BD 错题整理巩固
支持学生上传任意学科错题截图、试卷照片或粘贴题目文本，基于真实作答智能整理错题，识别题目科目和题型，定位并区分概念模糊、知识点遗漏、计算或操作失误、审题偏差、推理断点、方法选择不当、表达不规范等错误根因，拆解核心知识点并给出巩固建议。也用于在灵犀 AI 助手本地错题本中保存、更新、检索错题；用户明确要求保存或更新时直接写入，未要求保存时先询问确认，再按科目、题型和日期分类整理，统计高频错误类型和制作错题复盘记录。不要主动生成举一反三练习题或额外训练题。
支持学生上传任意学科错题截图、试卷照片或粘贴题目文本，基于真实作答智能整理错题，识别题目科目和题型，定位并区分概念模糊、知识点遗漏、计算或操作失误、审题偏差、推理断点、方法选择不当、表达不规范等错误根因，拆解核心知识点并给出巩固建议。也用于在灵犀 AI…
As a process D 49/100 · Unfinished process — 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.
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (错题整理巩固) differs from the folder (mistake-analysis-and-transfer)
- 100Tools and files. No external tools needed
- 100Steps. 76 steps
- 100Execution cost. Instruction body is 1564 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 228: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 76 items
- +4Has examples (5 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.