Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add hezkvectory/hermes-edu-skills --skill college-ai-foundationgit clone --depth 1 https://github.com/hezkvectory/hermes-edu-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/college-ai-foundation)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/college-ai-foundation"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/college-ai-foundation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/college-ai-foundation"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/college-ai-foundation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.01275 |
| Opus 5 | $0.00032 | $0.00638 |
| Sonnet 5 | $0.00013 | $0.00255 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
college-ai-foundation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 基础 Skill
把 AI 基础学习从热词堆砌变成概念地图、可运行小实验、产品场景和伦理边界。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。
这个 Skill 解决什么问题 / Problem
把 AI 基础学习从热词堆砌变成概念地图、可运行小实验、产品场景和伦理边界。核心不是再推荐一堆资料，而是让用户今天能完成一个可检查的小成果。
最适合 / Best For
- 大学生或成人入门 AI
- 非技术人员理解 AI 产品
- 想做 AI 应用原型
- 需要从概念走到小实验
不适合 / Not For
- 夸大 AI 能力或制造伪科学结论
- 跳过基础直接承诺做复杂模型
- 生成违法或高风险自动化方案
使用前请准备 / Inputs
- 学习背景
- 想理解的 AI 方向
- 是否会编程
- 希望做的应用场景
- 每周可用时间
推荐工作流 / Recommended Workflow
- 先画 AI 概念地图。
- 选一个小实验连接概念和现象。
- 解释模型、数据、评估和风险。
- 最后转成一个可做的应用原型任务。
输出格式 / Output Format
- 概念地图
- 小实验
- 关键术语
- 应用场景
- 风险边界
- 下一步项目
质量检查 / Quality Checks
- 避免神化 AI
- 必须讲清数据和评估
- 给出可运行或可观察的小实验
- 包含伦理和安全边界
没有平台工具时 / Standalone Fallback
- 不会编程时用可视化/无代码实验。
- 没有数据时用公开示例或概念实验。
示例提示 / Example Prompts
- 我想从零理解大模型和 Agent，请给我 4 周学习路线。
- 帮我设计一个 AI 教育应用小原型的学习计划。
适用场景 / When To Use
当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时，可以使用这个 Skill。
最适合的场景：
- 兴趣学习
适用角色：
- 学习者
调用信号 / Invocation Signals
意图：
college_ai_foundationcareer_learning兴趣学习
示例表达：
- 开始AI 基础 Skill
- 帮我做兴趣学习
- 根据当前上下文执行AI 基础 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
college_ai_foundation.run - Category:
career-learning - Stages:
college,adult - Subjects:
计算机 - Abilities:
AI 基础 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,memory.write - Requires Data:
学习背景,想理解的 AI 方向,是否会编程,希望做的应用场景,每周可用时间 - Export Mode:
installable - Release Channel:
recommended
成熟度备注：
- 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。
参数化使用 / Parameters
这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。
- Grades:
大学,考研 - Semesters:
模块,模块 - Scenarios:
兴趣学习 - Difficulties:
基础,标准,提高 - Parameterized Dimensions:
grade,semester,unit,lesson,knowledgePointCodes,scenario,difficulty
独立 Hermes 使用方式 / Standalone Hermes Usage
这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 144 lines · 65 tokens per session scan A 08dd3c971dad
college-ai-foundation is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 1,275 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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