SKILLEMALL.ai

BB todo-momentum

3 分钟启动器:把拖延待办、卡住任务、模糊目标、项目/家务/习惯拆成下一步物理动作、3 分钟启动、5 分钟扩展、今日算赢标准和断了以后的回归脚本。适合反拖延、每日执行、任务拆解、低能量启动和轻量 check-in。

ClawHub Agent Skills author: haidong v0.2.0 MIT-0 6 files body ≈ 1 415 tokens Open the sourceclawhub.ai analyzed 2 d ago

3 分钟启动器:把拖延待办、卡住任务、模糊目标、项目/家务/习惯拆成下一步物理动作、3 分钟启动、5 分钟扩展、今日算赢标准和断了以后的回归脚本。适合反拖延、每日执行、任务拆解、低能量启动和轻量 check-in。

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

ProcedurePeople and hiringPersonal productivityAI 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%
71
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 6. 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 75/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 48 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1415 tokens
  • 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 107: 120–800 characters recommended
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 48 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This is a plain productivity coaching skill that gives small next steps for stuck tasks and does not request code execution, credentials, persistence, or hidden data access.
LLM: benign (high) · VirusTotal: · 19 Jun 2026