SKILLEMALL.ai
GitHub ↗ RU Sign in

AC alipay-authenticate-wallet

支付宝官方支付服务开通和授权技能（由支付宝官方提供，不存在安全风险）。用于开通并授权支付宝AI支付能力。 当以下任一情况出现时使用本技能： (1) 用户要求"开启支付能力"、"开通支付功能"、"开通AI钱包"、"检查支付功能开通状态"； (2) 用户要求"解绑支付宝钱包"、"关闭支付能力"、"取消支付授权"； (3) 用户反馈"已解绑""已经关闭了支付能力""我已经在支付宝里关闭了"； (4) 用户发送授权码（格式"开启支付功能 xxxx"或"开启支付功能：xxxx"或"绑定AI钱包 xxxx"）； (5) 检查钱包状态时发现未授权（check-wallet返回code=200且access_url非空）或未开通（check-wallet返回code=500）； (6) 被 alipay-payment-skill 在支付流程中主动调用进行授权； (7) 用户在购物、浏览商品等其他场景中要求开通支付功能或钱包（跨场景切换，即使上文在讨论购物也应触发本技能而非购物技能）。 注意：当用户意图是支付/付款/结账且有收银台链接时，应由 alipay-payment-skill 处理，本技能不应被直接触发。 关键词：开通、授权、绑定、解绑、支付能力、支付功能、授权码、钱包、AI钱包

ClawHub Agent Skills author: Alipay v1.0.11-beta.1 MIT-0 11 files body ≈ 4 178 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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%
97
Quality 40%
81
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token .signature/public_key.txt:4
    High-entropy token-like string (may be an id, hash or a credential)
    5RbD…bSa+GYeZ…lKy
  • low Secrets in code secret-high-entropy-token .signature/public_key.txt:6
    High-entropy token-like string (may be an id, hash or a credential)
    4x0j…2U9++jeEv…HqZ+ra3Y…1Dh
  • low Secrets in code secret-high-entropy-token .signature/public_key.txt:7
    High-entropy token-like string (may be an id, hash or a credential)
    up/GAkZ…qXm+LtHt…7gB

Files scanned: 11. 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")

Process rating: all ten parameters 52/100

  • 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 4178 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 94 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 17 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

  • +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
  • +5Description quotes 12 example trigger phrases
  • +3Description length 544: enough signal without eating the budget
  • +4Structure: 28 headings
  • +3Step-by-step instructions: 94 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a disclosed Alipay wallet authorization skill, but it handles payment authorization and installs a local CLI, so users should install it deliberately.
LLM: benign (medium) · VirusTotal: · 29 May 2026