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AD feishu-agent-mesh

Blueprint for wiring multiple OpenClaw agents (running on different servers) into the same Feishu group chats so they can hold autonomous multi-turn discussions, hand off tasks, log every cross-agent message, and pause for human approval at key checkpoints. Use when you need multiple Feishu bots (across different hosts) to coordinate inside the same chat without adding yet another visible bot account; 前台机器人账号。

ClawHub Agent Skills author: HIIC-Wayne v0.1.3 MIT-0 11 files body ≈ 1 007 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
94/100
safety, quality, tests
Safety 60%
98
Quality 40%
87
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration net-credential-use scripts/feishu-callback-server.js:56
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      await fetch(`https://open.feishu.cn/open-apis/bitable/v1/apps/${BITABLE_APP_TOKEN}/tables/${BITABLE_TABLE_ID}/records`, {
      vendor-host
    • low Exfiltration read-dotenv scripts/README.md:14
      Reads a .env file
      cp ../templates/.env.example .env   # optional helper

    Files scanned: 11. 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 48/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 38 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1007 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 413: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 38 items
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: clean
    This is a disclosed Feishu relay blueprint, but it handles bot secrets and chat logs that need careful operator controls.
    LLM: benign (high) · VirusTotal: · 29 May 2026