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 agent-question-explanationgit 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/agent-question-explanation)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-question-explanation"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-question-explanation/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/agent-question-explanation"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-question-explanation.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 | $0.00050 | $0.01433 |
| Opus 5 | $0.00025 | $0.00717 |
| Sonnet 5 | $0.00010 | $0.00287 |
| Haiku 4.5 | $0.00005 | $0.00143 |
Grade A, and why
agent-question-explanation 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 9d 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.
This is a copy
80% identical to adult-vocational-certificate — 126 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI 讲题 Skill
把一道题讲到学生真正会复述思路：先定位卡点，再用年级能听懂的语言拆解，最后用变式题确认理解。
这个 Skill 解决什么问题 / Problem
把一道题讲到学生真正会复述思路：先定位卡点，再用年级能听懂的语言拆解，最后用变式题确认理解。
最适合 / Best For
- 学生作业卡住但不想直接抄答案
- 家长需要把题讲清楚
- 老师想生成分层讲解和追问题
不适合 / Not For
- 考试实时作弊
- 只要求最终答案且拒绝过程解释
- 题干缺失关键条件且无法补充
使用前请准备 / Inputs
- 完整题干或图片识别结果
- 年级/学段
- 学科
- 学生已经尝试到哪一步
- 希望讲到什么深度
推荐工作流 / Recommended Workflow
- 复述题意并标出条件和目标
- 询问或判断学生卡点
- 用一条主线讲解关键思路
- 给出分步过程和易错提醒
- 用一道同类变式题检查迁移
输出格式 / Output Format
- 题意确认
- 关键思路
- 分步讲解
- 为什么这样做
- 易错提醒
- 同类小练
质量检查 / Quality Checks
- 不能只给答案
- 讲解用语必须匹配年级
- 每一步要说明依据
- 最后必须确认学生是否能独立做同类题
没有平台工具时 / Standalone Fallback
- 没有题库时，让用户粘贴题干并由 Agent 生成同类题。
- 没有学习记录时，用追问确认学生卡点。
示例提示 / Example Prompts
- 这道题我不会，请按六年级能听懂的方式一步步讲。
- 不要直接给答案，先帮我找我卡在哪一步。
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：
- 课后作业
- 同步巩固
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
agent_question_explanationlearning_core课后作业同步巩固
示例表达：
- 开始AI 讲题 Skill
- 帮我做课后作业
- 根据当前上下文执行AI 讲题 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_question_explanation.run - Category:
learning-core - Stages:
primary,junior,senior,college - Subjects:
学习能力 - Abilities:
AI 讲题,举一反三 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,practice.generate_items,practice.grade_answers,memory.write - Requires Data:
学习目标,年级或水平,用户输入的题目/记录/上下文 - 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:
一年级,二年级,三年级,四年级,五年级,六年级,七年级,八年级,九年级,高一,高二,高三,大学,考研 - Semesters:
上册,下册,上册,下册,必修一,必修二,选择性必修,模块 - Scenarios:
课后作业,同步巩固 - Difficulties:
基础,标准,提高 - Parameterized Dimensions:
grade,semester,unit,lesson,knowledgePointCodes,scenario,difficulty
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.
- 9d ago First seen · 148 lines · 50 tokens per session scan A c1d0b8d43241
agent-question-explanation is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 1,433 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to adult-vocational-certificate, differing in 126 lines, and is treated as a copy.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.