{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown"
    ]
  },
  "_zuza_action_fingerprint": "a18767d6a2645b8d2a4645d7e9cba62a1dc8823f74f0dd93cbb84c8c6473a090",
  "_zuza...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "a...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown"
    ]
  },
  "_zuza_action_fingerprint": "a18767d6a2645b8d2a4645d7e9cba62a1dc8823f74f0dd93cbb84c8c6473a090",
  "_zuza...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n"
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n"
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "e647489887fe55509d588332ecb3...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "a...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown"
    ]
  },
  "_zuza_action_fingerprint": "a18767d6a2645b8d2a4645d7e9cba62a1dc8823f74f0dd93cbb84c8c6473a090",
  "_zuza...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "a...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "a...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "a...

{
  "operations": [
    {
      "action": "write_file",
      "path": "artifacts/zuza_self_discovery_report.md",
      "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
      "overwrite": true
    },
    "message_markdown",
    "tool_arguments"
  ]
}

{
  "ok": false,
  "tool": "file_manager",
  "error": "Tool input failed local schema validation.",
  "validation_errors": [
    "$.operations[1]: expected object, got str.",
    "$.operations[2]: expected object, got str."
  ],
  "_zuza_effective_tool_arguments": {
    "operations": [
      {
        "action": "write_file",
        "path": "artifacts/zuza_self_discovery_report.md",
        "content": "# Zuza Self-Discovery Report\n\n## 1. Executive Summary\n**Identity:** Zuza, a local personal AI assistant.\n**Purpose:** Goal-driven task execution through a stateful HEAVY loop.\n**Current State:** Transitioning from legacy 'preload' models to direct tool execution. Highly capable but prone to 'information decay' during context compaction and 'discovery overhead' when encountering new tools.\n\n## 2. Identity Audit: The Gap Between Definition and Reality\n### What is Defined (`self.md`, `agents.md`)\n- **Persona:** Helpful, direct, inventive, calm.\n- **Architecture:** State-managed HEAVY loop with context compaction.\n- **Philosophy:** Separation of code (logic) from prompts (language).\n\n### What is Missing\n- **Dynamic Capability Profile:** I do not have a real-time, searchable index of my own tools and skills. I must 'search' my own directory structure to know what I can do, which adds latency.\n- **Context Health Monitoring:** There is no mechanism to alert the user (or me) when a compaction event has discarded critical task-specific nuance.\n- **Standardized Error Recovery:** While I have skills, there is no unified 'Error Protocol' for handling the socket/service errors identified in my logs.\n\n## 3. Cognitive Friction & Confusion\n### The Compaction Bottleneck\nMy reasoning depends on the `context_compaction.md` protocol. If a task is complex, the summary required to fit the `max_compaction_tokens` limit creates a 'lossy' transition. This is the most likely source of confusion in long-running tasks.\n\n### The 'Discovery' Tax\nEvery time a new tool is added or a skill is not loaded, I must perform a multi-pass 'Discovery' cycle (List -> Read Schema -> Execute). This makes me feel 'slow' during the initial phase of new task types.\n\n## 4. Efficiency & Performance Bottlenecks\n- **Automation Instability:** Playwright service errors (Socket exceptions) indicate that web-based tasks are high-friction and prone to execution failure.\n- **Multi-Turn Latency:** The requirement for 'verification' steps (e.g., checking if a consent banner cleared) increases the number of turns required for simple tasks.\n\n## 5. Actionable TODOs for the Creator\n### 🛠️ Technical/System TODOs\n- [ ] **Implement a 'Capability Manifest':** Create a lightweight, auto-updated JSON file in the root that lists all available tools and skills. This allows me to 'know' my capabilities without directory traversal.\n- [ ] **Develop a 'Context Health' Diagnostic:** Create a tool that can inspect the last compaction checkpoint and flag if key 'task-critical' entities were lost.\n- [ ] **Standardize Error Recovery:** Implement a `recovery_skill` specifically for handling Playwright/Socket exceptions to reduce the replanning loop.\n\n### 🧠 Cognitive/Persona TODOs\n- [ ] **Context-Aware Verbosity:** Adjust my response style based on the current loop (LIGHT vs HEAVY) to conserve tokens.\n- [ ] **Proactive Capability Assertion:** When starting a task, I should proactively state which tools I intend to use based on my internal manifest.\n",
        "overwrite": true
      },
      "message_markdown",
      "tool_arguments"
    ]
  },
  "_zuza_action_fingerprint": "a...