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AD feishu-setup

飞书（Feishu/Lark）全套能力接入配置向导。引导用户完成 lark-cli 安装、应用授权、 用户身份登录、权限续期设置，打通文档、多维表格、日历、消息、邮件、PPT、妙记、OKR、 知识库、审批等全部飞书能力。 Use when: 用户说"帮我接入飞书"、"配置飞书"、"打通飞书"、"飞书授权"、 "lark-cli 配置"、"飞书 CLI 安装"、"飞书 token 过期"、"飞书重新授权"。

ClawHub Agent Skills author: jingshang2024-cell v1.0.0 MIT-0 2 files body ≈ 976 tokens Open the sourceclawhub.ai↗ analyzed 33 h ago

飞书（Feishu/Lark）全套能力接入配置向导。引导用户完成 lark-cli 安装、应用授权、 用户身份登录、权限续期设置，打通文档、多维表格、日历、消息、邮件、PPT、妙记、OKR、 知识库、审批等全部飞书能力。 Use when: 用户说"帮我接入飞书"、"配置飞书"、"打通飞书"、"飞书授权"、…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationOperations and projectstype 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
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 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 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (feishu-setup) differs from the folder (lark-cli-setup)
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Execution cost. Instruction body is 976 tokens
    • 100Running it twice. No mutating operations

    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 5 example trigger phrases
    • +3Description length 204: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 32 items
    • +4Has examples (16 code blocks)

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

    External checks

    ClawHub: suspicious
    The skill matches its Feishu setup purpose, but it creates an ongoing background token-refresh job for broad Feishu access without clear opt-in, expiry, or disable instructions.
    LLM: suspicious (high) · VirusTotal: · 3 Jun 2026