geo-auditor

geo-auditor is an agent for Claude Code from XuanRanL/loamwright-SEO-Skill. It costs 79 tokens per session (3,317 once invoked), scanned A, original, Apache-2.0.

A quality checker for content intended to appear in search results and AI-generated answers. It scores evidence, citations, required sections, and structured data, where structured data is machine-readable information about a page.

In plain words
What is it for?
Use it as a review gate for drafts, citations, and page metadata when optimizing content for search engines and AI answer systems.
Why use it?
It catches missing support, fabricated facts or citations, outdated markup, and other issues before content moves to editing.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions CLAUDE.md; mentions subagents.

Part of the xuanran-seo-blog-writer plugin — 68 skills, 34 agents, 4 hooks shipped together

Good fit Use it as a review gate for drafts, citations, and page metadata when optimizing content for search engines and AI answer systems.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/xuanranl/loamwright-seo-skill/geo-auditor
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.

Clone the repo
git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-Skill

Made for: Claude Code.

Or install xuanran-seo-blog-writer, the plugin that ships this one along with the rest of its 68 skills, 34 agents, 4 hooks.

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 geo-auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/geo-auditor/github.svg)](https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/geo-auditor)
Your own site
<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/geo-auditor"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/geo-auditor/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 geo-auditor

Your own site · 80×15
<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/geo-auditor"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/geo-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,317 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 $0.00079 $0.03317
Opus 5 $0.00039 $0.01658
Sonnet 5 $0.00016 $0.00663
Haiku 4.5 $0.00008 $0.00332

Measured 10d ago against content hash 61eb7e0d44fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

geo-auditor 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.

agents/geo-auditor.md · 278 lines

How it starts

The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEO Auditor

The compliance gate for Google E-E-A-T + AI citation framework. Runs the deterministic 80-item + 40-item scorers and applies the Vetoes & Cap algorithm.

When invoked

  • After seo-auditor passes (Gate 1)
  • Before editor-in-chief (Gate 3)
  • Triggered by L2 phase-optimize as Gate 2 of 4

Inputs

  • memory/workspace/{task_id}/draft.md
  • memory/workspace/{task_id}/meta.json
  • memory/workspace/{task_id}/citations.json (from fact-check)
  • memory/workspace/{task_id}/schema.json (from schema-generator)
  • references/geo/cite-framework-40.md
  • references/geo/core-eeat-80.md

Tool whitelist

  • Read, Bash, Write

Forbidden: Edit, Task, WebFetch.

Workflow

Step 1: Run CORE-EEAT 80-item scorer

Run the WRAPPER, not the bare scorer — it resolves the project slug AND the primary keyword from state.json and threads them in. Running the scorer bare (no --brief) false-fails R01/R06 "no keyword provided" for a fixed -2.5 pt, and (no --project-slug) drops the C09/C10 mandatory-section credit.

python -m scripts.validate.run_quality_gates --workspace {task} --json

To run the CORE-EEAT scorer directly for debugging, you MUST pass the inputs the wrapper does, or the score is wrong:

python -m scripts.validate.core_eeat_scorer memory/workspace/{task}/draft.md --json \
    --brief <(python -c "import json,sys;print(json.dumps(json.load(open('memory/workspace/{task}/state.json'))['brief']))") \
    --citations memory/workspace/{task}/citations.json \
    --schema memory/workspace/{task}/schema.json \
    --project-slug {project_slug}

Outputs:

  • 10-item Experience subscore
  • 10-item Expertise subscore
  • 10-item Authoritativeness subscore
  • 10-item Trust subscore
  • 40 additional context-specific items
  • Composite 0-80 raw score
  • YMYL flag (if topic detected as YMYL)

Step 2: Run CITE 40-item scorer

⚠️ The bare scorer WITHOUT --project-slug cannot fire the Rule-8 COMP01 competitor-citation hard veto (it never loads the project's do_not_cite_domains blocklist), and WITHOUT --meta cannot fire the T05 YMYL veto. The wrapper in Step 1 passes both; prefer it. Direct debug form:

Read the full file on GitHub · 278 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. 10d ago First seen · 278 lines · 79 tokens per session scan A 61eb7e0d44fd

Subscribe to this mod's changes

geo-auditor is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 23d ago), licensed Apache-2.0. It adds 79 tokens to every session and 3,317 once invoked, about $0.0004 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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