AD auto-grading
智能批改作业——毕业设计/论文多文档自动化审查。触发词："批改作业"、"审查毕业设计"、"毕设审查"、"审查存档"、"智能批改"、上传论文/毕设存档文件或目录。 支持：doc/docx/pdf/pptx 批量读取、多维度评分（内容完整性/格式规范性/逻辑一致性/论证合理性）、跨文档一致性检查（书名词号日期引用）、PPT答辩评审（基本信息/内容结构/视觉美感/观点表达）、GB/T 7714参考文献格式校验。 内置安全护栏：每条问题标注出处文件和置信度，输出前自动执行三问自查（证据可溯源/排除提取噪声/排除文件混淆）——宁可漏报，不可误报。
智能批改作业——毕业设计/论文多文档自动化审查。触发词："批改作业"、"审查毕业设计"、"毕设审查"、"审查存档"、"智能批改"、上传论文/毕设存档文件或目录。 支持：doc/docx/pdf/pptx…
As a process D 42/100 · 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: 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 42/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 75Steps. 3 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 816 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 273: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 2)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.