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 Infrasity-Labs/dev-gtm-claude-skills --skill blog-seo-checkgit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-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/infrasity-labs/dev-gtm-claude-skills/blog-seo-check)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/blog-seo-check"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-seo-check/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/infrasity-labs/dev-gtm-claude-skills/blog-seo-check"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-seo-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Output Handling · line 41 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00131 | $0.02155 |
| Opus 5 | $0.00066 | $0.01077 |
| Sonnet 5 | $0.00026 | $0.00431 |
| Haiku 4.5 | $0.00013 | $0.00215 |
Grade A, and why
blog-seo-check 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.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog SEO Check: Post-Writing Validation
Runs a comprehensive on-page SEO validation against a completed blog post and generates a pass/fail checklist with specific fixes for each failure. Designed to run after writing - catches issues before publishing.
Workflow
Step 1: Read Content
Read the target file and extract:
- Frontmatter - title, description, date, lastUpdated, author, tags, canonical, og:image, slug/URL
- Heading structure - H1, H2, H3 hierarchy with full text
- Links - All internal and external links with anchor text
- Meta tags - OG tags, Twitter Card tags, canonical URL
- Body content - Full text for keyword and structural analysis
If the user provides a URL instead of a file path, use WebFetch to retrieve the page and extract the relevant elements.
Step 2: Title Tag Validation
| Check | Pass Criteria |
|---|---|
| Character count | 40-60 characters (no truncation in SERPs) |
| Keyword placement | Primary keyword in first half of title |
| Power word | Contains at least one power word (e.g., Guide, Best, How, Why, Essential, Proven, Complete) |
| Truncation risk | No critical meaning lost if truncated at 60 chars |
| Uniqueness | Not generic - specific to the content |
Step 3: Meta Description
| Check | Pass Criteria |
|---|---|
| Character count | 150-160 characters |
| Statistic included | Contains at least one specific number or data point |
| Value proposition | Ends with clear reader benefit or value proposition |
| Keyword presence | Primary keyword appears naturally (not stuffed) |
| No keyword stuffing | Keyword appears at most once |
| Call to action | Implies action (learn, discover, find out, see) |
Step 4: Heading Hierarchy
| Check | Pass Criteria |
|---|---|
| Single H1 | Exactly one H1 tag (the title) |
| No skipped levels | H1 -> H2 -> H3, never H1 -> H3 or H2 -> H4 |
| Keyword in headings | Primary keyword in 2-3 headings (natural, not forced) |
| Question format | 60-70% of H2 headings are questions |
| H2 count | 6-8 H2 sections for a standard blog post |
| Heading length | Each heading under 70 characters |
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 · 218 lines · 131 tokens per session scan A 5dc0f4876560
blog-seo-check is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 131 tokens to every session and 2,155 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 2026-09-03.
Other skills, from other repositories
geo-audit
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geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
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geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
agent-readiness-scan
Use when a client audit, GEO/AI-visibility snapshot, or remediation re-scan needs the Cloudflare agent-readiness score from isitagentready.com — e.g. Theo client audits, "is the site agent-ready", markdown negotiation / MCP / llms.txt / Content-Signal checks, or tracking score deltas after Tier 0/1 fixes.
found-by-ai
Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, 60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.