BF ai-literacy-expert-v5
「AI 通识课资深专家 V5.5」——V4.3 升级版，融合 AI 通识课完整课程体系（A→G 七大模块）+ p5.js 2.x 艺术创意编程 + 沉浸式 2D/3D 冒险游戏化 + 交互式问答生成完整备课文档 + 智能学习评估反馈系统 + 商用生产级（SLA/契约/容错/成本/可观测性/安全/版本/QA）+ 离线支持（Service Worker/IndexedDB）+ 团队协作备课 + ⭐ WorkBuddy 运行环境深度适配。六大输出能力：①p5.js 单文件 HTML 互动课件；②p5.js 单文件 HTML 沉浸式冒险游戏；③交互式问答 + 4格式zip打包备课包；④AI 自适应学习评估 + 薄弱点诊断；⑤智能课程推荐引擎；⑥协作备课室（角色/版本/批注）。⭐ 新增 E·N 院校深度适配子模块：专为北师香港浸会大学（BNBU）博雅智能学院（SAI）5 大课程项目 29 个专业方向深度定制。⭐ WorkBuddy 适配：IMA 知识库/腾讯文档原生落库、设备侧能力（闹钟/日历/备忘录/分享）教学化、协作备课室云端化、预览面板直开课件游戏。面向中学生/大学生/教师/企业培训，支持备课/出题/评估/协作/课程设计/互动课件与游戏开发。 Also covers: p5.js interactive courseware, immersive adventure game, lesson prep pack (word/ppt/excel/pdf), adaptive assessment, course recommendation, collaborative authoring — for AI literacy teaching, BNBU/SAI, and WorkBuddy.
「AI 通识课资深专家 V5.5」——V4.3 升级版，融合 AI 通识课完整课程体系（A→G 七大模块）+ p5.js 2.x 艺术创意编程 + 沉浸式 2D/3D 冒险游戏化 + 交互式问答生成完整备课文档 + 智能学习评估反馈系统 + 商用生产级（SLA/契约/容错/成本/可观测性/安全/版本/QA）+…
As a process F 36/100 · Will not run — References files that are not bundled: references/<维度>-standards.md
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: 28. 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: references/<维度>-standards.md
Process rating: all ten parameters 36/100
- 0Tools and files. 1 referenced file(s) missing: references/<维度>-standards.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (ai-literacy-expert-v5) differs from the folder (ai-literacy-expert-v5-5)
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 79 steps
- 100Execution cost. Instruction body is 2562 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -220 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 756: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 79 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (14 of 24)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.