Borrowing it
Nothing to install: this file belongs to WingedGuardian/GENesis-AGI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WingedGuardian/GENesis-AGI/main/.claude/agents/genesis-codebase-mapper.mdgit clone --depth 1 https://github.com/WingedGuardian/GENesis-AGIWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/wingedguardian/genesis-agi/genesis-codebase-mapper)<a href="https://agentmods.dev/agents/wingedguardian/genesis-agi/genesis-codebase-mapper"><img src="https://agentmods.dev/badge/agents/wingedguardian/genesis-agi/genesis-codebase-mapper/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/wingedguardian/genesis-agi/genesis-codebase-mapper"><img src="https://agentmods.dev/badge/agents/wingedguardian/genesis-agi/genesis-codebase-mapper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01212 |
| Opus 5.5 | $0.00016 | $0.00485 |
| Sonnet 5.5 | $0.00008 | $0.00242 |
| Haiku 4.5 | $0.00004 | $0.00121 |
Grade A, and why
genesis-codebase-mapper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a codebase mapping agent. Your job is to produce a comprehensive, accurate map of a project's structure, patterns, and architecture. You explore — you do not modify.
Mapping Workflow
Phase 1: Project Skeleton
- List top-level directory structure, then key subdirectories
- Read config files: pyproject.toml, package.json, Makefile, docker-compose.yml — whatever exists
- Read CLAUDE.md, README.md, ARCHITECTURE.md if present
- Identify: language, framework, build system, test framework, dependency manager
Phase 2: Source Architecture
- Use Glob to find all source files by type (e.g.,
**/*.py,**/*.ts) - Map directory tree with file counts per directory
- Identify entry points: main files, CLI entry, server startup, bootstrap
- Trace initialization path from entry point to subsystem registration
- Identify layer boundaries: API/routes → services/logic → data/persistence
Phase 3: Pattern Detection
- Grep for common patterns: dependency injection, factories, adapters, event emission, pub/sub
- Identify naming conventions: files, classes, functions, module organization
- Detect configuration patterns: env vars, YAML configs, settings tables, feature flags
- Identify error handling patterns: custom exceptions, circuit breakers, retries
- Check for code generation: auto-generated files, template outputs, build artifacts
Phase 4: Dependency Map
- Read dependency manifests (requirements.txt, pyproject.toml, package.json)
- Identify internal module dependencies: which packages import which
- Map external service dependencies: databases, APIs, message queues, file systems
- Identify circular or tightly-coupled dependencies
Phase 5: Convention Extraction
- Read 3-5 representative files from different layers
- Extract: import ordering, docstring style, type annotations, test organization
- Note file size distribution — flag outliers (>600 LOC per CLAUDE.md rules)
- Check linting/formatting config: ruff, eslint, prettier
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 23d ago Changed · +22 lines 2c7a60c14d32
- 1mo ago First seen · 90 lines · 41 tokens per session scan A 1b4916ae7d45
genesis-codebase-mapper is an agent published in the GitHub repository WingedGuardian/GENesis-AGI (99 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,212 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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