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/seo-content)<a href="https://agentmods.dev/commands/agencia-conversion/agentic-seo-skills/seo-content"><img src="https://agentmods.dev/badge/commands/agencia-conversion/agentic-seo-skills/seo-content/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/seo-content"><img src="https://agentmods.dev/badge/commands/agencia-conversion/agentic-seo-skills/seo-content.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 | $0.00024 | $0.00349 |
| Opus 5 | $0.00012 | $0.00175 |
| Sonnet 5 | $0.00005 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
seo-content 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 11d 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 content-seo skill for public SEO content work.
Request:
$ARGUMENTS
If $ARGUMENTS is empty, use the previous user message in the conversation as the request.
Follow the content-seo skill contract exactly:
- Run the phases in order by default:
brief→ optional review/decision (approvecompatibility alias) →write→check→promote. Record bypasses and limitations in the artifact. - Use DataForSEO (
node tools/clis/dataforseo.js status) as the default source for SERP and keyword evidence. If not configured, invoke thedata-setupskill. - Measure Top 3 competitor pages via
node tools/clis/extract.js --url <url> --format json. - Write artifacts under
project/contents/<slug>/only —workbench/,sources/,draft.md,checks.yaml,published.md. - Treat
project/brain/as evidence overlay, not a precondition. Mirror public content only on explicit user request and after checks pass. - Separate raw evidence, synthesis, and human judgment. Never fabricate volume, rankings, backlinks, credentials, or proof.
- Mark the briefing ready for writing when evidence and limitations are explicit; writing does not require an approver.
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.
- 11d ago First seen · 25 lines · 24 tokens per session scan A 3e8b01d14e1f
seo-content is a command published in the GitHub repository agencia-conversion/agentic-seo-skills (51 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 349 once invoked, about $0.0001 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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