BF talent-development-plan
编制职业教育专业人才培养方案。面向职业院校的专业带头人、专业负责人实施专业建设等场景。当用户提到人才培养方案编制、专业建设方案、课程体系设计、职教专业规划、专业教学标准应用、职业分析报告整合、中职高职培养方案要求、职业教育课程设置等任务时，自动触发此技能。技能接收用户上传或输入的职业分析报告，预处理并遵循《专业教学标准》，引入国家规定的职业教育公共基础课列表，按内置模板结构生成具有较高参考价值的 docx 文档类型的专业人才培养方案。
编制职业教育专业人才培养方案。面向职业院校的专业带头人、专业负责人实施专业建设等场景。当用户提到人才培养方案编制、专业建设方案、课程体系设计、职教专业规划、专业教学标准应用、职业分析报告整合、中职高职培养方案要求、职业教育课程设置等任务时，自动触发此技能。技能接收用户上传或输入的职业分析报告，预处理并遵循《专业教学标…
As a process F 31/100 · Will not run — References files that are not bundled: images/课程体系架构图.png, references/人才培养方案模板.docx, assets/职业教育专业目录.xlsx
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 4. 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
body-longSKILL.md body ≈ 6057 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: images/课程体系架构图.png - warning
missing-refreference to a missing file: references/人才培养方案模板.docx - warning
missing-refreference to a missing file: assets/职业教育专业目录.xlsx - warning
missing-refreference to a missing file: assets/moe_pdfs_final.json - warning
missing-refreference to a missing file: assets/moe_pdfs_md/ - note
frontmatter-keyunknown frontmatter key "dependency"
Process rating: all ten parameters 31/100
- 0Tools and files. 5 referenced file(s) missing: images/课程体系架构图.png, references/人才培养方案模板.docx, assets/职业教育专业目录.xlsx
- 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
- 30Running it twice. 4 mutating operations with no state check
- 70Execution cost. Instruction body is 6057 tokens
- 100Steps. 164 steps
- 100Consistency. Name and required fields are in place
- low The response is described with custom markup (3 tags): a typed call is more reliable
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
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 219: enough signal without eating the budget
- +4Structure: 41 headings
- +3Step-by-step instructions: 164 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.