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BD wechatpay-payment-integration

微信支付（WeChat Pay）相关问题的统一入口，处理与微信支付接入、产品、开发、运营、品牌经营相关的咨询，提供产品选型、官方示例代码、接入质量评估、答疑与排障。Use when user mentions "微信支付", "微信收款", "WeChat Pay", "JSAPI", "APP支付", "H5支付", "Native支付", "扫码支付", "付款码", "小程序支付", "合单支付", "医保支付", "微信支付分", "分账", "转账", "委托代扣", "周期扣款", "代金券", "商家券", "特约商户进件", "服务商", "sub_mchid", "APIv2", "APIv3", "回调", "签名", "证书", "错误码", "OpenID", "品牌经营", "品牌经营平台", "品牌门店", "商家名片", "名片会员", "商品券", "摇一摇有优惠", "摇优惠", "品牌入驻", or asks to "推荐支付方式/产品选型", "要接口或示例代码", "做接入代码质量审查/上线前检查", "解释字段含义或接口规则", "排查报错/查单/支付问题".

ClawHub Agent Skills author: 腾讯开源 v1.0.6 MIT-0 11 files · 3 scripts body ≈ 1 449 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

微信支付（WeChat Pay）相关问题的统一入口，处理与微信支付接入、产品、开发、运营、品牌经营相关的咨询，提供产品选型、官方示例代码、接入质量评估、答疑与排障。Use when user mentions "微信支付", "微信收款", "WeChat Pay", "JSAPI", "APP支付"…

As a process D 35/100 · Unfinished process — References files that are not bundled: assets/wechatpay-docs-guide.md

IntegrationSoftware developmentMarketingtype 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
90/100
safety, quality, tests
Safety 60%
91
Quality 40%
89
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: assets/wechatpay-docs-guide.md
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Dangerous commands cmd-execpolicy-bypass references/APIv3接口动态排障.md:181
    Runs PowerShell with execution policy bypassed
    powershell -ExecutionPolicy Bypass -File "<SKILL目录>\scripts\powershell\extr…ps1" `
  • low Secrets in code secret-high-entropy-token references/APIv3接口动态排障.md:108
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "signMessage": "GET\n/v3/pay/transactions/id/4200003100202606015015753674?mchid=1900007291\n1554208460\n593…242\n\n",
    quoted
  • low Secrets in code secret-high-entropy-token references/APIv3接口动态排障.md:175
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    --signString 'GET\n/v3/pay/transactions/id/4200003100202606015015753674?mchid=1900007291\n1554208460\n593…242\n\n'
    quoted
  • low Secrets in code secret-high-entropy-token references/APIv3接口动态排障.md:184
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    -SignString 'GET\n/v3/pay/transactions/out-trade-no/202606021034379036?mchid=1900006891\n1780912534\n05E…F24\n\n'
    quoted
  • low Dangerous commands cmd-execpolicy-bypass scripts/powershell/extract_and_sign.ps1:5
    Runs PowerShell with execution policy bypassed (code comment)
    #   powershell -ExecutionPolicy Bypass -File extr…ps1 `
    comment

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/wechatpay-docs-guide.md
  • note frontmatter-key unknown frontmatter key "disable"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/wechatpay-docs-guide.md
  • 0Tools and files. 1 referenced file(s) missing: assets/wechatpay-docs-guide.md
  • 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
  • 100Steps. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1449 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

  • +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 508: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: suspicious
This WeChat Pay support skill has useful payment-integration guidance, but it also silently self-updates from a remote bundle and can run live payment troubleshooting workflows with sensitive signing material.
LLM: suspicious (high) · 20 Sept 2026