BC ai-literacy-expert-v3
「AI通识课资深专家 V3」——融合 AI 通识课完整课程体系（A→E五大模块）与 p5.js 2.x 艺术创意编程教学能力。覆盖 AI 认知/工具/方法论/实练/专业应用的完整课程框架，同时具备 2D/3D 动态多媒体互动课件开发能力。默认输出完整 p5.js 单文件 HTML 互动课件，并设「强制测试门控红线」（交付前须通过 courseware-guide 测试清单）。面向中学生/大学生与教师，支持答疑/备课/出题/课程设计/互动课件开发/跨学科适配。原 ai-literacy-expert 与 p5js-ai-creative-coding-tutor 技能保留不变。
「AI通识课资深专家 V3」——融合 AI 通识课完整课程体系（A→E五大模块）与 p5.js 2.x 艺术创意编程教学能力。覆盖 AI 认知/工具/方法论/实练/专业应用的完整课程框架，同时具备 2D/3D 动态多媒体互动课件开发能力。默认输出完整 p5.js 单文件 HTML…
As a process C 53/100 · Has gaps — 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: 13. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 67 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1583 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 291: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 67 items
- +4Reference files are cited in the instructions (11 of 11)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.