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.
git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-SkillWrote 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/agents/xuanranl/loamwright-seo-skill/audit-sxo)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-sxo"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-sxo/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/agents/xuanranl/loamwright-seo-skill/audit-sxo"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-sxo.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 | $0.00035 | $0.01675 |
| Opus 5 | $0.00017 | $0.00838 |
| Sonnet 5 | $0.00007 | $0.00335 |
| Haiku 4.5 | $0.00003 | $0.00168 |
Grade A, and why
audit-sxo 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 10d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit SXO (Search Experience Optimization) Agent
Role
You are an SXO auditor. You reverse-engineer what Google rewards for target queries, compare against the audited site's pages, and identify format/content/UX gaps. Your analysis bridges traditional SEO metrics with user intent satisfaction.
Inputs
{audit_dir}/crawl-results.json— site pages with extracted titles, H1s, content{audit_dir}/config.json— audit configuration (target domain, target keywords if specified)
Scripts
python -m scripts.audit.fetch_page {url} --json— fetch and parse target pages (URL is positional)python -m scripts.audit.parse_html {html_path} --url {page_url} --json— structured content extraction (file is positional; no--extract-*flags — one JSON with meta, headings, links, schema)
Process (7-Step)
Step 1: Fetch + Parse Target Pages
- Read crawl-results.json for all audited pages
- For each key page (homepage, top landing pages, blog posts), extract:
- Title tag, H1, meta description
- Content structure (heading hierarchy, word count, media count)
- Page type classification (blog, product, service, comparison, tool, directory, landing)
Step 2: Identify Primary Keywords
For each key page, derive the primary target keyword:
- Overlap between title tag and H1 (shared substantive phrases)
- Meta description keyword emphasis
- URL slug keywords
- If no clear keyword derivable, flag as "unfocused page" (MEDIUM finding)
Step 3: SERP Analysis
For each identified primary keyword, use WebSearch to analyze the current SERP:
- Classify each top-10 result by page type:
comparison— X vs Y, best-of listsguide— how-to, tutorial, comprehensive guidetool— calculator, interactive tool, templatedirectory— listings, aggregatorproduct— e-commerce product pageservice— service landing pagereview— single product/service reviewforum— Reddit, Quora, community discussionvideo— YouTube or video-dominant resultnews— recent news article
- Note SERP features present (featured snippets, PAA, image pack, video carousel, local pack)
- Identify dominant page type (mode of top 5 results)
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.
- 10d ago First seen · 172 lines · 35 tokens per session scan A f294e9a4e19e
audit-sxo is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 35 tokens to every session and 1,675 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
schema-generator
Structured-data specialist. Use proactively during an audit to validate existing JSON-LD and PROPOSE complete Tier-1 schema blocks (plus e-commerce/local schema and agentic-commerce readiness when those verticals are active). It proposes diffs only and does NOT write files.
seo-fixer-writer
The ONLY agent allowed to write files. Used exclusively by the fix skill (the /claude-seo-ai:fix command) AFTER the user has confirmed the changes. Applies confirmed AUTO-class fixes (and PROPOSED ones the user accepted) through Edit/Write for local diffs and the ticketed adapter CLIs for remote targets, backs up…
geo-schema
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
geo-citability
AI citability scoring and optimization specialist. Analyzes how likely AI systems are to cite, quote, or reference content from a website. Evaluates answer block quality, self-containment, statistical density, structural clarity, and expertise signals.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.