BF textbook-virtual-simulator
教材虚拟仿真系统生成器，支持多种教材格式（文本/PDF/JSON）转换为交互式教育仿真 Web 应用。 能够生成3D场景、交互式组件、数据分析功能，适用于教育实验、操作培训、知识图谱等多种仿真类型。 当用户提出以下意图时触发：创建教材仿真、生成虚拟实验、构建教学模拟、制作教育3D场景、 教材可视化、交互式教学应用、仿真教学系统等。
教材虚拟仿真系统生成器，支持多种教材格式（文本/PDF/JSON）转换为交互式教育仿真 Web 应用。 能够生成3D场景、交互式组件、数据分析功能，适用于教育实验、操作培训、知识图谱等多种仿真类型。 当用户提出以下意图时触发：创建教材仿真、生成虚拟实验、构建教学模拟、制作教育3D场景、…
As a process F 35/100 · Will not run — References files that are not bundled: assets/3d-templates/, assets/interactive-components/
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: 14. 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: assets/3d-templates/ - warning
missing-refreference to a missing file: assets/interactive-components/ - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 2 referenced file(s) missing: assets/3d-templates/, assets/interactive-components/
- 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. 47 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 836 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
- +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 166: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 47 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 5 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.