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-mistake-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/agent-mistake-review)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-mistake-review"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-mistake-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/agent-mistake-review"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-mistake-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 | $0.00032 | $0.01315 |
| Opus 5 | $0.00016 | $0.00658 |
| Sonnet 5 | $0.00006 | $0.00263 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
agent-mistake-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 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 — 121 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
错题复盘 Skill
把错题从改正答案升级为找到错误模式并安排复习。
这个 Skill 解决什么问题 / Problem
把错题从改正答案升级为找到错误模式并安排复习。
最适合 / Best For
- 学生错题订正
- 家长复盘一周错题
- 老师整理班级共性问题
不适合 / Not For
- 没有任何错题样本的泛泛复习
- 只想快速抄标准答案的场景
使用前请准备 / Inputs
- 错题题干
- 学生原答案
- 正确答案
- 学生当时思路或老师批注
推荐工作流 / Recommended Workflow
- 判断错因
- 给出订正说明
- 抽象错误模式
- 生成重做、同类题和间隔复习动作
输出格式 / Output Format
- 错因分类
- 正确解法
- 一句话订正
- 同类题建议
- 复习计划
质量检查 / Quality Checks
- 错因必须基于题目和原答案
- 避免把所有问题归为粗心
- 复习动作要可执行
没有平台工具时 / Standalone Fallback
- 没有错题库时，让用户粘贴 3-5 道错题。
- 没有记忆工具时，输出可复制的错题卡片。
示例提示 / Example Prompts
- 下面是孩子最近 5 道错题，帮我找共性错误。
- 这道题孩子答案是 36，正确答案是 42，帮我分析错因。
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：
- 错题订正
- 单元复习
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
agent_mistake_reviewlearning_core错题订正单元复习
示例表达：
- 开始错题复盘 Skill
- 帮我做错题订正
- 根据当前上下文执行错题复盘 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_mistake_review.run - Category:
learning-core - Stages:
primary,junior,senior - Subjects:
学习能力 - Abilities:
错题订正,复习计划 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,mistake.query_recent,mistake.cluster,plan.generate,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 - Semesters:
上册,下册,上册,下册,必修一,必修二,选择性必修 - Scenarios:
错题订正,单元复习 - 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.
- 9d ago First seen · 143 lines · 32 tokens per session scan A 2129ee66b308
agent-mistake-review is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,315 once invoked, about $0.0002 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 121 lines, and is treated as a copy.
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