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.
npx skills add andregusman-raiz/a-gusman-claude --skill ag-13-limpar-codigogit clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claudeWrote 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/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo/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/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00044 | $0.04684 |
| Opus 5 | $0.00022 | $0.02342 |
| Sonnet 5 | $0.00009 | $0.00937 |
| Haiku 4.5 | $0.00004 | $0.00468 |
Grade A, and why
ag-13-limpar-codigo 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 13d 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 — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LIMPAR CODIGO — Maquina Autonoma de Dead Code Cleanup
Invocacao
/ag-13-limpar-codigo # Diagnostico + plano (default report-only) — target=code
/ag-13-limpar-codigo --triage-only # So lista, sem plano nem fix
/ag-13-limpar-codigo --apply-quick-wins # P0+P1 high-confidence auto-aplicados (PRs atomicos)
/ag-13-limpar-codigo --full-pipeline # Todos os Ps com gates entre PRs (max ciclos = 2)
/ag-13-limpar-codigo --create-issues # Cria GitHub issues por P do plano
/ag-13-limpar-codigo --resume # Retoma de limpar-codigo-state.json
/ag-13-limpar-codigo --target=harness # Limpa dead skills/hooks/MCPs do proprio harness Claude Code
/ag-13-limpar-codigo categoria:components # So componentes nunca renderizados
/ag-13-limpar-codigo categoria:imports # So unused imports
/ag-13-limpar-codigo categoria:state # So useState/useReducer morto
/ag-13-limpar-codigo categoria:comments # So comentarios sem explicacao
/ag-13-limpar-codigo categoria:duplicacao # So duplicacao de codigo (jscpd)
Targets
| Target | Escopo | Delega para |
|---|---|---|
code (default) |
Codigo da aplicacao no CWD | Pipeline 5-fases proprio |
harness |
~/Claude/.claude/skills/, hooks/, rules/, MCPs instalados |
ag-otimizar-harness |
--target=harness — comportamento
- Spawna
ag-otimizar-harness(mesmo modo: triage / apply-quick-wins / full) - Para
--apply-quick-winsem harness:- Aplica markers
cache_control: ephemeralem skills elegiveis (delegaag-otimizar-cache) - Marca
metadata.deprecated: trueem skills com 0 invocacoes em 90 dias - Sinaliza MCPs com ratio < 0.05 para revisao manual (NAO desinstala automatico)
- Aplica markers
- Output:
~/Claude/docs/diagnosticos/harness-optimization-YYYY-MM-DD.md - PR atomico:
chore(harness): cleanup harness YYYY-MM-DDse--apply-quick-winsou--full-pipeline
NUNCA delete automatico de skill (apenas marca). Decisao final via ag-curador-skills trimestral.
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.
- 13d ago First seen · 381 lines · 44 tokens per session scan A 8fe7c3b48271
ag-13-limpar-codigo is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 4d ago), licensed MIT. It adds 44 tokens to every session and 4,684 once invoked, about $0.0002 per session on Opus 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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retrospective-audit
Stage B of /prflow:retrospective-weekly: given a most-recent-first subset of one recurring pattern's occurrence-PR context bundles (bounded by auditbundlecap), re-derive the root cause and return one JSON object carrying a ranked findings array (one to three sub-patterns) — no edits, no worktree. Invoked as a subagent…
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