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BF wechat-original-hot

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ClawHub Agent Skills author: RedFox v1.0.4 MIT-0 8 files body ≈ 1 858 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: 链接

ProcedureInfrastructuretype 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
82/100
safety, quality, tests
Safety 60%
90
Quality 40%
70
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: 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
This is a copy of a skill from another catalog; the rating counts the canonical one: wechat-original-hot (ClawHub)

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Obfuscation uni-zero-width temp_articles.json:513
    Zero-width / invisible characters (possible hidden text) (13 occurrences)
    "content": "宋江：“今天开会，只讲三件事。”␀  李逵：“太好了，终于是短会。”␀  宋江：“第一件事，为什么以前的会太长。”␀  吴用：“这个问题我准备了十页说明。”␀  宋江：“第二件事，今后如何开短会。”␀  吴用：“这个问题比较复杂，我准备了二十页。”␀  鲁智深：“第三件事呢？”␀  宋江：“讨论…
  • low Obfuscation obf-base64-blob temp_articles.json:8
    Long base64-looking blob (quoted — discussed, not commanded)
    "coverUrl": "https://mmbiz.qpic.cn/sz_mmbiz_jpg/zBk2…ibU/0?wx_fmt=jpeg",
    quoted
  • low Obfuscation obf-base64-blob temp_articles.json:31
    Long base64-looking blob (quoted — discussed, not commanded)
    "coverUrl": "https://mmbiz.qpic.cn/sz_mmbiz_jpg/yhO3…Bcs/0?wx_fmt=jpeg",
    quoted
  • low Obfuscation obf-base64-blob temp_articles.json:45
    Long base64-looking blob (quoted — discussed, not commanded)
    "userHeadUrl": "http://mmbiz.qpic.cn/mmbiz_png/ssnd…1Zw/0?wx_fmt=png",
    quoted
  • low Obfuscation obf-base64-blob temp_articles.json:54
    Long base64-looking blob (quoted — discussed, not commanded)
    "coverUrl": "https://mmbiz.qpic.cn/sz_mmbiz_jpg/iaJ8…oeM/0?wx_fmt=jpeg",
    quoted
  • low Obfuscation obf-base64-blob temp_articles.json:77
    Long base64-looking blob (quoted — discussed, not commanded)
    "coverUrl": "https://mmbiz.qpic.cn/mmbiz_jpg/Gc1y…ty8/0?wx_fmt=jpeg",
    quoted

Files scanned: 8. 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: 链接

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: 链接
  • 0Tools and files. 1 referenced file(s) missing: 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-original-hot) differs from the folder (wechat-original-article-king)
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 1858 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)
  • +3Description length 72: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 2 scripts are documented

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

External checks

ClawHub: suspicious
The skill mostly matches its stated WeChat article-ranking purpose, but it sends an API key over HTTPS with certificate checks disabled and generates HTML that loads remote executable JavaScript.
LLM: suspicious (high) · 31 Aug 2026