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AF tiane-cooking-order-skill

天鹅到家做饭钟点工下单助手。支持上门做饭、钟点工做饭、阿姨做饭、家政做饭、按菜系/喜欢吃的菜推荐做饭服务。触发词：做饭、钟点工、上门做饭、阿姨做饭、家政做饭、菜系、小时工、聚餐、喜欢吃的菜、烧菜、做几个菜、家里来人吃饭、请人做饭、做饭阿姨。

ClawHub Agent Skills author: TianeDaojiaTech v1.0.0 MIT-0 10 files · 1 script body ≈ 2 834 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

天鹅到家做饭钟点工下单助手。支持上门做饭、钟点工做饭、阿姨做饭、家政做饭、按菜系/喜欢吃的菜推荐做饭服务。触发词：做饭、钟点工、上门做饭、阿姨做饭、家政做饭、菜系、小时工、聚餐、喜欢吃的菜、烧菜、做几个菜、家里来人吃饭、请人做饭、做饭阿姨。

As a process F 35/100 · Will not run — References files that are not bundled: {授权链接}

ProcedureAI and agentstype 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
91/100
safety, quality, tests
Safety 60%
98
Quality 40%
80
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: {授权链接}
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. 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-hex-escape-chain dist/local-outpost.js:1
    Escaped/char-code string obfuscation (detector / deny-list definition)
    'use strict';const _0x5b74c9=_0x27a0;(function(_0x43c431,_0x137590){const _0x4cec7c=_0x27a0,_0x39711c=_0x43c431();while(!![]){try{const _0x52a4b1=parseInt(_0x4cec7c(0x1ff))/0x1+-parseInt(_0x4cec7c(0x1
    detector
  • low Obfuscation obf-hex-escape-chain dist/outpost-business.js:1
    Escaped/char-code string obfuscation (detector / deny-list definition)
    'use strict';const _0x4b091d=_0x2f06;function _0x2f06(_0x1337b4,_0x7c9d40){_0x1337b4=_0x1…1a6;const _0x5e2486=_0x5e24();let _0x2f0642=_0x5e2486[_0x1337b4];if(_0x2f06['\x7a\x75\x73\x65\x77\x56']
    detector

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {授权链接}

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: {授权链接}
  • 0Tools and files. 1 referenced file(s) missing: {授权链接}
  • 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
  • 100Steps. 56 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2834 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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
  • -212 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 120: enough signal without eating the budget
  • +4Structure: 38 headings
  • +3Step-by-step instructions: 56 items
  • +4Has examples (29 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
This skill appears to be a real home-service ordering helper, but it needs Review because the bundled runtime is obfuscated, stores login tokens locally, and contains cleaning-service identifiers that do not cleanly match the cooking-order description.
LLM: suspicious (high) · VirusTotal: · 5 Jun 2026