audit

audit is a skill for Claude Code, Codex from ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool. It costs 21 tokens per session (440 once invoked), scanned A, original, MIT.

A website-audit workflow that reads checks for a page or site and turns failed checks into proposed text, markup, or settings changes. A site audit is a review of technical and content issues on a website.

In plain words
What is it for?
Checking whether AI crawlers can reach pages, improving direct answers and structured data, and preparing fixes for titles, descriptions, and other issues.
Why use it?
It converts audit findings into specific fixes instead of leaving you with a list of problems to interpret.

Skill for Claude CodeCodex

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

Good fit Checking whether AI crawlers can reach pages, improving direct answers and structured data, and preparing fixes for titles, descriptions, and other issues.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/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 ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool --skill audit
Clone the repo
git clone --depth 1 https://github.com/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool

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 audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/audit/github.svg)](https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/audit)
Your own site
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/audit"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/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/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/audit"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 440 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.
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 $0.00021 $0.00440
Opus 5.5 $0.00008 $0.00176
Sonnet 5.5 $0.00004 $0.00088
Haiku 4.5 $0.00002 $0.00044

Measured yesterday against content hash 158ffb692f1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • audit — 100% identical, 0 lines differ
skills/audit/SKILL.md · 48 lines

What it actually says

Improve with audit

The playbook of the /audit shortcut ("Run an audit on …"): a page's Site Audit issues, turned into fixes ready to apply.

Data plan

Read only these, for the page or site the person names:

  1. get_site_audit_summary: the brand's recent audits, to find the page's latest.
  2. list_site_audit_issues: that audit's checks, passed and failed.
  3. fetch_page for the page, to write fixes against what is on it now.

Use list_brands only when no brand is selected, and open_page to link Site Audit.

Questions

  • None about the audit itself. Reading an existing result uses nothing.

Steps

  1. When the page has an audit from the last 30 days, use it. Otherwise start one with run_site_audit on that one page; the app shows the person what it uses of the month's audits first.
  2. Audit the whole site only when the person says so; that card shows its cost too.
  3. Order the failed checks by what matters for AI answers: whether AI crawlers can reach the page, then direct answers, structured data, titles and descriptions, then the rest.
  4. For each: why it matters, and the fix, ready to apply: the corrected markup, text or setting as code.

Output

A table of the issues (Issue, Why it matters for AI, Fix, Effort), then the fixes as code.

Next moves

Two or three, such as "Send fixes to Action Center" or checking again after the fix.

Don't

  • Never change the site or publish: the fixes are the person's to apply.
  • Don't fix what the audit didn't find without saying so.
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. yesterday First seen · 48 lines · 21 tokens per session scan A 158ffb692f1d

Subscribe to this mod's changes

audit is a skill published in the GitHub repository ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool (449 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 440 once invoked, about $0.0001 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 2026-11-05.

Related

audit compared with skills from other repositories

audit next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
auditai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolSkill449yesterdayMITA21Claude Code, Codex
geo-platform-optimizerasale-ai/seo-geo-skillSkill62mo agononeA34Claude Code
ansvisor-aeo-coach-standaloneansvisor/ansvisorSkill232yesterdayMITA148Claude Code, Codex
geo-loopmverab/eGEOagentsSkill217yesterdayMITA62Claude Code
content-scoringmverab/eGEOagentsSkill217yesterdayMITA34Claude Code
competitive-analysismverab/eGEOagentsSkill217yesterdayMITA29Claude Code
schema-generatormverab/eGEOagentsSkill217yesterdayMITA35Claude Code