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CD wechat-article-fetcher

微信公众号文章抓取工具。当用户发送微信文章链接、需要保存公众号文章、 想要离线阅读微信文章、提取微信文章内容、下载微信文章图片时自动触发。 支持 mp.weixin.qq.com 域名的所有文章链接。

ClawHub Agent Skills author: aga-j v1.0.0 MIT-0 7 files · 2 scripts body ≈ 400 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

微信公众号文章抓取工具。当用户发送微信文章链接、需要保存公众号文章、 想要离线阅读微信文章、提取微信文章内容、下载微信文章图片时自动触发。 支持 mp.weixin.qq.com 域名的所有文章链接。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (wechat-article-fetcher) differs from the folder (aga-wechat-article-fetcher)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 23 steps
  • 100Execution cost. Instruction body is 400 tokens
  • 100Running it twice. No mutating operations
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 100: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill has a coherent WeChat article-saving purpose, but it automatically starts a background web server that can expose the whole OpenClaw workspace and serves unsanitized remote content.
LLM: suspicious (high) · VirusTotal: · 14 Sept 2026