AC cet-exam-trainer
专业四六级英语备考助手，专注四级、六级英语刷题训练。功能包括：(1) 单词互测模式：输出英文单词让用户回复中文意思；(2) 中文默写单词模式：输入中文释义让用户填写英文单词；(3) 语法时态填空训练：针对四六级常考时态出题；(4) 短句翻译练习：中译英训练；(5) 错题复盘：汇总之前答错的题目快速回顾。触发关键词：单词听写、中文猜单词、语法时态刷题、短句翻译、复盘错题、结束训练、四六级备考、英语刷题。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 6. 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. 37 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 530 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 202: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
This looks like a study-helper skill with low-impact local study tracking, not a malicious or high-risk integration.
LLM: benign (medium) · 28 May 2026