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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill seo-auditgit clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-audit)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-audit"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-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/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-audit"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/seo-audit.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 | $0.00064 | $0.01454 |
| Opus 5.5 | $0.00026 | $0.00582 |
| Sonnet 5.5 | $0.00013 | $0.00291 |
| Haiku 4.5 | $0.00006 | $0.00145 |
Grade A, and why
seo-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 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.
This is a copy
89% identical to seo-audit — 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Website SEO Audit
Process
- Fetch homepage: use
scripts/fetch_page.pyto retrieve HTML - Detect business type: analyze homepage signals per seo orchestrator
- Crawl site: follow internal links up to 500 pages, respect robots.txt
- Delegate to subagents (if available, otherwise run inline sequentially):
seo-technical-- robots.txt, sitemaps, canonicals, Core Web Vitals, security headersseo-content-- E-E-A-T, readability, thin content, AI citation readinessseo-schema-- detection, validation, generation recommendationsseo-sitemap-- structure analysis, quality gates, missing pagesseo-performance-- LCP, INP, CLS measurementsseo-visual-- screenshots, mobile testing, above-fold analysisseo-geo-- AI crawler access, llms.txt, citability, brand mention signalsseo-local-- GBP signals, NAP consistency, reviews, local schema, industry-specific local factors (spawn when Local Service industry detected: brick-and-mortar, SAB, or hybrid business type)seo-maps-- Geo-grid rank tracking, GBP audit, review intelligence, competitor radius mapping (spawn when Local Service detected AND DataForSEO MCP available)seo-google-- CWV field data (CrUX), URL indexation (GSC), organic traffic (GA4) (spawn when Google API credentials detected viapython scripts/google_auth.py --check)seo-backlinks-- Backlink profile data: DA/PA, referring domains, anchor text, toxic links (spawn when Moz or Bing API credentials detected viapython scripts/backlinks_auth.py --check, or always include Common Crawl domain-level metrics)seo-cluster-- Semantic clustering analysis (spawn when content strategy signals detected: blog, pillar pages, topic clusters)seo-sxo-- Search experience analysis: page-type mismatch, user stories, persona scoring (always include in full audits)seo-drift-- Drift analysis: compare against stored baseline (spawn when drift baseline exists for the URL viapython scripts/drift_history.py <url>)seo-ecommerce-- Product schema, marketplace intelligence (spawn when E-commerce industry detected)
- Score -- aggregate into SEO Health Score (0-100)
- Report -- generate prioritized action plan
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 · 138 lines · 64 tokens per session scan A c415c52cbc2f
seo-audit is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 24d ago), licensed MIT. It adds 64 tokens to every session and 1,454 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to seo-audit, differing in 8 lines, and is treated as a copy.
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