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 primary-final-reviewgit 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/primary-final-review)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/primary-final-review"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/primary-final-review/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/primary-final-review"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/primary-final-review.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 | $0.01904 |
| Opus 5 | $0.00036 | $0.00952 |
| Sonnet 5 | $0.00014 | $0.00381 |
| Haiku 4.5 | $0.00007 | $0.00190 |
Grade A, and why
primary-final-review 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.
This is a copy
78% identical to adult-vocational-certificate — 130 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
小学期末复习 Skill
把小学期末备考从“泛泛刷题”变成诊断、提分优先级、限时训练、错题复盘和下次复测的闭环，帮助用户知道现在最该抓什么、每天怎么练、怎么判断有没有进步。
这个 Skill 解决什么问题 / Problem
把小学期末备考从“泛泛刷题”变成诊断、提分优先级、限时训练、错题复盘和下次复测的闭环，帮助用户知道现在最该抓什么、每天怎么练、怎么判断有没有进步。
最适合 / Best For
- 准备小学期末但不知道从哪里开始
- 分数或正确率卡住，需要找出最值得先提分的模块
- 需要把错题、薄弱点和复习计划连成一个可执行节奏
- 独立 Hermes Agent 用户搭建考试复习助手或题库前端
不适合 / Not For
- 押题、包过、泄露考试内容或替考作弊
- 要求复刻官方真题或受版权保护的试卷原文
- 只想要宏观鸡汤式计划，不愿提供当前水平、错题或可用时间
- 只写宏观计划，不落到题型、错因和复测动作
使用前请准备 / Inputs
- 考试目标和考试日期
- 当前年级/基础水平/最近分数或正确率
- 薄弱模块或最近 3-5 道错题
- 每天可用时间和每周可学习天数
- 希望训练方式：诊断、专项、限时、整卷、错题复盘、考前冲刺
- 可选：目标分数、使用教材/地区/考试版本、是否需要家长或老师视角
推荐工作流 / Recommended Workflow
- 先确认考试目标、剩余时间、当前水平和每天可用时间；缺关键项时只追问最必要的信息。
- 先用最近成绩、错题和自评找出最值得先提分的模块，给出 1-3 个最优先提分点。
- 按目标分解、薄弱诊断、复习节奏、错题闭环和考场策略设计复习路径，区分保分项、突破项和放弃/降权项。
- 按高频薄弱点、限时训练、错题追练和整卷节奏安排任务，每个任务都标注时长、题量、难度和完成标准。
- 把错题变成错因、同类题、复测时间和考前提醒，把每次训练转成错因卡片、同类追练和下次复测时间。
- 最后输出今天立刻能做的第一步，并提醒用户下一次反馈什么数据。
输出格式 / Output Format
- 备考定位
- 诊断结论
- 提分优先级
- 今日/本周任务
- 限时训练方案
- 错题复盘表
- 下次复测安排
质量检查 / Quality Checks
- 不能承诺押题命中、保过或替代正式考试评价。
- 训练任务要匹配剩余时间和当前水平，不能把计划排满到无法执行。
- 输出要能落实到每天做什么、做多久、怎么检查效果
- 错题复盘必须包含错因、订正、同类题、复测时间，而不是只给正确答案。
- 没有真题授权时，只能生成原创题或基于用户提供题目做解析。
没有平台工具时 / Standalone Fallback
- 没有题库时，让用户粘贴错题或最近试卷摘要，并生成原创训练题。
- 没有成绩数据时，用“最近正确率/自评强弱/最怕题型”做轻量诊断。
- 没有日历工具时，输出可复制到日历或待办工具的复习清单。
示例提示 / Example Prompts
- 小学期末，我现在是一年级，还有14 天，每天 45 分钟，帮我做提分计划。
- 小学期末复习，最近时间不多，很多知识点都觉得不稳，不知道先抓哪里，请先诊断再安排 7 天专项训练。
- 下面是我最近 5 道错题，请按小学期末要求做错因分类、同类追练和复测安排。
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：
- 期中期末复习
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
primary_final_reviewexam_prep期中期末复习
示例表达：
- 开始小学期末复习 Skill
- 帮我做期中期末复习
- 根据当前上下文执行小学期末复习 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
primary_final_review.run - Category:
exam-prep - Stages:
primary - Subjects:
综合 - Abilities:
考试复习 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,plan.generate,memory.write - Requires Data:
考试目标和日期,当前分数/正确率/水平,薄弱模块或最近错题,每天可用时间,训练方式：诊断/专项/限时/整卷/错题复盘 - Export Mode:
installable - Release Channel:
recommended
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 · 154 lines · 71 tokens per session scan A 8e8b4fec4665
primary-final-review 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 1,904 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to adult-vocational-certificate, differing in 130 lines, and is treated as a copy.
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