ag-13-limpar-codigo

ag-13-limpar-codigo is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 44 tokens per session (4,684 once invoked), scanned A, original, MIT.

An automated workflow for finding and removing dead code—code that is no longer used—using code analysis and bundle checks. It can organize changes into small pull requests, with different confidence levels for proposed removals.

In plain words
What is it for?
Use it to find unused imports, components, state, comments, duplicate code, or unused skills and hooks, then create a cleanup plan or apply selected fixes.
Why use it?
It helps reduce technical debt and unused code while separating safer cleanups from changes that need more review.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions subagents; mentions Claude Code.

Good fit Use it to find unused imports, components, state, comments, duplicate code, or unused skills and hooks, then create a cleanup plan or apply selected fixes.

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Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo
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.

Any agent
npx skills add andregusman-raiz/a-gusman-claude --skill ag-13-limpar-codigo
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

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 ag-13-limpar-codigo

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-13-limpar-codigo)
Your own site
<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.

agentmods 80×15 button for ag-13-limpar-codigo

Your own site · 80×15
<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>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found 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 $0.00044 $0.04684
Opus 5 $0.00022 $0.02342
Sonnet 5 $0.00009 $0.00937
Haiku 4.5 $0.00004 $0.00468

Measured 13d ago against content hash 8fe7c3b48271, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/ag-13-limpar-codigo/SKILL.md · 381 lines

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

  1. Spawna ag-otimizar-harness (mesmo modo: triage / apply-quick-wins / full)
  2. Para --apply-quick-wins em harness:
    • Aplica markers cache_control: ephemeral em skills elegiveis (delega ag-otimizar-cache)
    • Marca metadata.deprecated: true em skills com 0 invocacoes em 90 dias
    • Sinaliza MCPs com ratio < 0.05 para revisao manual (NAO desinstala automatico)
  3. Output: ~/Claude/docs/diagnosticos/harness-optimization-YYYY-MM-DD.md
  4. PR atomico: chore(harness): cleanup harness YYYY-MM-DD se --apply-quick-wins ou --full-pipeline

NUNCA delete automatico de skill (apenas marca). Decisao final via ag-curador-skills trimestral.

Read the full file on GitHub · 381 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. 13d ago First seen · 381 lines · 44 tokens per session scan A 8fe7c3b48271

Subscribe to this mod's changes

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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