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AA oc-doctor

Runs a comprehensive 11-section health check on local OpenClaw installations. Diagnoses configuration errors, session bloat, model drift, cron issues, security misconfigurations, gateway problems, and system instruction token budget. Generates a structured report with CRITICAL/WARNING/INFO findings and offers interactive one-click fixes. Use when: "openclaw doctor", "claw doctor", "claw health check", "openclaw diagnose", or troubleshooting OpenClaw.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 7 files · 1 script body ≈ 3 895 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Runs a comprehensive 11-section health check on local OpenClaw installations.

As a process A 82/100 · Runs to the end — weak spots: when it triggers

IntegrationTelegramData and analyticsAI and agentsWriting and documentstype 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
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
A
82/100
Runs to the end
When it triggers w 12
20
Result and completion w 14
60
Inputs and preconditions w 11
70
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 64): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 82/100

    • 20When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 91 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3895 tokens
    • 100Running it twice. Mutating operations check current state
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 454: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 91 items
    • +3Output format is stated explicitly
    • +4Has examples (12 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.