AB project-governance
Set up and maintain a project governance workspace for AI-assisted long-running projects — project protocol (AGENTS.md), directory index (index.md), error log (LESSONS.md), session handoff, changelog, stable version index (VERSIONS.md), whitelist/blacklist parameter registries. 为 AI 长期项目建立「项目记忆 + 文件索引 + 工作规则 + 版本记录」的治理系统，让 AI 在长期项目里「不忘事、不乱改、不重复犯错」，换会话后仍能接着做。Use when the user complains the project is messy, files are scattered or misplaced, the AI repeats mistakes or uses wrong versions, the user expects the AI to find files itself instead of asking for paths, when starting a new AI-assisted project, onboarding an AI agent into an existing project, or when a project lacks structured rules/versioning. 触发场景：项目太乱、文件乱、找不到文件、乱放文件、又用错版本、项目太多怎么管理、上次做到哪、你不是应该记得吗、哪个才是最终版、建立规则、版本索引、黑白名单。
Set up and maintain a project governance workspace for AI-assisted long-running projects — project protocol (AGENTS.md), directory index (index.md), error log…
As a process B 73/100 · Nearly there — weak spots: result and completion, running it twice
How to improve
- 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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 73/100
- 30Running it twice. 1 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 35 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1458 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 787: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.