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CD oss-scaffold

从 0 搭建 GitHub 仓库全部组件的脚手架（腾讯三标杆仓规格）。输入项目名 + 一句话定位，一次性生成 README（三档形态）+ CHANGELOG + CONTRIBUTING + LICENSE + .github 模板 + CI 骨架 + docs 骨架 + .gitignore，并完成本地 git init/commit；推送 GitHub 前强制 R14 放行。文档风格引用 oss-voice，维护者语气引用 oss-persona，文档站调用 vitepress skill。触发词（能力词，场景词「建仓」让渡给 oss-workflow）：脚手架生成、从 0 生成组件、初始化组件、scaffold。

ClawHub Agent Skills author: Leo v1.0.0 MIT-0 24 files body ≈ 1 088 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

从 0 搭建 GitHub 仓库全部组件的脚手架（腾讯三标杆仓规格）。输入项目名 + 一句话定位，一次性生成 README（三档形态）+ CHANGELOG + CONTRIBUTING + LICENSE + .github 模板 + CI 骨架 + docs 骨架 + .gitignore，并完成本地 git…

As a process D 35/100 · Unfinished process — References files that are not bundled: references/settings-profiles/ci/ci-<lang>.yml

TemplateGitHubWriting and documentsSoftware developmenttype 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
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: references/settings-profiles/ci/ci-<lang>.yml
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

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 · 0

✓ No critical or high findings

Files scanned: 24. 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/settings-profiles/ci/ci-<lang>.yml

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/settings-profiles/ci/ci-<lang>.yml
  • 0Tools and files. 1 referenced file(s) missing: references/settings-profiles/ci/ci-<lang>.yml
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1088 tokens
  • 100Progress reporting. Reports progress

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 313: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is mostly a repository scaffolder, but some bundled CI templates add release and package-publishing automation that is broader than the skill’s stated simple CI purpose.
LLM: suspicious (high) · 28 Sept 2026