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BD 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”

ClawHub Agent Skills author: terry v1.0.0 MIT-0 16 files body ≈ 268 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
49/100
Unfinished process
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
This is a copy of a skill from another catalog; the rating counts the canonical one: feishu-task-agent (ClawHub)

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: 16. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (feishu-task-agent) differs from the folder (feishu-task-agent-alpha)
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 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.

External checks

ClawHub: suspicious
This Feishu task skill mostly matches its stated purpose, but it can install ongoing automations and change future agent routing and scheduler behavior, so it should be reviewed before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026