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BF uni-app-wechat-cicd

uni-app 项目微信小程序全流程开发、构建与 CI/CD 发布。当用户提到：开发 uni-app 小程序、用 uni-app 开发微信小程序、uni-app 小程序 CI/CD 发布、小程序上传体验版、自动发布微信小程序、miniprogram-ci 配置、微信小程序自动化发布、GitHub Actions / GitLab CI 部署微信小程序等场景时触发本技能。

ClawHub Agent Skills author: ACxj v1.0.0 MIT-0 8 files · 1 script body ≈ 1 142 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 16/100 · Will not run — References files that are not bundled: references/miniprogram-dev.md

ProcedureGitHubGitLabInfrastructuretype 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
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
70
Run on models
none yet
Process rating
F
16/100
Will not run
References files that are not bundled: references/miniprogram-dev.md
Tools and files w 18
0
Steps w 15
0
Result and completion w 14
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-private-key references/miniprogram-ci.md:197
    Private key material (placeholder value)
    | `WEAPP_PRIVATE_KEY` | 私钥内容（直接传入）| `-----BEGIN PRIVATE KEY----- …
    placeholder

Files scanned: 8. 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: references/miniprogram-dev.md

Process rating: all ten parameters 16/100

Will not run. References files that are not bundled: references/miniprogram-dev.md
  • 0Tools and files. 1 referenced file(s) missing: references/miniprogram-dev.md
  • 0Steps. Prose only: no discrete steps
  • 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 (uni-app-wechat-cicd) differs from the folder (uni-app-wechat-miniprogram-cicd)
  • 100Execution cost. Instruction body is 1142 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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 186: enough signal without eating the budget
  • +4Structure: 13 headings
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 2 scripts are documented

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

External checks

ClawHub: clean
This is a disclosed WeChat Mini Program CI/CD helper, but it needs careful credential and release controls before use.
LLM: benign (high) · VirusTotal: · 29 May 2026