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BF feishu-room-booking

面向飞书用户的会议室查询、预订与配置技能，支持首次使用时识别公司、从飞书日程自动导入企业会议室 room_id、查询忙闲、按楼栋/楼层/容量筛选、创建或补订会议室、偏好管理、候补轮询与工区时间线。当用户提到“查会议室”“订会议室”“配置会议室”“导入会议室”“会议室偏好”“补订会议室”或首次安装配置时使用。

ClawHub Agent Skills author: qiushibang v3.2.0 MIT-0 9 files body ≈ 2 345 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 38/100 · Will not run — References files that are not bundled: references/room-mapping.json, references/custom-room-mapping.json, references/tenant-profile.json

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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/room-mapping.json, references/custom-room-mapping.json, references/tenant-profile.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 9. 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")
  • warning missing-ref reference to a missing file: references/room-mapping.json
  • warning missing-ref reference to a missing file: references/custom-room-mapping.json
  • warning missing-ref reference to a missing file: references/tenant-profile.json
  • warning missing-ref reference to a missing file: references/user-preferences.json
  • warning missing-ref reference to a missing file: references/room-waitlist.json
  • warning missing-ref reference to a missing file: references/weekly-workspace.json

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/room-mapping.json, references/custom-room-mapping.json, references/tenant-profile.json
  • 0Tools and files. 6 referenced file(s) missing: references/room-mapping.json, references/custom-room-mapping.json, references/tenant-profile.json
  • 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
  • 100Steps. 112 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2345 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
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 112 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
The skill is a coherent Feishu meeting-room helper, but it can automatically scan calendars and reserve rooms without per-action confirmation, so it should be reviewed carefully before installation.
LLM: suspicious (high) · 5 Sept 2026