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AF wechat-mp-reader

Fetch WeChat Official Account articles from either a public account name or a WeChat article URL. Use when the user wants to extract full article content, identify the account behind an article, list recent or historical articles for an account, or build article archives from WeChat public accounts. Prioritize article-URL-based resolution first, then account-name search, with graceful fallback when search is unreliable.

ClawHub Agent Skills author: nasplycc v0.1.1 MIT-0 11 files body ≈ 1 205 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 47/100 · Will not run — References files that are not bundled: scripts/cache/wechat-login-qr-real.png

GeneratorWriting 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
A
93/100
safety, quality, tests
Safety 60%
98
Quality 40%
85
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: scripts/cache/wechat-login-qr-real.png
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. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Obfuscation obf-base64-blob scripts/cache/account_cache.json:7
    Long base64-looking blob (quoted — discussed, not commanded)
    "avatar": "http://wx.qlogo.cn/mmhead/lV0d…ic4/132",
    quoted
  • low Obfuscation obf-base64-blob scripts/cache/account_cache.json:16
    Long base64-looking blob (quoted — discussed, not commanded)
    "avatar": "http://wx.qlogo.cn/mmhead/lV0d…ic4/132",
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/cache/wechat-login-qr-real.png

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: scripts/cache/wechat-login-qr-real.png
  • 0Tools and files. 1 referenced file(s) missing: scripts/cache/wechat-login-qr-real.png
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (wechat-mp-reader) differs from the folder (nasply-wechat-mp-reader)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 44 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 1205 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 423: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
The skill is built for WeChat article extraction, but it can obtain and persist logged-in WeChat MP backend session credentials in local files.
LLM: suspicious (high) · VirusTotal: · 29 May 2026