SKILLEMALL.ai

AC feishu-automation

每天在飞书上重复操作太浪费时间?消息定时推送、日报自动生成、多维表格批量操作、审批流程配置——一个技能把这些飞书日常全部自动化,支持Cron定时,设好就不用管了。 触发词:飞书自动化、飞书消息推送、飞书多维表格、飞书日报、飞书审批、飞书日历、lark自动化 排除:飞书开发(用lark_cli)、飞书机器人创建、非飞书平台操作

ClawHub Agent Skills author: qqyougitcom v1.3.0 MIT-0 3 files body ≈ 161 tokens Open the sourceclawhub.ai analyzed 2 d ago

每天在飞书上重复操作太浪费时间?消息定时推送、日报自动生成、多维表格批量操作、审批流程配置——一个技能把这些飞书日常全部自动化,支持Cron定时,设好就不用管了。 触发词:飞书自动化、飞书消息推送、飞书多维表格、飞书日报、飞书审批、飞书日历、lark自动化…

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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 · 0

✓ No critical or high findings

Files scanned: 0. 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 57/100

  • 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-automation) differs from the folder (mimo-feishu-automation)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 161 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 163: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 17 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a Feishu automation documentation skill with broad but disclosed API examples; it has privacy and token-handling cautions but no hidden execution or malicious behavior.
LLM: benign (high) · VirusTotal: · 18 Jun 2026