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-revisar-ortografiagit 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-revisar-ortografia)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-revisar-ortografia"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-revisar-ortografia/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-revisar-ortografia"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-revisar-ortografia.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 | $0.00045 | $0.00434 |
| Opus 5.5 | $0.00018 | $0.00174 |
| Sonnet 5.5 | $0.00009 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
ag-revisar-ortografia 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
ag-revisar-ortografia — Revisar Ortografia
Spawn the ag-revisar-ortografia agent to check and fix spelling and accentuation in documents (PPTX, DOCX, PDF, TXT, MD) for PT-BR and EN.
Invocation
Use the Agent tool with:
subagent_type:ag-revisar-ortografiamode:autorun_in_background:falseprompt: Compose from template below + $ARGUMENTS
Prompt Template
Path: [arquivo ou pasta a revisar]
Idioma: [pt-br|en|auto]
Revise ortografia e acentuacao no(s) documento(s). Corrija silenciosamente e reporte o que foi corrigido.
Backends (ordem de prioridade): LanguageTool API > phunspell > pyspellchecker.
Formatos suportados: PPTX, DOCX, PDF, TXT, MD.
Important
- ALWAYS spawn as Agent subagent — do NOT execute inline
- Uses haiku model for cost efficiency
- After spawning, confirm to the user
Regra PDF -> Markdown (obrigatoria -- economia de tokens)
Qualquer PDF consumido por esta skill/machine DEVE ser convertido ANTES via markitdown:
bash ~/Claude/.claude/scripts/pdf2md.sh <arquivo.pdf> -> Read/Grep no .md gerado (cache automatico).
NUNCA Read direto de .pdf para extrair texto. Excecao visual (layout/slides): converter primeiro, Read multimodal depois. Enforcement: hook pdf-read-guard.sh. Detalhes: .claude/rules/pdf-markitdown.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.
- 1mo ago First seen · 43 lines · 45 tokens per session scan A 34f2575f9042
ag-revisar-ortografia is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 434 once invoked, about $0.0002 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 2026-09-03.
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