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CF meituan-huisheng-coupon

当用户提到领券、优惠、省钱、活动、打折，或想吃饭/喝奶茶/喝咖啡/吃火锅/烧烤/日料等到店餐饮，或涉及外卖、酒旅、超市、休闲娱乐等美团覆盖的生活服务消费决策，或询问「附近有什么」「哪里有」「今天有什么活动」等探索型问题时触发。支持一键领取美团各品类优惠券、查询今日活动、搜索附近团购商品并下单。

ClawHub Agent Skills author: meituan-lianmeng v0.1.4 MIT-0 21 files · 14 scripts body ≈ 4 848 tokens Open the sourceclawhub.ai↗ analyzed 11 d ago

当用户提到领券、优惠、省钱、活动、打折，或想吃饭/喝奶茶/喝咖啡/吃火锅/烧烤/日料等到店餐饮，或涉及外卖、酒旅、超市、休闲娱乐等美团覆盖的生活服务消费决策，或询问「附近有什么」「哪里有」「今天有什么活动」等探索型问题时触发。支持一键领取美团各品类优惠券、查询今日活动、搜索附近团购商品并下单。

As a process F 34/100 · No process to follow — References files that are not bundled: <imageUrl>, <url>, activity_link

ProcedureSoftware developmentAI and agentsDesigntype 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
C
80/100
safety, quality, tests
Safety 60%
94
Quality 40%
59
Run on models
none yet
Process rating
F
34/100
No process to follow
References files that are not bundled: <imageUrl>, <url>, activity_link
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

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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Obfuscation obf-base64-blob scripts/mtuser-pt-passport-0.1.4.txt:1
    Long base64-looking blob
    H4sI…AAC/+x9eXNdx7Gf/s6nI…3SQ+GZAmgAlKJA+O6pX8+cuwA…3cM/ve09t0v0/lL+ktfXF2Xunkp/P64R…NqH/+MtFev+eLj7/l8vP/tZ/Qghn…DNt
  • low Secrets in code secret-high-entropy-token scripts/mtuser-pt-passport-0.1.4.txt:1
    High-entropy token-like string (may be an id, hash or a credential)
    H4sI…AAC/+x9eXNdx7Gf/s6nI…3SQ+GZAmgAlKJA+O6pX8+cuwA…3cM/ve09t0v0/lL+ktfXF2Xunkp/P64R…NqH/+MtFev+eLj7/l8vP/tZ/Qghn…DNt

Files scanned: 21. 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: <imageUrl>
  • warning missing-ref reference to a missing file: <url>
  • warning missing-ref reference to a missing file: activity_link
  • warning missing-ref reference to a missing file: {payQrCodeImage}
  • warning missing-ref reference to a missing file: {payUrl}

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: <imageUrl>, <url>, activity_link
  • 0Tools and files. 5 referenced file(s) missing: <imageUrl>, <url>, activity_link
  • 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
  • 70Execution cost. Instruction body is 4848 tokens
  • 100Steps. 92 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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
  • -246 emoji in the instructions: noise for the model
  • -38 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 147: enough signal without eating the budget
  • +4Structure: 63 headings
  • +3Step-by-step instructions: 92 items
  • +4Has examples (30 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
This Meituan coupon and ordering skill is mostly purpose-related, but it also stores sensitive account/location state and runs self-updating background infrastructure that deserves review before use.
LLM: suspicious (high) · 1 Jun 2026