SKILLEMALL.ai
GitHub ↗ RU Sign in

BC feishu-wiki-query

飞书知识库文档查询技能。当用户询问需要查询飞书知识库中的文档时使用此技能，包括：查询动物信息、查看排期、读取文档内容、处理文档中的图片、画板和电子表格等。触发场景包括：用户说"查一下xx动物"、"看看排期"、"查询知识库"、"食堂菜谱"等。

ClawHub Agent Skills author: fwsong v1.0.0 MIT-0 3 files body ≈ 1 823 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
Has gaps
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

  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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token SKILL.md:230
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "app_secret": "0ejw…jDo"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:325
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "app_secret": "0ejw…jDo"
    quoted

Files scanned: 3. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1823 tokens
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 120: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (20 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This Feishu wiki query skill mostly matches its stated purpose, but it embeds real-looking Feishu app credentials and adds outbound upload/message-sending flows that are broader than a normal read-only query skill.
LLM: suspicious (high) · VirusTotal: malicious · 28 May 2026