BF exam-paper-error-analysis
全学科错题分析技能，提供单题深度分析、整卷失分分析、变式题生成、错题分类讲评四大能力。 支持文字/文件输入（图片、PDF等，PDF自动转图片后使用多模态模型识别，不使用本地OCR）。 覆盖基础教育和职业教育（机电、计算机、会计、护理、汽修、建筑、旅游、电商等）8+专业。 触发场景：上传错题/试卷要求分析、要求出变式题/针对性练习、请求讲评建议或错题分类。 关键词：错题分析、试卷分析、失分地图、变式题、讲评建议、实操分析、实训件、技能考核、考证模拟。
全学科错题分析技能，提供单题深度分析、整卷失分分析、变式题生成、错题分类讲评四大能力。 支持文字/文件输入（图片、PDF等，PDF自动转图片后使用多模态模型识别，不使用本地OCR）。 覆盖基础教育和职业教育（机电、计算机、会计、护理、汽修、建筑、旅游、电商等）8+专业。…
As a process F 35/100 · Will not run — References files that are not bundled: references/error-types.md, references/vocational-standards.md, references/subject-adaptation.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: references/error-types.md - warning
missing-refreference to a missing file: references/vocational-standards.md - warning
missing-refreference to a missing file: references/subject-adaptation.md
Process rating: all ten parameters 35/100
- 0Tools and files. 3 referenced file(s) missing: references/error-types.md, references/vocational-standards.md, references/subject-adaptation.md
- 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
- 100Steps. 79 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2375 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
- -225 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 226: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 79 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.