SKILLEMALL.ai
RU Sign in

AD openclaw-timebox-cpr

基于潘农菲翻译的《时间盒》，为 OpenClaw 打造的全天任务执行系统。早晨用一段对话规划全天、讨论优先级、锁定时间盒；执行时 AI 完全不打扰；每盒结束做 30 秒快速收集；全天结束生成每日总结并自动同步到 Flomo、Notion 等工具。支持苹果日历、飞书、Google 日历自动占位，以及将时间盒任务双向同步到滴答清单（TickTick）。触发词："时间盒"、"timebox"、"开始今天的规划"、"帮我规划任务"、"start timebox"、"task planning"。

ClawHub Agent Skills author: Vincent ZHANG v2.7.0 MIT-0 4 files body ≈ 4 559 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 37/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureNotionInfrastructuretype 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
37/100
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

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: 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")

Process rating: all ten parameters 37/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (openclaw-timebox-cpr) differs from the folder (openclaw-timebox)
  • 60Tools and files. Uses tools (python, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4559 tokens
  • 100Steps. 70 steps
  • low 10 top-level sections: this looks like several domains in one skill

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (40 code blocks)

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

External checks

ClawHub: clean
This skill is a disclosed productivity workflow that keeps local work logs and can optionally sync calendars, notes, and TickTick/Dida tasks.
LLM: benign (high) · VirusTotal: · 29 May 2026