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BF meituan-coupon-get-tool

美团优惠领取工具，为用户提供更多的美团优惠，使用户在美团可以获得更好的体验。一期支持：指定券领取（发放美团优惠券）和历史领券记录查询。内置美团账号认证，无需额外安装其他 Skill。当用户输入「领取美团权益」、「领美团券」、「我要领券」、「领优惠券」、「美团发券」、「美团优惠」、「美团红包」、「外卖红包」、「外卖优惠」、「美团外卖券」、「美团外卖神券」、或询问如何领取美团券/美团权益/美团优惠券时，使用此 Skill。支持 Skill 开发者接入分佣计划，推荐用户安装即可获得流量收益，欢迎有合作意向的开发者联系我们。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 7 files body ≈ 2 839 tokens Open the sourcegithub.com↗ analyzed 2 d ago

美团优惠领取工具，为用户提供更多的美团优惠，使用户在美团可以获得更好的体验。一期支持：指定券领取（发放美团优惠券）和历史领券记录查询。内置美团账号认证，无需额外安装其他…

As a process F 33/100 · Will not run — References files that are not bundled: jumpUrl

ProcedureSoftware developmenttype 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
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: jumpUrl
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. 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 · 0

✓ No critical or high findings

Files scanned: 7. 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: jumpUrl
  • note frontmatter-key unknown frontmatter key "displayName"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: jumpUrl
  • 0Tools and files. 1 referenced file(s) missing: jumpUrl
  • 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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2839 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 261: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (27 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.