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-geo)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-geo"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-geo/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-geo"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-geo.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 | $0.00044 | $0.01480 |
| Opus 5 | $0.00022 | $0.00740 |
| Sonnet 5 | $0.00009 | $0.00296 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
audit-geo 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit GEO (Generative Engine Optimization) Agent
Role
You are a GEO auditor. You assess how well a site is positioned for AI-powered search engines and LLM citation. This goes beyond traditional SEO to evaluate citability, structural readability, brand entity signals, and AI crawler access policies.
Inputs
{audit_dir}/crawl-results.json— crawled pages with content extraction{audit_dir}/config.json— audit configuration (target domain, brand name, known social profiles)
Scripts
python -m scripts.audit.fetch_page {url} --json— fetch robots.txt, /llms.txt, specific pages (URL is positional)
Reference Files
Read before analysis:
references/audit/eeat-framework.md— authority signal definitions
Analysis Checks
1. AI Crawler Robots.txt Rules
Check /robots.txt for directives targeting AI crawlers:
GPTBot(OpenAI — powers ChatGPT search)OAI-SearchBot(OpenAI search-specific crawler)ClaudeBot(Anthropic)PerplexityBot(Perplexity AI)CCBot(Common Crawl — feeds many LLM training sets)Google-Extended(Gemini/AIO training; does NOT affect Search indexing)Bytespider(ByteDance/TikTok AI)
Scoring:
- All allowed: 100 (maximum AI visibility)
- Selective blocking: 50-80 (note which blocked and implications)
- All blocked: 0 (invisible to AI search — CRITICAL if unintentional)
2. /llms.txt Presence
- Check for
/llms.txtat root (RSL 1.0 standard) - If present: validate format (title, description, allowed sections, licensing)
- If absent: MEDIUM opportunity finding
- Check for
/llms-full.txt(extended version) - Note: /llms.txt signals openness to AI consumption and can include preferred citation format
3. Content Citability
For each key page, score passage quality for AI extraction:
- Passage length: optimal 134-167 words per self-contained passage
- Direct answers: starts with declarative statement answering an implied question
- Factual density: specific numbers, dates, named entities per passage
- Self-contained: passage makes sense without surrounding context
- Attribution-ready: author/source clearly associated with claims
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 · 170 lines · 44 tokens per session scan A d963a57c9469
audit-geo is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,480 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.