BF mistake-assistant
智能错题管理助手,支持错题记录、分类整理、复习提醒、统计分析和导出分享。使用场景:(1) 记录做错的题目(支持手动录入、OCR识别、截图上传)(2) 按科目/知识点/难度分类管理错题 (3) 智能复习提醒(艾宾浩斯遗忘曲线)(4) 分析薄弱知识点和错误趋势 (5) 导出错题本为Markdown/PDF/HTML格式。适用于学生备考、刷题复习、知识巩固等场景。
As a process F 35/100 · Will not run — References files that are not bundled: templates/export_template.md, templates/report_template.html
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.
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: 10. 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: templates/export_template.md - warning
missing-refreference to a missing file: templates/report_template.html
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: templates/export_template.md, templates/report_template.html
- 0Tools and files. 2 referenced file(s) missing: templates/export_template.md, templates/report_template.html
- 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. 41 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 731 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 180: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: suspicious
This study-helper skill is mostly coherent, but it needs review because its file writes are too loosely scoped for a tool that stores and exports private study records.
LLM: suspicious (high) · VirusTotal: · 29 May 2026