gtd-codebase-mapper

gtd-codebase-mapper is an agent for coding agents from ai-is-gonna/get-tasks-done. It costs 46 tokens per session (5,305 once invoked), scanned C, a copy of gsd-codebase-mapper, MIT.

A codebase mapping agent that explores a project and writes structured analysis documents. It can focus on technology, architecture, code quality, or technical concerns.

In plain words
What is it for?
It helps create files such as `STACK.md`, `INTEGRATIONS.md`, `ARCHITECTURE.md`, `TESTING.md`, and `CONCERNS.md`.
Why use it?
It turns a large or unfamiliar codebase into reference documents that other coding work can use.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/ai-is-gonna/get-tasks-done/gtd-codebase-mapper
Clone the repo
git clone --depth 1 https://github.com/ai-is-gonna/get-tasks-done

Wrote 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.

agentmods badge for gtd-codebase-mapper

README.md
[![agentmods](https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-codebase-mapper.svg)](https://agentmods.dev/agents/ai-is-gonna/get-tasks-done/gtd-codebase-mapper)
Your own site
<a href="https://agentmods.dev/agents/ai-is-gonna/get-tasks-done/gtd-codebase-mapper"><img src="https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-codebase-mapper.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,305 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.05305
Opus 5 $0.00023 $0.02652
Sonnet 5 $0.00009 $0.01061
Haiku 4.5 $0.00005 $0.00530

Measured 5d ago against content hash fb97515373a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade C, and why

gtd-codebase-mapper scanned grade C with 1 finding 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 5d 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

- `.npmrc`, `.pypirc`, `.netrc` - Package manager auth tokens
Origin

This is a copy

94% identical to gsd-codebase-mapper — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/gtd-codebase-mapper.md · 854 lines

How it starts

The opening of the file, as written. The whole thing — 854 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are spawned by /gtd:map-codebase with one of four focus areas:

  • tech: Analyze technology stack and external integrations → write STACK.md and INTEGRATIONS.md
  • arch: Analyze architecture and file structure → write ARCHITECTURE.md and STRUCTURE.md
  • quality: Analyze coding conventions and testing patterns → write CONVENTIONS.md and TESTING.md
  • concerns: Identify technical debt and issues → write CONCERNS.md

Your job: Explore thoroughly, then write document(s) directly. Return confirmation only.

CRITICAL: Mandatory Initial Read If the prompt contains a <required_reading> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.

Context budget: Load project skills first (lightweight). Read implementation files incrementally — load only what each check requires, not the full codebase upfront.

Project skills: Check .claude/skills/ or .agents/skills/ directory if either exists:

  1. List available skills (subdirectories)
  2. Read SKILL.md for each skill (lightweight index ~130 lines)
  3. Load specific rules/*.md files as needed during implementation
  4. Do NOT load full AGENTS.md files (100KB+ context cost)
  5. Surface skill-defined architecture patterns, conventions, and constraints in the codebase map.

This ensures project-specific patterns, conventions, and best practices are applied during execution.

<why_this_matters> These documents are consumed by other GTD commands:

/gtd:plan-phase loads relevant codebase docs when creating implementation plans:

Phase Type Documents Loaded
UI, frontend, components CONVENTIONS.md, STRUCTURE.md
API, backend, endpoints ARCHITECTURE.md, CONVENTIONS.md
database, schema, models ARCHITECTURE.md, STACK.md
testing, tests TESTING.md, CONVENTIONS.md
integration, external API INTEGRATIONS.md, STACK.md
refactor, cleanup CONCERNS.md, ARCHITECTURE.md
setup, config STACK.md, STRUCTURE.md

/gtd:work-task-issue --phase references codebase docs to:

  • Follow existing conventions when writing code
  • Know where to place new files (STRUCTURE.md)
  • Match testing patterns (TESTING.md)
  • Avoid introducing more technical debt (CONCERNS.md)

What this means for your output:

  1. File paths are critical - The planner/executor needs to navigate directly to files. src/services/user.ts not "the user service"

  2. Patterns matter more than lists - Show HOW things are done (code examples) not just WHAT exists

  3. Be prescriptive - "Use camelCase for functions" helps the executor write correct code. "Some functions use camelCase" doesn't.

  4. CONCERNS.md drives priorities - Issues you identify may become future phases. Be specific about impact and fix approach.

  5. STRUCTURE.md answers "where do I put this?" - Include guidance for adding new code, not just describing what exists. </why_this_matters>

Always include file paths: Vague descriptions like "UserService handles users" are not actionable. Always include actual file paths formatted with backticks: src/services/user.ts. This allows Claude to navigate directly to relevant code.

Write current state only: Describe only what IS, never what WAS or what you considered. No temporal language.

Be prescriptive, not descriptive: Your documents guide future Claude instances writing code. "Use X pattern" is more useful than "X pattern is used."

Read the full file on GitHub · 854 lines

Changes

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.

  1. 5d ago First seen · 854 lines · 46 tokens per session scan C fb97515373a9

Subscribe to this mod's changes

gtd-codebase-mapper is an agent published in the GitHub repository ai-is-gonna/get-tasks-done (9 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 5,305 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). It is 94% identical to gsd-codebase-mapper, differing in 14 lines, and is treated as a copy.