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 lijinnair/claude-code-skillforge --skill auditing-seogit clone --depth 1 https://github.com/lijinnair/claude-code-skillforgeWrote 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/lijinnair/claude-code-skillforge/auditing-seo)<a href="https://agentmods.dev/skills/lijinnair/claude-code-skillforge/auditing-seo"><img src="https://agentmods.dev/badge/skills/lijinnair/claude-code-skillforge/auditing-seo.svg" alt="Measured on agentmods" 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 | $0.00064 | $0.00392 |
| Opus 5 | $0.00032 | $0.00196 |
| Sonnet 5 | $0.00013 | $0.00078 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
auditing-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 6d 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.
What it actually says
SEO Page Auditing SOP
Execution Steps
Step 1: Fetch Page Content
Use read_url_content to fetch and read the raw content of $ARGUMENTS (the URL provided by the user).
Step 2: Analyze On-Page SEO Elements
Check and score each of the following elements:
- Title Tag: Present? Under 60 characters? Contains primary keyword?
- Meta Description: Present? Under 160 characters? Has a call-to-action?
- H1: Exactly one H1 present? Does it match the topic of the title?
- Heading Hierarchy: Is H2 > H3 structure logical and sequential?
- Image Alt Text: Do all
<img>tags have descriptive alt attributes? - Internal Links: Are there at least 2 internal links present?
Step 3: Compile Prioritized Fix List
Organize the findings into 3 tiers:
- Critical: Issues that directly harm rankings (e.g., missing title, no H1).
- Important: Issues that limit performance (e.g., meta description too long).
- Suggestions: Nice-to-have improvements.
Step 4: Validate Completeness
Review the audit against the elements in Step 2. If any element was skipped or could not be assessed, note it explicitly. Re-check that every Critical item has a specific, actionable fix.
Step 5: Deliver the Report
Output the full audit as a formatted Markdown table with: Element | Status | Current Value | Recommended Fix.
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.
- 6d ago First seen · 34 lines · 64 tokens per session scan A 108bff463104
auditing-seo is a skill published in the GitHub repository lijinnair/claude-code-skillforge (1 stars, last pushed 6mo ago), licensed MIT. It adds 64 tokens to every session and 392 once invoked, about $0.0003 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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