# Captain Claw Analyzes Itself

**Captain Claw used its own tools to read, analyze, and document its entire codebase — 137 Python files, 3.2M+ characters — producing a comprehensive system report and per-file summaries without any human intervention.**

This is the output of that self-analysis.

## The Prompt

A single instruction was given to a running Captain Claw instance:

> *Go through the captain_claw folder, read all Python files, JavaScript files, and HTML files. For each file, write its summary, description, purpose, and most important functions and procedures. Combine all reports into one comprehensive report with full details. Generate a beautiful, informative, and comprehensive report and visualization of the whole system.*

Captain Claw used its built-in `read`, `glob`, and `write` tools to traverse its own source tree, read every module, analyze the code, and produce structured documentation — a working demonstration of the system's autonomous capabilities.

## Model & Token Consumption

The entire analysis was performed using **Claude Haiku** (`claude-haiku-4-5-20251001`) via the Anthropic API — the fastest and most cost-efficient model in the Claude family. Captain Claw's built-in LLM Usage dashboard tracked every call in real time.

### Phase 1: File Summaries

Generating per-file summaries for all 137+ modules:

| Metric | Value |
|--------|-------|
| Total LLM calls | 139 |
| Total tokens | 1,104,149 |
| Prompt tokens | 966,747 |
| Completion tokens | 137,402 |
| Cache read | 38,920 |
| Cache created | 766,187 |
| Input size | 3.37 MB |
| Output size | 560.4 KB |
| Avg latency | 11.8 s |
| Errors | 0 |

Each call processed a single file through the `summarize_files` task — reading the source, analyzing structure and purpose, and writing a markdown summary.

### Phase 2: Final Report Synthesis

Combining all summaries into the comprehensive system report:

| Metric | Value |
|--------|-------|
| Total LLM calls | 152 |
| Total tokens | 1,663,404 |
| Prompt tokens | 1,464,066 |
| Completion tokens | 199,338 |
| Cache read | 214,060 |
| Cache created | 1,085,681 |
| Input size | 4.76 MB |
| Output size | 588.3 KB |
| Avg latency | 13.9 s |
| Errors | 0 |

The final 13 turns synthesized all per-file summaries into the architecture overview, design pattern analysis, and complete system report — with prompt caching kicking in heavily (214K tokens read from cache) as the context grew across turns.

**Zero errors across 152 calls.** The entire self-analysis completed autonomously.

## What It Found

The self-analysis identified and documented:

| Metric | Count |
|--------|-------|
| Python files analyzed | 137 |
| Characters processed | 3,235,331 |
| Core agent mixins | 13 |
| Built-in tools | 40+ |
| Web/REST endpoints | 100+ |
| Platform integrations | 5 |
| Memory layers | 3 |
| LLM providers supported | 5 |
| HTML templates | 23 |

## Generated Artifacts

### System Report

**`CAPTAIN_CLAW_COMPLETE_SYSTEM_REPORT.md`** — The primary output. A 595-line report covering:

- Executive summary with system statistics
- ASCII architecture diagrams (agent orchestration, memory layers, LLM providers, web infrastructure, platform integrations)
- Full tool ecosystem catalog (40+ tools across 7 categories)
- Three-layer memory architecture (working → semantic → deep)
- Step-by-step agent execution flow
- 10 key design patterns with rationale
- 10 notable technical achievements
- Security, performance, and configuration documentation
- Complete file organization tree

### Per-File Summaries (`file-desc/`)

Individual markdown summaries for every significant module. Each contains the file's purpose, description, key functions/classes, and how it connects to the rest of the system.

Examples from the `file-desc/` directory:

| File | Covers |
|------|--------|
| `agent_orchestration_mixin_summary.md` | The main turn-level request loop |
| `agent_tool_loop_mixin_summary.md` | LLM tool call extraction and execution |
| `agent_completion_mixin_summary.md` | Multi-stage validation gates |
| `agent_context_mixin_summary.md` | System prompt construction and token budgeting |
| `agent_guard_mixin_summary.md` | Input/output/script content filtering |
| `agent_scale_detection_mixin_summary.md` | Automatic large-task detection |
| `agent_reasoning_mixin_summary.md` | Contract generation and chain-of-thought |
| `agent_research_mixin_summary.md` | Multi-step web research pipeline |
| `agent_pipeline_mixin_summary.md` | DAG-based task decomposition |
| `agent_session_mixin_summary.md` | Token-aware messaging and persistence |
| `agent_pool_summary.md` | OpenAI-compatible API worker management |

