audit

audit is a skill for Claude Code from Hainrixz/claude-seo-ai. It costs 127 tokens per session (913 once invoked), scanned A, original, MIT.

A read-only audit for a website or web codebase that evaluates search-engine optimisation and visibility in AI-generated search answers. It produces separate scores and an evidence-based report.

In plain words
What is it for?
Use it to inspect a URL or local web project, review search and AI-visibility scores, examine category findings and evidence, and get a prioritised list of possible fixes.
Why use it?
It identifies missing or weak metadata, structured data, and other discoverability issues without changing the site.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Part of the claude-seo-ai plugin — 34 skills, 5 agents, 1 hook shipped together

Good fit Use it to inspect a URL or local web project, review search and AI-visibility scores, examine category findings and evidence, and get a prioritised list of possible fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hainrixz/claude-seo-ai/audit
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 Hainrixz/claude-seo-ai --skill audit
Clone the repo
git clone --depth 1 https://github.com/Hainrixz/claude-seo-ai

Made for: Claude Code.

Or install claude-seo-ai, the plugin that ships this one along with the rest of its 34 skills, 5 agents, 1 hook.

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 audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/audit/github.svg)](https://agentmods.dev/skills/hainrixz/claude-seo-ai/audit)
Your own site
<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/audit"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/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 audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/audit"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 913 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 $0.00127 $0.00913
Opus 5 $0.00063 $0.00456
Sonnet 5 $0.00025 $0.00183
Haiku 4.5 $0.00013 $0.00091

Measured 4d ago against content hash 08b0730b5916, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

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 4d 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.

skills/audit/SKILL.md · 26 lines

How it starts

The opening of the file, as written. The whole thing — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/claude-seo-ai:audit

A full, read-only SEO + AI-search audit. Never writes to the user's project; artifacts go to ${CLAUDE_PLUGIN_DATA}/runs (or --out).

$ARGUMENTS = <url|path> [flags]. The target is a URL (https://…) or a local web project / built HTML. If no target is given, ask for one. Flags are forwarded verbatim to the orchestrator, which passes them to audit.mjs: --pages N (pages to sample, default 12) · --max N (URLs to consider, default 40) · --render static|auto|js (default static — a headless run never launches a browser unless asked) · --ua default|googlebot|bingbot|gptbot|oai-searchbot|claude-searchbot (or a literal UA string) · --vertical <ids> (comma list of saas,blog-publisher,local-business,ecommerce,docs,generic; omit it to let the run infer one) · --environment production|preview|staging|local · --feed <path> (a product feed for the ACP lint) · --out <dir> (runs root; defaults to ${CLAUDE_PLUGIN_DATA}/runs).

What to do

  1. Invoke the seo-orchestrator skill with the target and all flags. It runs audit.mjs once — acquisition (crawl/snapshot → PageSnapshot v2), platform profile, vertical guess and the whole deterministic checks registry in a single call — refines the vertical with seo-vertical-detect (references/routing.md), dispatches the read-only specialist subagents in parallel with a dispatch envelope, then merges everything back with report.mjs --merge and scores.
  2. Present, from report.json:
    • The two scores — Search SEO and AI Visibility — each with a band (A–F) and a one-line interpretation. Never blended.
    • A per-category breakdown for each score; coverage mode (full vs deterministic-only), the data tier reached, and the needs_api / manual_review counts (score confidence).
    • The sampling table: pages crawled by role, templates discovered vs sampled, and every skip with its reason.
    • The platform profile (platform/framework/plugins, environment — e.g. "noindex expected on preview").
    • A prioritized action list sorted by impact ÷ effort: status, evidence, recommendation, fixability (auto/proposed/advisory), expected_impact (axis + confidence + magnitude).
    • The absolute report path (<run_dir>/report.md).
  3. End by offering: "Run /claude-seo-ai:fix <target> to apply the safe, deterministic fixes — you'll confirm each change" and "/claude-seo-ai:compare --baseline latest --against <target> after you deploy".

Read the full file on GitHub · 26 lines

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. 4d ago Changed 08b0730b5916
  2. 6d ago Changed · +3 lines · +5 tokens per session f7f28e21c5dd
  3. 12d ago First seen · 23 lines · 122 tokens per session scan A e4bd4eca4c3f

Subscribe to this mod's changes

audit is a skill published in the GitHub repository Hainrixz/claude-seo-ai (59 stars, last pushed 5d ago), licensed MIT. It adds 127 tokens to every session and 913 once invoked, about $0.0006 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.

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