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yao-geo-page-audit

yao-geo-page-audit is a skill for Claude Code, Codex from yaojingang/yao-geo-skills. It costs 41 tokens per session (1,001 once invoked), scanned A, original, MIT.

A GEO readiness review for a website page or a small group of pages. It checks whether public content can be discovered, extracted, understood, supported by evidence, and cited in AI-generated answers.

In plain words
What is it for?
It helps assess a homepage and representative pages, improve their structure and evidence, and produce a Chinese report with fixes for developers and content teams. It does not estimate AI rankings or recall without supplied platform samples.
Why use it?
A page can look correct to visitors but still be hard for search-driven AI systems to parse or trust. The review turns those problems into specific content, HTML, schema, and development recommendations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 910repo +15 29d ago A scan SkillSpector: pass 41 tokens original MIT

Good fit It helps assess a homepage and representative pages, improve their structure and evidence, and produce a Chinese report with fixes for developers and content teams. It does not estimate AI rankings or recall without supplied platform samples.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yaojingang/yao-geo-skills/yao-geo-page-audit
View source ↗ yaojingang/yao-geo-skills yaojingang.github.io
Install

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.

Any agent
npx skills add yaojingang/yao-geo-skills --skill yao-geo-page-audit
Clone the repo
git clone --depth 1 https://github.com/yaojingang/yao-geo-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for yao-geo-page-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-page-audit/github.svg)](https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-page-audit)
Your own site
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-page-audit"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-page-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.

agentmods 80×15 button for yao-geo-page-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/yaojingang/yao-geo-skills/yao-geo-page-audit"><img src="https://agentmods.dev/badge/skills/yaojingang/yao-geo-skills/yao-geo-page-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,001 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.01001
Opus 5.5 $0.00016 $0.00400
Sonnet 5.5 $0.00008 $0.00200
Haiku 4.5 $0.00004 $0.00100

Measured 2mo ago against content hash a8308fc3b954, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

yao-geo-page-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 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/polish_docx.py, scripts/review_report_layout.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/yao-geo-page-audit/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

yao-geo-page-audit

Use this skill when the user wants a GEO Page Audit, website/page GEO diagnosis, page technical audit, AI extractability audit, schema/HTML module advice, or code/content repair list for a URL.

Job

Given a target URL or website, diagnose the homepage, a representative first-level page, and a representative second-level page when possible. Output development-ready and content-ready recommendations that improve how public pages can be discovered, parsed, cited, and summarized by search-driven AI systems. By default, analyze public page readiness and public evidence coverage only; do not estimate AI-platform recall, rankings, citation share, or internal platform behavior unless the user provides platform sampling data.

Workflow

  1. Read references/research-foundation.md, references/authority-reference-model.md, and references/report-module-taxonomy.md. Frame the audit as a five-stage chain: discovery, retrieval candidate, main-content extraction, evidence quality, generated citation.
  2. Identify page type and sample scope. If the input is a homepage, select homepage, one representative first-level page, and one representative second-level page. State the selection basis and unresolved input gaps.
  3. Build an evidence ledger. Prefer official pages, official docs, schema/source code, standards, and peer-reviewed or arXiv research before third-party commentary. Mark each finding as observed, official, standard, research, inferred, or input gap.
  4. Check crawlability and renderability: status code, robots, sitemap, canonical, meta robots, mobile-first parity, JavaScript dependency, and whether primary content appears in initial HTML.
  5. Check structural quality: H1-H3, main/article, summary, table of contents, FAQ, tables, lists, breadcrumbs, internal links, anchor text, accessibility headings, and schema.
  6. Check content evidence: conclusions first, full entity names, data, citations, cases, dates, author/source, freshness, objectivity, price, service boundaries, regional constraints, and source accountability.
  7. Check AI extractability and public-answer material coverage: key-value facts, atomic facts, comparison tables, steps, Q&A, context-independent summary, paragraph independence, entity graph, sameAs links, and chunk-level citation readiness. Convert domestic platform concerns into high-intent question material gaps, not platform recall claims.
  8. Produce code-layer fixes, content-layer fixes, page-module suggestions, schema/HTML snippets, priority, owner, acceptance test, risk, and estimated cost.
  9. Deliver Word, PDF, sticky-menu HTML, and Markdown from one Markdown content source. Use the kami editorial report style in references/report-formatting-spec.md and references/output-layout-policy.md.
  10. After DOCX generation, run scripts/polish_docx.py to apply Kami-style Word typography, margins, and table formatting.
  11. Run scripts/review_report_layout.py and references/quality-gates.md before claiming completion.

Read the full file on GitHub · 60 lines

Files

What ships with it

30 files 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.

Changes

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.

  1. 2mo ago First seen · 60 lines · 41 tokens per session scan A a8308fc3b954

Subscribe to this mod's changes

yao-geo-page-audit is a skill published in the GitHub repository yaojingang/yao-geo-skills (910 stars, last pushed 29d ago), licensed MIT. It adds 41 tokens to every session and 1,001 once invoked, about $0.0002 per session on Opus 5.5. 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.

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