BC feishu-task-agent
飞书任务总入口技能。用于统一处理四类请求：一是把行动项、交付物、跟进项、拆解请求和周期性请求编排为飞书任务；二是处理未开始任务的轮询筛选与执行；三是处理“飞书任务智能体”明确注册或初始化请求；四是把当前应用内最新日报提炼成 `daily.json`。 当以下情况时使用本 Skill： (1) 用户明确要求创建任务、待办、to-do、跟进项、拆解任务或周期任务 (2) 当前输入来自 `get-agent-unfinished-tasks` 轮询，需要筛选并执行未开始任务 (3) 用户明确提到“飞书任务智能体”且要求注册、`/reg` 或初始化 (4) 用户要求生成、刷新或更新 `daily.json`，或要求从最新日报提炼“近期要点”“明日关注”
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription 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. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 268 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
- +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
- -46 reference files, but SKILL.md never points to them: the model will not open them
- -32 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 327: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 14 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.