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 jdevalk/skills --skill content-seogit clone --depth 1 https://github.com/jdevalk/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/skills/jdevalk/skills/content-seo)<a href="https://agentmods.dev/skills/jdevalk/skills/content-seo"><img src="https://agentmods.dev/badge/skills/jdevalk/skills/content-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/jdevalk/skills/content-seo"><img src="https://agentmods.dev/badge/skills/jdevalk/skills/content-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00155 | $0.02039 |
| Opus 5.5 | $0.00062 | $0.00816 |
| Sonnet 5.5 | $0.00031 | $0.00408 |
| Haiku 4.5 | $0.00015 | $0.00204 |
Grade A, and why
content-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 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content SEO audit
Audit a post or page draft for whether it earns a ranking — not how it reads. This skill covers the content-level questions: does the post match a real search intent, does it use the words searchers use, does it demonstrate experience and trustworthiness, and does it give the searcher a reason to stay.
This is the third pass in the writing-quality chain. Run readability-check first (how the prose reads), metadata-check on the title and meta description, and this skill on the question of whether the content deserves the click. Technical SEO — sitemaps, structured data, canonicals, performance — belongs to astro-seo or static-seo.
Before you audit
You need two facts. If the user hasn't supplied them, derive them and state your assumption — a wrong assumption flagged is better than a silent one:
- The focus keyphrase: the exact query this post should rank for, in the words a searcher would type. If the user can't name one, derive the apparent keyphrase from the title and headings — and report that as the first finding, because a post written without a target query usually serves none.
- The audience and their problem: who lands on this page and what they were trying to fix when they searched.
The reader decides what quality is, not the writer. Every check below reduces to one question: does this content serve the person who typed the query better than what's already ranking?
What to check
Read the full post, then report on each criterion below. For every issue, quote the specific text, reference its location, explain the problem, and suggest a concrete fix.
1. Search intent fit
Searchers arrive with one of four intents, and the content type must match:
- Informational ("how does X work") — wants a guide or explainer, not a product pitch.
- Commercial investigation ("best X for Y", "X vs Z") — wants comparison and honest trade-offs.
- Transactional ("buy X", "X pricing") — wants a product or category page with a clear path to purchase.
- Navigational ("X login", brand names) — wants a specific page; don't intercept it with a blog post.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 130 lines · 155 tokens per session scan A 6fe4bbc27f29
content-seo is a skill published in the GitHub repository jdevalk/skills (108 stars, last pushed 3mo ago), licensed MIT. It adds 155 tokens to every session and 2,039 once invoked, about $0.0006 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 2026-08-30.
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