BF ai-literacy-expert-v4.3
「AI 通识课资深专家 V4.3」——V4 升级版，融合 AI 通识课完整课程体系（A→E 五大模块）+ p5.js 2.x 艺术创意编程 + 沉浸式 2D/3D 冒险游戏化（得分/等级反映学习效果）+ 交互式问答生成完整备课文档（含 excel/word/ppt/pdf 一键 zip 打包）+ 全面商用生产级（SLA / 契约 / 容错 / 成本 / 可观测性 / 安全 / 版本 / QA）。三大输出能力：①p5.js 单文件 HTML 互动课件；②p5.js 单文件 HTML 沉浸式冒险游戏（A/B/C/D 深度适配）；③交互式问答 + 一键 zip 打包生成 AI 教学完整备课文档包。面向中学生/大学生与教师，支持答疑/备课/出题/课程设计/互动课件与游戏开发/跨学科适配。V3/V4 完整保留，本技能为 V4 增强版（V4.3）。
「AI 通识课资深专家 V4.3」——V4 升级版，融合 AI 通识课完整课程体系（A→E 五大模块）+ p5.js 2.x 艺术创意编程 + 沉浸式 2D/3D 冒险游戏化（得分/等级反映学习效果）+ 交互式问答生成完整备课文档（含 excel/word/ppt/pdf 一键 zip 打包）+…
As a process F 31/100 · 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: 16. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - 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 31/100
- 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
- 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
- 40Consistency. Frontmatter name (ai-literacy-expert-v4.3) differs from the folder (ai-literacy-expert-v4)
- 100Steps. 36 steps
- 100Execution cost. Instruction body is 989 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 373: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 36 items
- +4Reference files are cited in the instructions (6 of 14)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.