AC task-planner
当用户面临过多待办、想法杂乱或不知道从何开始时使用此技能——将一团乱麻梳理成按优先级排序、贴合精力节奏的每日行动清单。触发场景包括：用户说“帮我理一下”、“怎么排优先级”、“拆一下这个目标”、“做一次规划”，或者只是丢出一堆任务等待整理。不适用于：单条待办的增删改查（用 todo-list）或单个复杂任务的工具执行方案（用 task-plan-generator）。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
GeneratorInfrastructurePersonal productivitytype and topics are labelled automatically from the skill text
How to improve
- 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: 12. 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. 67 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1757 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
- -5TODO / placeholder text left in the skill
- -222 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 184: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: clean
This is a coherent Chinese-language task planning skill with no executable code, network behavior, credential handling, or hidden destructive actions.
LLM: benign (high) · VirusTotal: · 9 Jul 2026