An audit skill for checking the public information layers that AI assistants and automated agents can read, including Markdown pages, llms.txt, crawler rules, and an MCP server. An MCP server is a service that gives AI tools structured access to information or actions.

Use it after changing public routes, crawler rules, Markdown rendering, or the MCP server, and before checking whether a site is visible to AI tools.

It helps reveal when a website looks correct to people but its AI-readable routes or instructions are missing or outdated.

How lamont703/Project_InnerG_Complete_Agency configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to lamont703/Project_InnerG_Complete_Agency. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/lamont703/Project_InnerG_Complete_Agency/main/.claude/skills/geo-audit/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/lamont703/Project_InnerG_Complete_Agency

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/lamont703/project_innerg_complete_agency/geo-audit/github.svg)](https://agentmods.dev/skills/lamont703/project_innerg_complete_agency/geo-audit)

Your own site

<a href="https://agentmods.dev/skills/lamont703/project_innerg_complete_agency/geo-audit"><img src="https://agentmods.dev/badge/skills/lamont703/project_innerg_complete_agency/geo-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/lamont703/project_innerg_complete_agency/geo-audit"><img src="https://agentmods.dev/badge/skills/lamont703/project_innerg_complete_agency/geo-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,613 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown 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.

Model	Per session	Once invoked
Fable 5.1	$0.00066	$0.01613
Opus 5.5	$0.00026	$0.00645
Sonnet 5.5	$0.00013	$0.00323
Haiku 4.5	$0.00007	$0.00161

Measured 2mo ago against content hash 1df6f26f67ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

geo-audit scanned grade A with 1 finding 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.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s https://shearquery.com/sitemap.xml | grep -o '<loc>[^<]*</loc>' \

.claude/skills/geo-audit/SKILL.md · 141 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

2mo ago First seen · 141 lines · 66 tokens per session scan A 1df6f26f67ad

Subscribe to this mod's changes

geo-audit is a skill published in the GitHub repository lamont703/Project_InnerG_Complete_Agency (0 stars, last pushed 1mo ago), with no licence file. It adds 66 tokens to every session and 1,613 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Marketing and SEO

geo-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
geo-auditlamont703/Project_InnerG_Complete_Agency	Skill	0	1mo ago	none	A	66	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

Project_InnerG_Complete_Agency: Skill for Claude Code

Borrowing it

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Makes network callslowCapability

The source is not reproduced here

No licence file

What this file has done since we first saw it

geo-audit compared with skills from other repositories