BF knowledge-graph-extractor
从PDF/Word文档提取6级以上层次化知识节点，标注节点类型与语义关系，输出可导入超星在线课程的CSV/Excel文件（支持最高7级）。触发场景：用户需要从文档抽取知识点、构建知识图谱、生成结构化教学数据、导出知识点层级关系。关键词：知识图谱、知识节点、知识树、教学大纲、课程标准、知识点抽取、层次化知识
从PDF/Word文档提取6级以上层次化知识节点，标注节点类型与语义关系，输出可导入超星在线课程的CSV/Excel文件（支持最高7级）。触发场景：用户需要从文档抽取知识点、构建知识图谱、生成结构化教学数据、导出知识点层级关系。关键词：知识图谱、知识节点、知识树、教学大纲、课程标准、知识点抽取、层次化知识
As a process F 31/100 · Will not run — References files that are not bundled: examples/template-knowledge-graph.xlsx, examples/example-curriculum-office-software.pdf
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: 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") - warning
missing-refreference to a missing file: examples/template-knowledge-graph.xlsx - warning
missing-refreference to a missing file: examples/example-curriculum-office-software.pdf
Process rating: all ten parameters 31/100
- 0Tools and files. 2 referenced file(s) missing: examples/template-knowledge-graph.xlsx, examples/example-curriculum-office-software.pdf
- 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 (knowledge-graph-extractor) differs from the folder (knowledge-graph-extraction-skill)
- 100Steps. 36 steps
- 100Execution cost. Instruction body is 2506 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
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 153: enough signal without eating the budget
- +4Structure: 43 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (14 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.