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AB openclaw-multi-agent-wizard

Guide beginners through OpenClaw multi-agent setup with a step-by-step wizard. Use when the user wants to create OpenClaw multi-agent setups, says things like "多 agent", "多bot多agent", "单bot多agent", "多个助理", "飞书多机器人", or needs simple beginner-friendly help creating multiple OpenClaw agents and Feishu channel bindings without understanding the underlying configuration.

ClawHub Agent Skills author: majiabin2020 v0.1.0 MIT-0 22 files body ≈ 2 597 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureAI 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
96
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
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: 22. 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
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 10 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 102 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Failures and branches. 10 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2597 tokens
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 368: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 102 items
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (13 of 13)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    This setup wizard is mostly purpose-aligned, but it repeatedly asks users to paste Feishu app secrets into chat without adequate safety warnings.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026