Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/igoruehara/spec-drivennpx agentmods add skills/igoruehara/spec-driven/auditarWrote 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/igoruehara/spec-driven/auditar)<a href="https://agentmods.dev/skills/igoruehara/spec-driven/auditar"><img src="https://agentmods.dev/badge/skills/igoruehara/spec-driven/auditar/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/igoruehara/spec-driven/auditar"><img src="https://agentmods.dev/badge/skills/igoruehara/spec-driven/auditar.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 | $0.00077 | $0.00531 |
| Opus 5.5 | $0.00031 | $0.00212 |
| Sonnet 5.5 | $0.00015 | $0.00106 |
| Haiku 4.5 | $0.00008 | $0.00053 |
Grade A, and why
auditar 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 1mo 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.
What it actually says
Skill: Auditar a esteira SDD
Verifica se o projeto respeita o padrão da esteira. Duas camadas: estrutural (script, determinístico) e semântica (julgamento do agente).
1. Checagem estrutural (determinística)
Rode os validadores e reporte a saída:
node scripts/audit-esteira.mjs .
node scripts/validate-mermaid.mjs .
O primeiro cobre: frontmatter presente + dialeto certo (alwaysApply nos docs; name+description
nas skills), links relativos quebrados e toda specs/NNNN-*/ com spec.md. O segundo valida os
blocos Mermaid (tipo, aspas, delimitadores). Exit ≠ 0 em qualquer um = falhou.
2. Checagem semântica (julgamento)
O script não pega tudo. Verifique também:
- Rastreabilidade: cada
AC-Nda spec aparece emtasks.md(coluna "Cobre AC") e tem teste? - Specs órfãs: features em
specs/sem PR/implementação correspondente, ou paradas há tempo (cruze comSTATE.md). - Docs vivas: glossário e
context-map.mdrefletem os termos/fronteiras atuais? ADRs cobrem as decisões difíceis de reverter já tomadas? - DoD pendente: features marcadas prontas com
SPEC_DEVIATIONaberto ou AC sem teste. - Frontmatter
alwaysApply: o que é base estátrue; o restofalsecomdescriptionque diz quando puxar.
Saída
Liste as violações por arquivo, separando estrutural (corrigir já) de semântica (revisar). Ofereça corrigir as triviais (frontmatter, links). Não invente conformidade — relate o que achou.
Esta skill é o complemento humano/agente do gate de CI (
/setup-ciroda o mesmo script).
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.
- 1mo ago First seen · 36 lines · 77 tokens per session scan A f7f5573a3c8a
auditar is a skill published in the GitHub repository igoruehara/spec-driven (213 stars, last pushed 2mo ago), licensed MIT. It adds 77 tokens to every session and 531 once invoked, about $0.0003 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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