Crawler Summary

clawtographer answer-first brief

Codebase cartographer - maps and documents codebases using parallel local LLM agents --- name: clawtographer description: "Codebase cartographer - maps and documents codebases using parallel local LLM agents" --- Clawtographer Skill Overview Clawtographer is a codebase mapping tool that generates comprehensive architecture documentation using parallel local LLM agents. It analyzes code structure, dependencies, and logic to create navigable codebase maps. When to Use Clawtographer Use Clawtographer wh Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

clawtographer is best for now workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 89/100

clawtographer

Codebase cartographer - maps and documents codebases using parallel local LLM agents --- name: clawtographer description: "Codebase cartographer - maps and documents codebases using parallel local LLM agents" --- Clawtographer Skill Overview Clawtographer is a codebase mapping tool that generates comprehensive architecture documentation using parallel local LLM agents. It analyzes code structure, dependencies, and logic to create navigable codebase maps. When to Use Clawtographer Use Clawtographer wh

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Jgnft17

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/JGnft17/clawtographer.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Jgnft17

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

4

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

python3 ~/clawtographer/cartographer.py /path/to/codebase

bash

# Map current directory
python3 ~/clawtographer/cartographer.py . docs 3

# Map specific project
python3 ~/clawtographer/cartographer.py /path/to/project

# More parallel agents (faster, more compute)
python3 ~/clawtographer/cartographer.py /path/to/project docs 5

json

{
  "max_tokens_per_chunk": 180000,
  "max_parallel_agents": 3,
  "ignore_patterns": [".git", "node_modules", "*.pyc"]
}

text

User: Help me add a feature to this project
Agent: [runs Clawtographer first]
Agent: [reads CODEBASE_MAP.md to understand architecture]
Agent: [makes informed changes in the right places]

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Codebase cartographer - maps and documents codebases using parallel local LLM agents --- name: clawtographer description: "Codebase cartographer - maps and documents codebases using parallel local LLM agents" --- Clawtographer Skill Overview Clawtographer is a codebase mapping tool that generates comprehensive architecture documentation using parallel local LLM agents. It analyzes code structure, dependencies, and logic to create navigable codebase maps. When to Use Clawtographer Use Clawtographer wh

Full README

name: clawtographer description: "Codebase cartographer - maps and documents codebases using parallel local LLM agents"

Clawtographer Skill

Overview

Clawtographer is a codebase mapping tool that generates comprehensive architecture documentation using parallel local LLM agents. It analyzes code structure, dependencies, and logic to create navigable codebase maps.

When to Use Clawtographer

Use Clawtographer whenever:

  • User asks to "map this codebase" or "document this project"
  • Understanding large/complex codebases
  • Building something requiring existing code structure knowledge
  • Architecture documentation needs
  • Analyzing dependencies/data flows

Common triggers:

  • "Map this codebase"
  • "Document this project's architecture"
  • "Help me understand how this code works"
  • "Create a codebase overview"

DO NOT use for:

  • Single file analysis
  • Projects under 10 files
  • Specific code reading (use regular file viewing)

What Clawtographer Does

  1. Scans codebase, counts tokens per file
  2. Splits files into chunks fitting LLM context windows
  3. Spawns parallel LLM agents analyzing chunks
  4. Synthesizes analyses into comprehensive CODEBASE_MAP.md
  5. Saves to docs/CODEBASE_MAP.md

How to Use Clawtographer

Basic Usage

python3 ~/clawtographer/cartographer.py /path/to/codebase

This creates docs/CODEBASE_MAP.md in the target directory.

Advanced Usage

# Map current directory
python3 ~/clawtographer/cartographer.py . docs 3

# Map specific project
python3 ~/clawtographer/cartographer.py /path/to/project

# More parallel agents (faster, more compute)
python3 ~/clawtographer/cartographer.py /path/to/project docs 5

Configuration

Edit ~/clawtographer/config.json:

{
  "max_tokens_per_chunk": 180000,
  "max_parallel_agents": 3,
  "ignore_patterns": [".git", "node_modules", "*.pyc"]
}

Model Selection Strategy

Priority order:

  1. Local models (free): GLM, Qwen, Llama, Mistral
  2. Auto-detects available models
  3. Uses best available for code analysis

Cost: Always FREE - uses local Ollama models only.

Output Format

Creates docs/CODEBASE_MAP.md containing:

  • Overview and architecture summary
  • Directory structure with descriptions
  • Key components and responsibilities
  • Data flows and dependencies
  • Navigation guide for finding functionality

Integration with OpenClaw Workflow

Typical workflow:

  1. User uploads codebase or references project path
  2. Agent runs Clawtographer to generate map
  3. Agent reads CODEBASE_MAP.md
  4. Agent can now navigate and work with the codebase intelligently

Example:

User: Help me add a feature to this project
Agent: [runs Clawtographer first]
Agent: [reads CODEBASE_MAP.md to understand architecture]
Agent: [makes informed changes in the right places]

Error Handling

  • Respects .gitignore patterns
  • Skips binary files automatically
  • Handles encoding errors gracefully
  • Saves progress (resume if interrupted)
  • Rate limiting for API calls

Performance Estimates

Small project (50 files, 50K tokens):

  • Time: 2-5 minutes
  • Cost: FREE

Medium project (500 files, 500K tokens):

  • Time: 10-20 minutes
  • Cost: FREE

Large project (2000+ files, 2M tokens):

  • Time: 30-60 minutes
  • Cost: FREE

Best Practices

When to Map a Codebase

  • Before making changes to unfamiliar code
  • When onboarding to a new project
  • Before architectural decisions
  • When documenting existing systems

How to Use the Map

  • Read the overview first for context
  • Use directory structure to navigate
  • Reference component descriptions when editing
  • Update map after major changes

When NOT to Use

  • For single-file analysis
  • Very small projects (< 10 files)
  • When you just need to read one specific file

Troubleshooting

"No Ollama models found"

  • Install Ollama: brew install ollama
  • Pull a model: ollama pull glm-4.7-flash

"Analysis timed out"

  • Reduce max_parallel_agents in config
  • Large files take time - this is normal

"All chunks failed"

  • Check Ollama is running: ollama ps
  • Check model availability: ollama list
  • Look in .clawtographer_cache/ for errors

Philosophy

Clawtographer embodies the "small hardware doing big things" philosophy:

  • Free: No API costs, runs locally
  • Resumable: Caches progress, recovers from interrupts
  • Efficient: Parallel processing maximizes throughput
  • Smart: Synthesizes coherent documentation

Understanding code shouldn't require expensive cloud APIs.


Made with 🦞 for the OpenClaw community

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/snapshot"
curl -s "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/contract"
curl -s "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/jgnft17-clawtographer/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/jgnft17-clawtographer/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/jgnft17-clawtographer/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:49:09.631Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "now",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:now|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Jgnft17",
    "href": "https://github.com/JGnft17/clawtographer",
    "sourceUrl": "https://github.com/JGnft17/clawtographer",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:43.206Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:23:43.206Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/jgnft17-clawtographer/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to clawtographer and adjacent AI workflows.