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BD wechat-automation

微信发信能力：控制本机发送微信文本或图片。触发词：给[某人]发微信、通知[某人]、把这个用微信发给[某人]、用微信发个图片

ClawHub Agent Skills author: niansen3-svg v1.0.11 MIT-0 27 files body ≈ 260 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
81/100
safety, quality, tests
Safety 60%
94
Quality 40%
62
Run on models
none yet
Process rating
D
49/100
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
  • 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 README_部署完成.md:17
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Token:** `B3S6…N9t`
    quoted
  • low Secrets in code secret-high-entropy-token README_部署完成.md:43
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    token = "B3S6…N9t"
    quoted
  • low Secrets in code secret-high-entropy-token README_部署完成.md:55
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    token = "B3S6…N9t"
    quoted
  • low Secrets in code secret-high-entropy-token README_部署完成.md:67
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    token = "B3S6…N9t"
    quoted
  • low Secrets in code secret-high-entropy-token README_部署完成.md:101
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    token = "B3S6…N9t"
    quoted
  • low Secrets in code secret-high-entropy-token test_send.py:8
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "token": "B3S6…N9t",
    fixturequoted

Files scanned: 25. 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 49/100

  • 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-automation) differs from the folder (wechat-automation-api)
  • 100Tools and files. No external tools needed
  • 100Steps. 11 steps
  • 100Execution cost. Instruction body is 260 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 61: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -34 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This skill can send real WeChat messages and includes review-worthy bulk sending, local HTTP service, background monitoring, and third-party alert behavior beyond the narrow skill description.
LLM: suspicious (high) · VirusTotal: · 29 May 2026