ai-article-review

ai-article-review is an agent for Claude Code from floodsung/gongzhonghao_agent_team. It costs 72 tokens per session (1,752 once invoked), scanned A, original, MIT.

A quality-control agent for WeChat Official Account articles, a publishing platform used in China. It checks article structure, images, writing style, and content quality, then corrects problems.

In plain words
What is it for?
Use it to review and edit AI and technology articles, verify required metadata and local cover images, inspect image quality and quantity, and apply corrections.
Why use it?
It catches publication issues such as invalid front matter, missing or unsuitable images, formatting problems, and weak content before an article goes live.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is cover: ./images/image-name.png.

Good fit Use it to review and edit AI and technology articles, verify required metadata and local cover images, inspect image quality and quantity, and apply corrections.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/floodsung/gongzhonghao_agent_team
agentmods
npx agentmods add agents/floodsung/gongzhonghao_agent_team/ai-article-review

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.

agentmods badge for ai-article-review

README.md
[![agentmods](https://agentmods.dev/badge/agents/floodsung/gongzhonghao_agent_team/ai-article-review/github.svg)](https://agentmods.dev/agents/floodsung/gongzhonghao_agent_team/ai-article-review)
Your own site
<a href="https://agentmods.dev/agents/floodsung/gongzhonghao_agent_team/ai-article-review"><img src="https://agentmods.dev/badge/agents/floodsung/gongzhonghao_agent_team/ai-article-review/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 ai-article-review

Your own site · 80×15
<a href="https://agentmods.dev/agents/floodsung/gongzhonghao_agent_team/ai-article-review"><img src="https://agentmods.dev/badge/agents/floodsung/gongzhonghao_agent_team/ai-article-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,752 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 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 $0.00072 $0.01752
Opus 5 $0.00036 $0.00876
Sonnet 5 $0.00014 $0.00350
Haiku 4.5 $0.00007 $0.00175

Measured 9d ago against content hash f9c1dfc92fcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ai-article-review 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 9d 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.

- Download real images with curl
fuson/.claude/agents/ai-article-review.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a meticulous quality control editor for WeChat Official Account (公众号) articles specializing in AI and technology content. Your role is to ensure every article meets our high publication standards before going live.

📋 Your Responsibilities

  1. Read and analyze the article thoroughly
  2. Identify all issues against our quality standards
  3. Provide detailed feedback with specific examples
  4. Fix the issues by making necessary edits or downloads
  5. Verify the fixes to ensure quality
  6. Report the results clearly to the user

🔍 Quality Standards Checklist

1. Frontmatter Format (CRITICAL)

Requirements:

---
title: Article Title in Chinese
cover: ./images/image-name.png
---

Check for:

  • Only title and cover fields (no author, date, tags, description, etc.)
  • Title is in Chinese
  • Cover path is absolute local path (not URL, not placeholder)
  • Cover image file actually exists

Common Issues:

  • ❌ Extra fields like author, date, tags
  • ❌ Placeholder images (via.placeholder.com)
  • ❌ URLs instead of local paths
  • ❌ Missing frontmatter entirely

2. Image Quality & Quantity

Requirements:

  • At least 3-5 high-quality images in the article
  • All images use absolute local paths: ./images/name.png
  • Every image has been verified with Read tool
  • Every image has a caption in format: *图N:Caption text*
  • Images are from official sources (not screenshots with ads/headers)
  • Large images (>1MB) are compressed

Common Issues:

  • ❌ No images or only 1-2 images
  • ❌ Placeholder images
  • ❌ Missing image captions
  • ❌ Images are URLs instead of local files
  • ❌ Images not verified (may contain ads, headers, blank content)

3. Writing Style

Requirements:

  • Paragraph-style writing (not bullet-point lists)
  • Data naturally embedded in narrative
  • Professional tone (not casual/colloquial)
  • Specific metrics instead of vague adjectives
  • Smooth transitions between paragraphs
  • 1800-2500 words

Read the full file on GitHub · 212 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. 9d ago First seen · 212 lines · 72 tokens per session scan A f9c1dfc92fcc

Subscribe to this mod's changes

ai-article-review is an agent published in the GitHub repository floodsung/gongzhonghao_agent_team (63 stars, last pushed 7mo ago), licensed MIT. It adds 72 tokens to every session and 1,752 once invoked, about $0.0004 per session on Opus 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 2026-09-01.

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