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 ielts-prepgit 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/ielts-prep)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/ielts-prep"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/ielts-prep/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/ielts-prep"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/ielts-prep.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 | $0.00063 | $0.01286 |
| Opus 5 | $0.00032 | $0.00643 |
| Sonnet 5 | $0.00013 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00129 |
Grade A, and why
ielts-prep 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
77% identical to adult-vocational-certificate — 113 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.
雅思备考 Skill
把雅思备考从背资料变成听说读写诊断、分项训练、输出反馈和复测节奏。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
把雅思备考从背资料变成听说读写诊断、分项训练、输出反馈和复测节奏。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
- 雅思备考入门或冲刺
- 口语/写作缺少反馈
- 阅读听力正确率不稳定
- 需要按目标分规划练习
不适合 / Not For
- 承诺保分或押题
- 替考或实时考试辅助
- 只背模板不练真实输出
使用前请准备 / Inputs
- 目标分数
- 考试日期
- 当前分项水平
- 薄弱项
- 每天可用时间
推荐工作流 / Recommended Workflow
- 先做四项诊断。
- 按目标分确定优先级。
- 安排听说读写短训练和限时任务。
- 用错误记录决定下一轮复测。
输出格式 / Output Format
- 分项诊断
- 提分优先级
- 7 天训练
- 口语/写作反馈清单
- 复测安排
质量检查 / Quality Checks
- 不能承诺分数
- 必须有输出练习
- 反馈要具体到表达/结构/题型
- 任务量要可坚持
没有平台工具时 / Standalone Fallback
- 没有真题时生成原创练习题型。
- 没有评分器时提供自查标准。
示例提示 / Example Prompts
- 雅思目标 6.5，写作和口语弱，每天 1 小时，帮我安排 14 天。
- 帮我改一段雅思 Task 2 开头，并说明怎么提升。
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：
- 出国考试
适用角色：
- 学习者
调用信号 / Invocation Signals
意图：
ielts_preplanguage_learning出国考试
示例表达：
- 开始雅思备考 Skill
- 帮我做出国考试
- 根据当前上下文执行雅思备考 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
ielts_prep.run - Category:
language-learning - Stages:
college,adult - Subjects:
英语 - Abilities:
听力,口语,阅读理解,写作 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,memory.write - Requires Data:
目标分数,考试日期,当前分项水平,薄弱项,每天可用时间 - 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:
出国考试 - 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.
- 9d ago First seen · 143 lines · 63 tokens per session scan A 9d1418486571
ielts-prep is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 1,286 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to adult-vocational-certificate, differing in 113 lines, and is treated as a copy.
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