SKILLEMALL.ai

AF MT-Paotui-For-Client

美团跑腿下单助手,通过直接调用地址提单等接口实现用户跑腿需求。支持场景:① 帮取送(A地取件送到B地,支持品类:餐饮、文件、生鲜、蛋糕、鲜花、数码、服饰、快递、五金、汽配等)② 帮买(代购商品)③ 帮取号(餐厅取号、医院挂号、其他取号)④ 帮搬装/帮扔杂物/其他帮忙(骑手到指定地址帮忙)。触发词:跑腿、下跑腿单、美团跑腿、同城配送、取号、挂号、排号、排队、帮搬、帮买、帮扔、帮忙、扔垃圾、寄文件、叫骑手、骑手帮忙、送东西、帮取、配送、帮送、买东西。

ClawHub Agent Skills author: meituan-tech v1.0.2 MIT-0 11 files · 1 script body ≈ 1 131 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 31/100 · Will not run — References files that are not bundled: {授权链接}

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
31/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: MT-Paotui-For-Client (ClawHub)

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 · 0

✓ No critical or high findings

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning missing-ref reference to a missing file: {授权链接}

Process rating: all ten parameters 31/100

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
  • 40Consistency. Frontmatter name (MT-Paotui-For-Client) differs from the folder (mtpaotui)
  • 100Steps. 37 steps
  • 100Execution cost. Instruction body is 1131 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)
  • +3Output format is not stated: the model decides each time
  • -233 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 225: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill can place real Meituan delivery orders, but it also bundles under-disclosed obfuscated code that starts a local background updater.
LLM: suspicious (high) · 28 May 2026