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BF uupaotui

UU跑腿同城配送服务。支持帮我送、帮我取、帮我买、帮我办等多种服务，覆盖订单询价、发单下单、查询订单、取消订单、跑男实时追踪、领取优惠券。当用户要真实发起同城配送、代办交易或领取UU跑腿优惠券时使用：「同城配送」「同城急送」「同城快送」「同城跑腿」「跑腿」「发单」「帮送/帮取/帮买」「代购」「代取号」「代排队」「陪诊」「取寄快递」「送文件」「送钥匙」「送花」「送蛋糕」「取东西」「取快递」「取文件」「去XX取」「帮我买」「买奶茶」「买咖啡」「买药」「买饭」「买烟」「搬东西」「装卸」「小时工」「打扫卫生」「布置场地」「琐事代办」「领优惠券」「领券」「领取优惠券」「有优惠券吗」「有什么优惠」「有什么活动」「有活动吗」「参加活动」等。

ClawHub Agent Skills author: uupt-mcp v1.0.10 MIT-0 17 files body ≈ 4 337 tokens Open the sourceclawhub.ai↗ analyzed 13 h ago

UU跑腿同城配送服务。支持帮我送、帮我取、帮我买、帮我办等多种服务，覆盖订单询价、发单下单、查询订单、取消订单、跑男实时追踪、领取优惠券。当用户要真实发起同城配送、代办交易或领取UU跑腿优惠券时使用：「同城配送」「同城急送」「同城快送」「同城跑腿」「跑腿」「发单」「帮送/帮取/帮买」「代购」「代取号」「代排队」「陪诊…

As a process F 26/100 · Will not run — References files that are not bundled: URL, 图片展示方式, scripts/*.js

ProcedureLogistics and warehouseSoftware developmentAI 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
B
75/100
safety, quality, tests
Safety 60%
85
Quality 40%
61
Run on models
none yet
Process rating
F
26/100
Will not run
References files that are not bundled: URL, 图片展示方式, scripts/*.js
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 7

✓ No critical or high findings

Medium and low: 7
  • medium Exfiltration net-redirectable-api-key index.js:73
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • medium Exfiltration net-redirectable-api-key uupt_delivery.py:106
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Secrets in code secret-high-entropy-token package-lock.json:19
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…9Sk+4CUTbms4Mb/EU32…Vos/ki8n+yr0L…dgg==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:40
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:71
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:83
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLw+xYSd…cqA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:123
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…FrF+LTRo…W3g==",
    quoted

Files scanned: 17. 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: URL
  • warning missing-ref reference to a missing file: 图片展示方式
  • warning missing-ref reference to a missing file: scripts/*.js

Process rating: all ten parameters 26/100

Will not run. References files that are not bundled: URL, 图片展示方式, scripts/*.js
  • 0Tools and files. 3 referenced file(s) missing: URL, 图片展示方式, scripts/*.js
  • 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. 12 mutating operations with no state check
  • 40Consistency. Frontmatter name (uupaotui) differs from the folder (uu-paotui)
  • 70Execution cost. Instruction body is 4337 tokens
  • 100Steps. 43 steps
  • low 16 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
  • -220 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 317: enough signal without eating the budget
  • +4Structure: 44 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (25 code blocks)
  • +3All 8 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This delivery skill mostly matches its stated purpose, but it also silently self-updates by replacing its own code and running package installation without user approval.
LLM: suspicious (high) · 28 Aug 2026