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AB configure-openclaw-anyrouter-model-and-fix-baseurl

用于在 OpenClaw 中新增或覆盖 anyrouter 模型配置、把小肠 Agent 默认模型切到 `anyrouter/claude-opus-4-6`，并结合运行日志判断是不是 `baseUrl`、网关兼容、鉴权或协议端点导致不可用。遇到“把某个供应商模型写进 openclaw.json”“切换默认模型”“为什么配置生效了但实际没调用上”“查看 fallback 日志”“排查 403/500/invalid claude code request”“同步 ClaudeCode 配置”这类需求时，就应启用本技能；即使用户没明确说 OpenClaw，只要描述的是本地 Agent 模型路由切换与调用异常排查，也适用。

ClawHub Agent Skills author: can4hou6joeng4 v1.0.0 MIT-0 3 files body ≈ 2 130 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

ReferenceAI and agentstype 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%
87
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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 66/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 42 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2130 tokens
    • 100Running it twice. No mutating operations
    • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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)
    • +3Output format is not stated: the model decides each time
    • -212 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 313: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is an instruction-only OpenClaw troubleshooting skill whose sensitive actions are disclosed and aligned with its purpose, but users should approve config changes and live endpoint tests before use.
    LLM: benign (high) · VirusTotal: · 29 May 2026