AC tianshu-vocab-plan
根据词表（每行一词或短语）生成本地课表式的复习计划：第几天学新词、第几天回顾（简化艾宾浩斯：+1,+2,+4,+7,+15 天）。 Use when: 背单词、考前词汇突击；用户说「复习计划」「词表排期」「间隔复习」。 NOT for: 内置背单词 App 联动；精细到分钟的提醒。
As a process C 50/100 · Has gaps — weak spots: steps, inputs and preconditions, failures and branches
How to improve
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 50/100
- 0Steps. Prose only: no discrete steps
- 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
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 100 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
- +5Description has no quoted example phrases that should trigger the skill
- +3No numbered steps or checklist
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 141: enough signal without eating the budget
- +4Structure: 4 headings
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.
External checks
ClawHub: clean
This is a local vocabulary schedule generator that only reads the word-list file the user provides and prints a Markdown study plan.
LLM: benign (high) · VirusTotal: · 29 May 2026