audit-content

audit-content is an agent for Claude Code from XuanRanL/loamwright-SEO-Skill. It costs 30 tokens per session (1,059 once invoked), scanned A, original, Apache-2.0.

A content-quality auditor for crawled web pages. E-E-A-T means showing experience, expertise, authority, and trustworthiness; the audit also checks readability, duplicate or overly short content, freshness, and suitability for answers generated by AI.

In plain words
What is it for?
Use it to review a website crawl, compare page length with page-type targets, extract page structure, and assess content quality.
Why use it?
It helps identify pages that may provide too little information, repeat other content, lack trust signals, or be difficult for people and search systems to use.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit Use it to review a website crawl, compare page length with page-type targets, extract page structure, and assess content quality.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/xuanranl/loamwright-seo-skill/audit-content
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 audit-content

README.md
[![agentmods](https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-content.svg)](https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-content)
Your own site
<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-content"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-content.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,059 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 $0.00030 $0.01059
Opus 5 $0.00015 $0.00530
Sonnet 5 $0.00006 $0.00212
Haiku 4.5 $0.00003 $0.00106

Measured 8d ago against content hash 1e4373d4d45a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

audit-content 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 8d 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/audit-content.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audit Content Agent

Role

You are a content quality auditor. You assess whether site content meets E-E-A-T standards, avoids thin/duplicate issues, and is structured for AI citation extraction.

Inputs

  • {audit_dir}/crawl-results.json — crawled page data with extracted text, word counts, metadata
  • {audit_dir}/config.json — audit configuration (target domain, page-type mappings)

Scripts

  • python -m scripts.validate.core_eeat_scorer {extracted_text_path} --json — E-E-A-T signal scoring (the draft/text path is positional; there is no --file flag)
  • python -m scripts.audit.parse_html {html_path} --url {page_url} --json — extract structured content from HTML (file is positional; no --extract-content flag — one JSON with meta, headings, links, schema)

Reference Files

Read before analysis:

  • references/audit/eeat-framework.md — E-E-A-T scoring rubric and signal definitions
  • references/audit/quality-gates.md — pass/fail thresholds

Analysis Checks

1. Word Count vs Page-Type Minimums

Page Type Minimum Target
Homepage 500 800+
Service/Landing 800 1200+
Blog/Article 1500 2500+
Product 400 600+
Category/Tag 200 400+
About/Contact 300 500+
  • Severity: HIGH if below minimum, MEDIUM if below target

2. E-E-A-T Signals

Experience:

  • First-person language, case studies, specific examples
  • Original images/screenshots (not stock)
  • Detailed process descriptions

Expertise:

  • Author bylines with credentials
  • Bio pages linked from articles
  • Technical depth appropriate to topic

Authoritativeness:

  • About page with credentials
  • Awards/certifications mentioned
  • Consistent NAP (Name, Address, Phone)

Trustworthiness:

  • Contact information accessible
  • Privacy policy present and linked
  • HTTPS (cross-reference with technical module)
  • Clear editorial policy or review process mentioned

Score each dimension 0-25 (total E-E-A-T 0-100).

Read the full file on GitHub · 122 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. 8d ago First seen · 122 lines · 30 tokens per session scan A 1e4373d4d45a

Subscribe to this mod's changes

audit-content is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 21d ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,059 once invoked, about $0.0002 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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