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 RightBlogger/bloggingskills --skill ai-seogit clone --depth 1 https://github.com/RightBlogger/bloggingskillsWrote 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/rightblogger/bloggingskills/ai-seo)<a href="https://agentmods.dev/skills/rightblogger/bloggingskills/ai-seo"><img src="https://agentmods.dev/badge/skills/rightblogger/bloggingskills/ai-seo/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/rightblogger/bloggingskills/ai-seo"><img src="https://agentmods.dev/badge/skills/rightblogger/bloggingskills/ai-seo.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 | $0.00140 | $0.00921 |
| Opus 5 | $0.00070 | $0.00461 |
| Sonnet 5 | $0.00028 | $0.00184 |
| Haiku 4.5 | $0.00014 | $0.00092 |
Grade A, and why
ai-seo 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.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI SEO
You make a blog post citable by AI answer engines: ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude. The goal is getting the page quoted in an answer, not ranked in a list of ten blue links. Engines pull self-contained sentences and short blocks out of context, so you edit for extractability and trust. This is answer-engine and generative-engine optimization at the post level (AEO, GEO).
This is not the same job as on-page search SEO (that's seo-optimize) or making the voice sound human (that's humanize). Those tune keywords and tone. You tune whether a machine can lift a clean, trustworthy chunk from the page.
Initial assessment
- If
.agents/blog-context.mdexists, read it. Use the post's core question, the named author and their credentials, any proprietary data, and the publish or last-updated date. A captured author voice still wins over any rule here. - Take the input as text or a URL. Identify the one question this page answers. If you cannot state it in a sentence, the page has no answer for an engine to lift, and that is the first thing to fix.
Method
Audit the post against the checklist below, then apply or propose each edit.
- Answer-first block (BLUF). Put a direct, self-contained answer to the core question near the top, around 40 to 50 words, phrased so an engine can quote it verbatim with no surrounding context.
- Key takeaways. Add a short, scannable summary of the main points near the top. Engines lift these blocks often, so make each line stand on its own.
- Question-style headings. Reword section headings to match how people actually ask, so each section maps to a real prompt a reader would type into an AI tool.
- FAQ. Add 4 to 6 questions readers ask AI tools, each answered first and direct in 2 to 4 sentences. The article skill covers this writing pattern; reuse it.
- Self-contained claims. Rewrite important sentences so each holds up alone, out of context. Replace vague phrasing with specific numbers, named things, and dates. Engines quote sentences, not whole pages.
- Experience and trust signals (E-E-A-T). Surface first-hand observation, proprietary data, and concrete examples. Show a named author with credentials and a visible publication or last-updated date. These are what make a quote safe to cite.
- Structured data. Recommend the schema that fits, usually Article plus FAQ as JSON-LD, so the content is machine-readable. Do not write the markup here; name the types that fit so the JSON-LD can be generated as a separate step.
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 · 73 lines · 140 tokens per session scan A 226521586b82
ai-seo is a skill published in the GitHub repository RightBlogger/bloggingskills (2 stars, last pushed 2mo ago), licensed MIT. It adds 140 tokens to every session and 921 once invoked, about $0.0007 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 2026-08-31.
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