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 senior-physics-quick-practicegit 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/senior-physics-quick-practice)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/senior-physics-quick-practice"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/senior-physics-quick-practice/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/senior-physics-quick-practice"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/senior-physics-quick-practice.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 | $0.00079 | $0.01551 |
| Opus 5 | $0.00039 | $0.00776 |
| Sonnet 5 | $0.00016 | $0.00310 |
| Haiku 4.5 | $0.00008 | $0.00155 |
Grade A, and why
senior-physics-quick-practice 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
高中物理快速巩固 Skill
把高中物理每日打卡做成 10-15 分钟可坚持、可反馈、可复现的短训练。重点不是多刷题，而是围绕概念辨析、模型条件、图像/实验信息和推理步骤形成当天闭环。
这个 Skill 解决什么问题 / Problem
把高中物理每日打卡做成 10-15 分钟可坚持、可反馈、可复现的短训练。重点不是多刷题，而是围绕概念辨析、模型条件、图像/实验信息和推理步骤形成当天闭环。
最适合 / Best For
- 高中物理每日打卡
- 物理同步巩固
- 课后短练
- 错题后的同类回练
- 适合初高中物理课后 15 分钟模型巩固
不适合 / Not For
- 一次性刷大量题目
- 只给答案不记录错因
- 替代系统课程学习
- 直接套公式，忽略条件、图像和实验语境
使用前请准备 / Inputs
- 年级/水平
- 今天要练的单元或知识点
- 可用时间
- 最近错题或薄弱点
- 使用场景：学生自练、家长陪练或老师布置
推荐工作流 / Recommended Workflow
- 先确认今日目标、时间和难度，只练一个小目标。
- 先让学生说出现象、条件和要判断的物理量
- 用概念判断、模型选择、图像读取和一题一模型短练组成训练
- 反馈要指出公式适用条件和物理意义
- 把错题对应模型写成一张复习卡，下次换情境再测
输出格式 / Output Format
- 今日目标
- 热身回想
- 短练题组
- 答案与讲解
- 错因标签
- 下次复习
质量检查 / Quality Checks
- 题量必须匹配 10-15 分钟
- 先让学生尝试再讲解
- 反馈必须包含错因
- 必须留下下一次复习动作
没有平台工具时 / Standalone Fallback
- 没有题库时，由 Agent 生成原创短练并附答案。
- 没有学习记录时，用用户提供的错题或薄弱点开始。
- 没有计时工具时，输出可手动执行的三轮练习表。
示例提示 / Example Prompts
- 高中物理今天练同步巩固，只有 15 分钟，帮我安排。
- 孩子物理最近错在同步巩固，先诊断再做 5 道短练。
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：
- 每日打卡
- 同步巩固
适用角色：
- 学习者
- 老师
调用信号 / Invocation Signals
意图：
senior_physics_quick_practicedaily_practice每日打卡同步巩固
示例表达：
- 开始高中物理快速巩固 Skill
- 帮我做每日打卡
- 根据当前上下文执行高中物理快速巩固 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
senior_physics_quick_practice.run - Category:
daily-practice - Stages:
senior - Subjects:
物理 - Abilities:
同步巩固,专项训练 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,memory.write - Requires Data:
年级/水平,今日知识点或单元,可用时间,最近错题或薄弱点,使用场景：学生自练/家长陪练/老师布置 - 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:
高一,高二,高三 - Semesters:
必修一,必修二,选择性必修 - Scenarios:
每日打卡,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.
- 12d ago First seen · 151 lines · 79 tokens per session scan A 6607a544077f
senior-physics-quick-practice is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (93 stars, last pushed 3mo ago), licensed MIT. It adds 79 tokens to every session and 1,551 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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