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/ricneves-ai/flowgrammers-skillsnpx agentmods add commands/ricneves-ai/flowgrammers-skills/seo-auditorWrote 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/commands/ricneves-ai/flowgrammers-skills/seo-auditor)<a href="https://agentmods.dev/commands/ricneves-ai/flowgrammers-skills/seo-auditor"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/seo-auditor/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/commands/ricneves-ai/flowgrammers-skills/seo-auditor"><img src="https://agentmods.dev/badge/commands/ricneves-ai/flowgrammers-skills/seo-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00075 | $0.01533 |
| Opus 5 | $0.00037 | $0.00766 |
| Sonnet 5 | $0.00015 | $0.00307 |
| Haiku 4.5 | $0.00007 | $0.00153 |
Grade A, and why
seo-auditor scanned grade A with 1 finding 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 9d 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.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
find . -maxdepth 2 -name 'README.md' -not -path './.codex/*' -not -path './.gemini/*' | sort Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/seo-auditor
Varre, audita e otimiza sistematicamente arquivos de documentação para SEO. Foca em README.md e páginas docs/ — corrige problemas in-place, preserva rankings de páginas de alto desempenho e gera um relatório final.
Uso
/seo-auditor # Audita todos os docs/ e README.md raiz
/seo-auditor docs/skills/ # Audita um subdiretório específico
/seo-auditor --report-only # Varre sem fazer alterações
O que faz
Executa todas as 7 fases sequencialmente. Corrige automaticamente problemas não destrutivos. Preserva conteúdo já bem posicionado. Reporta tudo ao final.
Fase 1: Descoberta e Linha de Base
1a. Identificar arquivos alvo
find docs/ -name '*.md' -type f | sort
find . -maxdepth 2 -name 'README.md' -not -path './.codex/*' -not -path './.gemini/*' | sort
Classifica cada arquivo:
- Novos/modificados recentemente — arquivos alterados nos últimos 2 commits
- Páginas índice — arquivos
index.md(alta autoridade, tratar com cuidado) - Páginas de skill —
docs/skills/**/*.md - Páginas estáticas —
docs/index.md,docs/getting-started.md, etc. - Arquivos README — README.md raiz e de domínios
1b. Capturar linha de base
Para cada arquivo alvo, extrai o estado SEO atual: campo title:, campo description:, primeiro # H1, todos os H2/H3, contagem de palavras, links internos e externos.
Fase 2: Auditoria de Meta Tags
Tag de Título (title:)
- Deve existir e não estar vazia
- Tamanho ideal: 50–60 caracteres
- Deve conter uma palavra-chave principal
- Não deve duplicar o título de outra página
Meta Descrição (description:)
- Deve existir e não estar vazia
- Tamanho: 120–160 caracteres
- Deve conter a palavra-chave principal de forma natural
- Deve ser única entre todas as páginas
- Não deve começar com "Esta página..." ou "Este documento..."
Fase 3: Qualidade de Conteúdo e Legibilidade
Estrutura de Headings
- Exatamente um
# H1por página - H2s seguem H1, H3s seguem H2 — sem pular níveis
- Headings devem conter palavras-chave de forma natural
- Sem headings duplicados na mesma página
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.
- 9d ago First seen · 177 lines · 75 tokens per session scan A 6903255123bf
seo-auditor is a command published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 1,533 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.