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.
git clone --depth 1 https://github.com/agencia-conversion/agentic-seo-skillsWrote 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/agencia-conversion/agentic-seo-skills/spec-driven)<a href="https://agentmods.dev/commands/agencia-conversion/agentic-seo-skills/spec-driven"><img src="https://agentmods.dev/badge/commands/agencia-conversion/agentic-seo-skills/spec-driven/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/agencia-conversion/agentic-seo-skills/spec-driven"><img src="https://agentmods.dev/badge/commands/agencia-conversion/agentic-seo-skills/spec-driven.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 | $0.00032 | $0.00233 |
| Opus 5 | $0.00016 | $0.00117 |
| Sonnet 5 | $0.00006 | $0.00047 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
spec-driven 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 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.
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
Invoke the spec-driven skill on the user's most recent compound request.
Request to decompose:
$ARGUMENTS
If $ARGUMENTS is empty, use the previous user message in the conversation as the request.
Follow the spec-driven skill contract exactly:
- Decompose the request into deliverables, source inputs, downstream skills, dependencies, decision gates, and deterministic checks.
- Present a simple design (entregáveis, ordem, decisões, critérios de sucesso, arquivos de controle).
- Write
project/workbench/specs/<slug>/spec.md,plan.md, andresult-check.mdunless the user explicitly requested review-only planning. - Never write into
project/brain/from this command. - Name every downstream gate with its consequence.
Preserve pt-BR diacritics in all human-facing prose.
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 · 23 lines · 32 tokens per session scan A ebc98ed52c8b
spec-driven is a command published in the GitHub repository agencia-conversion/agentic-seo-skills (50 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 233 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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