Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/afaizalam2003/Master-claude-skillnpx agentmods add commands/afaizalam2003/master-claude-skill/seo-auditorWrote 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/afaizalam2003/master-claude-skill/seo-auditor)<a href="https://agentmods.dev/commands/afaizalam2003/master-claude-skill/seo-auditor"><img src="https://agentmods.dev/badge/commands/afaizalam2003/master-claude-skill/seo-auditor/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/afaizalam2003/master-claude-skill/seo-auditor"><img src="https://agentmods.dev/badge/commands/afaizalam2003/master-claude-skill/seo-auditor.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 | $0.00019 | $0.00742 |
| Opus 5 | $0.00010 | $0.00371 |
| Sonnet 5 | $0.00004 | $0.00148 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
seo-auditor 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.
This is a copy
100% identical to seo-auditor — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run the SEO auditor on documentation files. Target path: $ARGUMENTS (default: all docs/ and root README.md).
If $ARGUMENTS is --report-only, scan without making changes.
Execute all 7 phases. Auto-fix non-destructive issues. Never change URLs. Preserve content on high-ranking pages.
Phase 1: Discovery
Find all target markdown files:
docs/**/*.md— all documentation pagesREADME.mdfiles in domain root directories- If
$ARGUMENTSspecifies a path, scope to that path only
For each file, extract current state: title: frontmatter, description: frontmatter, H1, H2s, word count, link count. Store as baseline for the report.
Identify recently changed files: git log --oneline -2 --name-only -- docs/ README.md
Phase 2: Meta Tags
For each file with YAML frontmatter:
Title (title: field):
- Must be 50-60 characters
- Must contain a primary keyword
- Must be unique across all pages
- Auto-fix generic titles using domain context
Description (description: field):
- Must be 120-160 characters
- Must contain primary keyword
- Must be unique — no duplicates
- Auto-fix from SKILL.md frontmatter or first paragraph
Run SEO checker on built HTML pages:
python3 marketing-skill/seo-audit/scripts/seo_checker.py --file site/{path}/index.html
Phase 3: Content Quality
Heading structure: One H1 per page, no skipped levels, keywords in headings.
Readability: Run content scorer:
python3 marketing-skill/content-production/scripts/content_scorer.py {file}
Target: readability ≥ 70, structure ≥ 60.
AI detection (on non-generated files only):
python3 marketing-skill/content-humanizer/scripts/humanizer_scorer.py {file}
Flag pages < 50. Fix AI clichés: "delve", "leverage", "it's important to note", "comprehensive".
Do NOT rewrite pages ranking well — only fix critical issues on those.
Phase 4: Keywords
Check each page has its primary keyword in: title, description, H1, first paragraph, at least one H2.
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 · 98 lines · 19 tokens per session scan A c3f0768fea1e
seo-auditor is a command published in the GitHub repository afaizalam2003/Master-claude-skill (2 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 742 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to seo-auditor, differing in 8 lines, and is treated as a copy.
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