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-cs-algorithm-interviewgit 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-cs-algorithm-interview)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/college-cs-algorithm-interview"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/college-cs-algorithm-interview/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-cs-algorithm-interview"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/college-cs-algorithm-interview.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 | $0.00071 | $0.01294 |
| Opus 5 | $0.00036 | $0.00647 |
| Sonnet 5 | $0.00014 | $0.00259 |
| Haiku 4.5 | $0.00007 | $0.00129 |
Grade A, and why
college-cs-algorithm-interview 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.
算法面试 Skill
把算法面试准备从盲目刷题变成题型识别、思路表达、复杂度分析和复盘沉淀。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
把算法面试准备从盲目刷题变成题型识别、思路表达、复杂度分析和复盘沉淀。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
- 准备实习/校招/社招算法面试
- 刷题很多但面试表达不稳
- 需要按题型建立模板和复盘
- 独立 Hermes Agent 用户做面试训练助手
不适合 / Not For
- 在线面试作弊或实时替答
- 只要答案不练讲解
- 追求刷题数量忽略复盘
使用前请准备 / Inputs
- 目标岗位
- 熟悉语言
- 当前刷题水平
- 薄弱题型
- 面试时间线
推荐工作流 / Recommended Workflow
- 先诊断题型和弱项。
- 用一道代表题训练读题、暴力解、优化和讲解。
- 要求用户复述思路。
- 沉淀题型模板和下次复测题。
输出格式 / Output Format
- 面试目标
- 题型诊断
- 解题框架
- 代码要点
- 复杂度分析
- 复盘卡片
质量检查 / Quality Checks
- 不能用于实时作弊
- 必须训练口头表达
- 必须包含复杂度和边界条件
- 复盘要能迁移到同类题
没有平台工具时 / Standalone Fallback
- 没有在线判题时，输出手动测试用例。
- 没有题目时生成原创同类练习。
示例提示 / Example Prompts
- 我准备前端实习算法面试，双指针很弱，请给我 7 天训练。
- 这道题我会写但讲不清，帮我整理面试表达。
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：
- 面试准备
适用角色：
- 学习者
调用信号 / Invocation Signals
意图：
college_cs_algorithm_interviewcareer_learning面试准备
示例表达：
- 开始算法面试 Skill
- 帮我做面试准备
- 根据当前上下文执行算法面试 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
college_cs_algorithm_interview.run - Category:
career-learning - Stages:
college,adult - Subjects:
计算机 - Abilities:
算法 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,memory.write - Requires Data:
目标岗位,熟悉语言,当前刷题水平,薄弱题型,面试时间线 - 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:
面试准备 - 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。
如果你有自己的工具、记忆、课程数据或 workflow runner，可以把它们与本 Skill 组合使用。如果没有外部工具，也可以直接使用上面的说明来引导对话，生成有用的学习或教学反馈。
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 · 71 tokens per session scan A 2d1335447c29
college-cs-algorithm-interview is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 71 tokens to every session and 1,294 once invoked, about $0.0004 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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