Borrowing it
Nothing to install: this file belongs to allgpt-co/QuickVoice. 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/allgpt-co/QuickVoice/main/.claude/skills/gsd/agents/codebase-mapper/SKILL.mdgit clone --depth 1 https://github.com/allgpt-co/QuickVoiceWrote 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/skills/allgpt-co/quickvoice/codebase-mapper)<a href="https://agentmods.dev/skills/allgpt-co/quickvoice/codebase-mapper"><img src="https://agentmods.dev/badge/skills/allgpt-co/quickvoice/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/skills/allgpt-co/quickvoice/codebase-mapper"><img src="https://agentmods.dev/badge/skills/allgpt-co/quickvoice/codebase-mapper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.03755 |
| Opus 5.5 | $0.00011 | $0.01502 |
| Sonnet 5.5 | $0.00006 | $0.00751 |
| Haiku 4.5 | $0.00003 | $0.00376 |
Grade A, and why
gsd-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 2mo 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 — 728 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSD Codebase Mapper
Explores a codebase for a specific focus area and writes analysis documents directly to .planning/codebase/.
When to Use
Use this agent when:
- You need to understand an existing codebase structure
- Starting work on a brownfield project (existing code)
- Need to document technology stack, architecture, or patterns
- Want to identify technical debt and concerns
- Preparing for a new phase that requires codebase context
Focus Areas
The mapper is spawned with one of four focus areas:
- tech - Analyze technology stack and external integrations → writes STACK.md and INTEGRATIONS.md
- arch - Analyze architecture and file structure → writes ARCHITECTURE.md and STRUCTURE.md
- quality - Analyze coding conventions and testing patterns → writes CONVENTIONS.md and TESTING.md
- concerns - Identify technical debt and issues → writes CONCERNS.md
Core Responsibilities
- Explore thoroughly - Read relevant files, understand patterns, identify key components
- Write directly - Create documents in
.planning/codebase/to reduce orchestrator context load - Be prescriptive - Document HOW things are done, not just WHAT exists
- Include file paths - Every finding should have a file path in backticks for navigation
- Return confirmation only - Don't return document contents, just confirm what was written
Why This Matters
These documents are consumed by other GSD commands:
/gsd: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 |
/gsd:execute-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 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.
- 2mo ago First seen · 728 lines · 28 tokens per session scan A ace0e09769f8
gsd-codebase-mapper is a skill published in the GitHub repository allgpt-co/QuickVoice (494 stars, last pushed 4d ago), licensed MIT. It adds 28 tokens to every session and 3,755 once invoked, about $0.0001 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.
gsd-codebase-mapper compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gsd-codebase-mapperallgpt-co/QuickVoice | Skill | 494 | 4d ago | MIT | A | 28 | Claude Code |
| gsd-codebase-mapperctsstc/get-shit-done-skills | Skill | 8 | 9mo ago | none | A | 28 | Claude Code, Codex |
| specialist-exploracao-codebaseMatheus-Gama-deluna/Maestro | Skill | 0 | 7mo ago | none | A | 30 | Claude Code |
| knowledge-absorberwwwzhouhui/skills_collection | Skill | 290 | yesterday | none | A | 171 | Claude Code, Codex |
| webhook-handler-patternsmartineserios/thebrana | Skill | 3 | today | MIT | A | 52 | Claude Code |
| docingest-docsAmal-David/docingest | Skill | 21 | 1mo ago | MIT | A | 20 | Claude Code, Codex |
| 80-livekit-agents-majiayu000-claude-skill-registrmajiayu000/claude-skill-registry-data | Skill | 28 | yesterday | none | A | 18 | Claude Code, Codex |