SKILLEMALL.ai

BF vocational-report-generator

职业教育专业/专业群调研报告与可行性分析报告生成。支持常规性专业调研(7章)和双高专业群建设调研分析(10章),输出MD+HTML双格式。触发条件:用户请求撰写职业教育领域的专业调研报告、人才需求调研、专业建设可行性分析、双高申报材料,或提到"帮我调研一下XX专业""XX专业就业怎么样""专业群可行性""写份XX的调研报告"等涉及职教专业建设决策的口语化请求。不适用于非职业教育领域的行业调研、学术论文撰写或简单的信息搜集。

ClawHub Agent Skills author: flyboat403 v0.1.0 MIT-0 2 files body ≈ 2 383 tokens Open the sourceclawhub.ai analyzed 2 d ago

职业教育专业/专业群调研报告与可行性分析报告生成。支持常规性专业调研(7章)和双高专业群建设调研分析(10章),输出MD+HTML双格式。触发条件:用户请求撰写职业教育领域的专业调研报告、人才需求调研、专业建设可行性分析、双高申报材料,或提到"帮我调研一下XX专业""XX专业就业怎么样""专业群可行性""写份XX的调…

As a process F 35/100 · Will not run — References files that are not bundled: references/feasibility-framework.md, references/majors_report_structor.md, references/report-templates.md

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/feasibility-framework.md, references/majors_report_structor.md, references/report-templates.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/feasibility-framework.md
  • warning missing-ref reference to a missing file: references/majors_report_structor.md
  • warning missing-ref reference to a missing file: references/report-templates.md
  • warning missing-ref reference to a missing file: scripts/md_to_html.py
  • warning missing-ref reference to a missing file: examples/数字媒体技术专业调研报告.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/feasibility-framework.md, references/majors_report_structor.md, references/report-templates.md
  • 0Tools and files. 5 referenced file(s) missing: references/feasibility-framework.md, references/majors_report_structor.md, references/report-templates.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. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2383 tokens
  • 100Running it twice. No mutating operations
  • 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

  • +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
  • +5Description quotes 4 example trigger phrases
  • +3Description length 213: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
The skill is a coherent report generator, but it requires running an unverified local Python conversion script that may be found by searching the workspace.
LLM: suspicious (high) · VirusTotal: · 9 Jul 2026