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BF wechat-mp-reader

抓取微信公众号文章并转换为 Markdown 格式。支持提取标题、作者、发布时间、封面图、正文内容（含图片、视频链接）。 当用户提到以下场景时触发： - 读取/抓取/下载微信公众号文章 - 将公众号文章转为 Markdown - 提取 mp.weixin.qq.com 链接内容 - 保存公众号文章到本地 - 微信文章备份、存档 关键词：微信公众号、公众号文章、mp.weixin.qq.com、微信文章抓取、微信文章转 Markdown

ClawHub Agent Skills author: fzx v1.0.0 MIT-0 3 files body ≈ 449 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: 封面图链接, 图片链接, 视频链接

ReferenceInfrastructuretype 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
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: 封面图链接, 图片链接, 视频链接
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • 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: 3. 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")
  • warning missing-ref reference to a missing file: 封面图链接
  • warning missing-ref reference to a missing file: 图片链接
  • warning missing-ref reference to a missing file: 视频链接

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: 封面图链接, 图片链接, 视频链接
  • 0Tools and files. 3 referenced file(s) missing: 封面图链接, 图片链接, 视频链接
  • 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-mp-reader) differs from the folder (wechat-mp-reader-fzx)
  • 100Steps. 20 steps
  • 100Execution cost. Instruction body is 449 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 219: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill does what it advertises: it fetches a user-provided WeChat article and saves a Markdown copy locally, with no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026