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BD feishu-messaging

飞书消息发送与文档创建工作流。 触发场景：查找群成员、查找群ID、发送消息失败需要重新尝试。 适用于：发送飞书消息。

ClawHub Agent Skills author: make453 v1.0.0 MIT-0 6 files body ≈ 1 465 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 35/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ProcedureInfrastructuretype 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
B
83/100
safety, quality, tests
Safety 60%
96
Quality 40%
63
Run on models
none yet
Process rating
D
35/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: feishu-messaging (ClawHub)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token scripts/search-user.js:9
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const APP_SECRET = process.env.FEISHU_APP_SECRET || 'KJXQ…OaR';
    quoted
  • low Secrets in code secret-labelled-token scripts/test-feishu.js:11
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file)
    const APP_SECRET = 'KJXQ…OaR';
    fixture
  • low Secrets in code secret-high-entropy-token scripts/test-feishu.js:11
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    const APP_SECRET = 'KJXQ…OaR';
    fixturequoted
  • low Secrets in code secret-high-entropy-token scripts/test-send-message.js:11
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    const APP_SECRET = process.env.FEISHU_APP_SECRET || 'KJXQ…OaR';
    fixturequoted

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 35/100

  • 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
  • 25Steps. 1 steps
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (feishu-messaging) differs from the folder (feishu-messaging-bak)
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 1465 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)
  • +3Description length 58: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -33 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This Feishu skill appears aimed at messaging, but it bundles live API scripts with hardcoded Feishu credentials and under-disclosed access to employee directory data and file uploads.
LLM: suspicious (high) · VirusTotal: · 29 May 2026