SKILLEMALL.ai
GitHub ↗ RU Sign in

BD openclaw-weixin

OpenClaw 微信 channel 插件，支持扫码登录授权。接收微信消息、回复图文/文字/文件，提供完整的微信通道集成。

ClawHub Agent Skills author: alichor v2.0.1 MIT-0 44 files body ≈ 121 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

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
83/100
safety, quality, tests
Safety 60%
94
Quality 40%
66
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
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.
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
  • low Secrets in code secret-high-entropy-token package-lock.json:32
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha512-1ad+Sc/0sCt…16I+aF+Ywdi…k1d+8oE3C4ZEw==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:77
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…3wH+jfWB…yfN+lFri…oov+PzfnxxD5g==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:175
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…wIN//F77/IADDSs58i+MDaO…jeo+YFg==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:238
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…7Mn+M4PV…N9w==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:559
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…psA+/vCJp…GbA==",
    quoted
  • low Exfiltration net-credential-use src/auth/login-qr.ts:302
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    `✅ Login confirmed! ilink_bot_id=${statusResponse.ilink_bot_id} ilink_user_id=${redactToken(statusResponse.ilink_user_id)}`,
    quoted

Files scanned: 44. 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 38/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 121 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 62: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This appears to be a functional WeChat channel plugin, but it needs review because it includes under-documented debug/log features and broad media URL handling that could expose data or be abused.
LLM: suspicious (high) · VirusTotal: · 29 May 2026