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AC problem-solving

结构化问题诊断与解决方法论。 Use when: (1) 问题原因不明需要调查/"分析一下这个问题"/"排查一下", (2) 之前的修复尝试失败了, (3) 问题涉及多个组件交互/"为什么会这样"/"调查一下原因", (4) 修改有风险或副作用/"诊断一下", (5) 用户明确要求先分析再修复。 NOT for: 明显的一行修复、错误信息清晰且有已知方案的问题、 用户说"直接修"的简单问题。

ClawHub Agent Skills author: lovensky1992-wk v1.0.3 MIT-0 3 files body ≈ 1 516 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureInfrastructuretype 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
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
40
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: 3. 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 64/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (problem-solving) differs from the folder (problem-solving-methodology)
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 40 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 1516 tokens
    • 100Running it twice. No mutating operations
    • 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

    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 197: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 40 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    This is a markdown-only troubleshooting methodology skill with disclosed diagnostic behavior and no hidden code or install actions.
    LLM: benign (high) · VirusTotal: · 29 May 2026