SKILLEMALL.ai

BF schedule-sync-claw

飞书日历智能协作 Skill。核心能力:(1) 智能约会——查询多人空闲时间、自动创建会议并发送邀请,(2) 日程同步——监听/查询日历变更并同步,(3) 会议背景预置——会前自动拉取相关飞书文档和会议纪要。激活场景:用户提到安排会议、约人开会、查空闲时间、日程协调、会议邀请、预置背景资料、会前准备、查日历、创建日程、发日历邀请等。也适用于自然语言如帮我约张三开会、查一下这周谁有空、下午3点有个会帮我准备资料等请求。通用 Skill,任何 agent 均可调用。依赖飞书日历 v4 API 和飞书文档 API。

ClawHub Agent Skills author: Ricky v1.0.0 MIT-0 4 files · 1 script body ≈ 1 196 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: ~/.openclaw/extensions/openclaw-lark/skills/feishu-calendar/SKILL.md

IntegrationInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: ~/.openclaw/extensions/openclaw-lark/skills/feishu-calendar/SKILL.md
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: 4. 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: ~/.openclaw/extensions/openclaw-lark/skills/feishu-calendar/SKILL.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ~/.openclaw/extensions/openclaw-lark/skills/feishu-calendar/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ~/.openclaw/extensions/openclaw-lark/skills/feishu-calendar/SKILL.md
  • 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
  • 30Running it twice. 7 mutating operations with no state check
  • 100Steps. 49 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1196 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 257: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 49 items
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This Feishu calendar skill mostly matches its scheduling purpose, but it handles sensitive calendar access and tenant tokens with weak scoping and unsafe token caching.
LLM: suspicious (high) · VirusTotal: · 29 May 2026