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-auditgit 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-audit)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/blog-audit"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-audit/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-audit"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-audit.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 | $0.00083 | $0.01768 |
| Opus 5 | $0.00042 | $0.00884 |
| Sonnet 5 | $0.00017 | $0.00354 |
| Haiku 4.5 | $0.00008 | $0.00177 |
Grade A, and why
blog-audit 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 — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Audit: Full-Site Health Assessment
Performs a comprehensive blog health assessment across all posts in the project. Scans for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Uses parallel subagents for efficient analysis and produces a prioritized action queue.
Audit Process
Step 1: Discover Blog Files
Scan the project for all blog content files:
- Glob for
*.md,*.mdx,*.htmlin common blog directories - Common paths to check:
content/posts/blog/src/content/_posts/pages/blog/articles/src/pages/blog/
- Filter out non-blog files: README, CHANGELOG, LICENSE, config files, SKILL.md, package.json, node_modules
- Report: "Found N blog files in [directories]"
If no blog files are found in standard locations, search the entire project root for markdown files with blog-like frontmatter (title, date, description).
Step 2: Parallel Analysis
Spawn subagents via the Task tool for parallel processing across all discovered blog files:
Content Quality Agent
- Score each post on the 30-point content quality scale
- Check paragraph length (target 40-80 words, hard limit 150)
- Check sentence length (target 15-20 words)
- Evaluate heading structure and question-format headings
- Assess readability (Flesch Reading Ease 60-70 target)
SEO Optimization Agent
- Check on-page SEO elements per post:
- Title tag length (50-60 chars)
- Meta description (150-160 chars, includes statistic)
- H1 presence and uniqueness
- Image alt text coverage
- Internal and external link counts
- URL slug quality
Schema Validation Agent
- Detect structured data across all posts
- Validate BlogPosting schema completeness
- Check FAQ schema presence and format
- Verify dateModified matches lastUpdated frontmatter
- Flag missing or malformed schema
Link Health Agent
- Map internal links across all posts
- Build a directed link graph
- Detect orphan pages (zero inbound internal links)
- Detect dead-end pages (zero outbound internal links)
- Check for broken internal link targets
- Recommend bidirectional link opportunities
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 · 214 lines · 83 tokens per session scan A 47cdf2f0ea11
blog-audit is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 1,768 once invoked, about $0.0004 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
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
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
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
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.