### Additional Reports & Visualizations

| File | Format | Description |
|------|--------|-------------|
| `CAPTAIN_CLAW_FINAL_SYSTEM_REPORT.md` | Markdown | Refined report with module relationship focus |
| `CAPTAIN_CLAW_SYSTEM_ANALYSIS_REPORT.md` | Markdown | Analytical perspective — patterns and trade-offs |
| `CAPTAIN_CLAW_COMPREHENSIVE_ANALYSIS.html` | HTML | Interactive report with collapsible sections |
| `captain_claw_system_analysis.html` | HTML | Visual analysis with system diagrams |
| `CAPTAIN_CLAW_SYSTEM_DASHBOARD.html` | HTML | Dashboard-style overview with navigation |

## Why This Matters

This isn't just documentation — it's a proof of concept. Captain Claw is a local AI agent runtime designed to handle complex, multi-step tasks autonomously. Having it analyze its own ~137-file codebase in a single prompt demonstrates:

- **Tool orchestration** — the agent chose the right tools (`glob` to discover files, `read` to ingest them, `write` to produce output) without being told which to use
- **Scale handling** — processing 3.2M+ characters across 137 files required chunked analysis and synthesis
- **Coherent synthesis** — the final report isn't just file dumps; it identifies architecture patterns, design decisions, and cross-module relationships
- **Autonomous execution** — one prompt in, structured documentation out, no hand-holding
- **Cost efficiency** — the entire analysis ran on Claude Haiku, completing 152 calls with zero errors

## About Captain Claw

[Captain Claw](https://github.com/kstevica/captain-claw) is an open-source AI agent runtime that runs locally and supports multiple LLM providers. Key capabilities:

- **Multi-model routing** — OpenAI, Anthropic, Gemini, Ollama, xAI in one runtime
- **Persistent sessions** — named sessions with full history and per-session model selection
- **40+ built-in tools** — shell, files, web, browser automation, document processing, email, TTS, Google Workspace, and more
- **DAG orchestration** — parallel multi-session task execution
- **Safety guards** — input, output, and script/tool validation
- **Three-layer memory** — working, semantic (FTS5 + vector), and deep (Typesense)
- **BotPort** — agent-to-agent communication across instances
- **Web UI** at `http://127.0.0.1:23080` + terminal UI
- **Remote integrations** — Telegram, Slack, Discord
- **OpenAI-compatible API** — drop-in `/v1/chat/completions` endpoint

```bash
pip install captain-claw
captain-claw
```

MIT Licensed · [GitHub](https://github.com/kstevica/captain-claw) · [Docker Hub](https://hub.docker.com/r/kstevica/captain-claw) · [Dev.to](https://dev.to/kstevica/i-got-tired-of-gluing-tools-together-so-i-built-my-own-ai-agent-runtime-3eo7)

## Repository Structure

```
.
├── CAPTAIN_CLAW_COMPLETE_SYSTEM_REPORT.md   ← primary self-analysis report
├── CAPTAIN_CLAW_FINAL_SYSTEM_REPORT.md
├── CAPTAIN_CLAW_SYSTEM_ANALYSIS_REPORT.md
├── CAPTAIN_CLAW_COMPREHENSIVE_ANALYSIS.html
├── captain_claw_system_analysis.html
├── CAPTAIN_CLAW_SYSTEM_DASHBOARD.html
├── file-desc/                                ← per-file summaries
│   ├── __init___summary.md
│   ├── agent_orchestration_mixin_summary.md
│   ├── agent_tool_loop_mixin_summary.md
│   ├── agent_completion_mixin_summary.md
│   ├── agent_context_mixin_summary.md
│   ├── agent_guard_mixin_summary.md
│   ├── agent_model_mixin_summary.md
│   ├── agent_pipeline_mixin_summary.md
│   ├── agent_reasoning_mixin_summary.md
│   ├── agent_research_mixin_summary.md
│   ├── agent_scale_detection_mixin_summary.md
│   ├── agent_scale_loop_mixin_summary.md
│   ├── agent_session_mixin_summary.md
│   ├── agent_chunked_processing_mixin_summary.md
│   ├── agent_file_ops_mixin_summary.md
│   ├── agent_pool_summary.md
│   └── ... (100+ more)
└── README.md
```

---

*Captain Claw analyzed itself on March 13, 2026 using Claude Haiku · 152 API calls · 1.66M tokens · 0 errors · [github.com/kstevica/captain-claw](https://github.com/kstevica/captain-claw)*