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AC project-evaluator

对项目进行结构化评估与优化，借鉴达尔文技能的质量方法论。 2026-05-14 v0.2.0: 新增过程级评估维度（借鉴 AgentLens 方法论）。 Trigger: "评估项目", "项目健康检查", "project review", "项目评分", "优化项目", "项目质量检查" Best for: 评估项目交付质量、识别改进方向、项目收口把关 Not for: 代码审查（用原生工具）、项目管理（用 JIRA/其他） Version: 0.2.0

ClawHub Agent Skills author: youxiyin v0.2.0 MIT-0 2 files body ≈ 1 274 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerJiraInfrastructureAI and agentsOperations and projectstype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
53/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 2. 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 53/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (project-evaluator) differs from the folder (wave-project-evaluator)
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (git) that frontmatter does not declare
    • 100Steps. 25 steps
    • 100Execution cost. Instruction body is 1274 tokens

    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

    • +3Output format is not stated: the model decides each time
    • -5TODO / placeholder text left in the skill
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 231: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a coherent project review skill, but users should review and approve any proposed edits before allowing it to change files or git history.
    LLM: benign (high) · VirusTotal: · 29 May 2026