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-focus-traininggit 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-focus-training)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-focus-training"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-focus-training/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-focus-training"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-focus-training.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 | $0.00044 | $0.01285 |
| Opus 5.5 | $0.00018 | $0.00514 |
| Sonnet 5.5 | $0.00009 | $0.00257 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
agent-focus-training 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 1mo 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
81% identical to adult-vocational-certificate — 118 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
专注力训练 Skill
把“孩子不专心”拆成可观察的学习环境、任务长度和反馈节奏，生成能立刻执行的专注训练方案。
这个 Skill 解决什么问题 / Problem
把“孩子不专心”拆成可观察的学习环境、任务长度和反馈节奏，生成能立刻执行的专注训练方案。
最适合 / Best For
- 写作业拖拉
- 短时学习容易走神
- 家长想建立可持续的学习节奏
不适合 / Not For
- 医学诊断或替代专业评估
- 用惩罚、羞辱或过度监控来压学生学习
使用前请准备 / Inputs
- 年龄/年级
- 当前最容易分心的场景
- 一次可专注时长
- 学习任务类型
- 家庭可执行的规则
推荐工作流 / Recommended Workflow
- 识别分心触发点
- 把任务切成 5-25 分钟小段
- 设计开始仪式和结束反馈
- 设置低压力记录方式
- 一周后根据记录调整
输出格式 / Output Format
- 专注画像
- 今日训练流程
- 环境调整清单
- 家长提示语
- 一周跟踪表
质量检查 / Quality Checks
- 避免贴标签
- 任务时长要现实
- 反馈要正向具体
- 必须给出可观察指标
没有平台工具时 / Standalone Fallback
- 没有计时工具时，输出手动打勾表。
- 没有历史数据时，从今天一次学习任务开始记录。
示例提示 / Example Prompts
- 三年级写作业 10 分钟就走神，帮我设计今晚的专注训练。
- 孩子复习英语总拖拉，给我一个不吵架的执行方案。
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
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
agent_focus_traininglearning_core每日打卡
示例表达：
- 开始专注力训练 Skill
- 帮我做每日打卡
- 根据当前上下文执行专注力训练 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_focus_training.run - Category:
learning-core - Stages:
primary,junior,senior - Subjects:
学习能力 - Abilities:
专注 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,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:
每日打卡 - 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.
- 1mo ago First seen · 144 lines · 44 tokens per session scan A 11cfc356027d
agent-focus-training is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (122 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,285 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 81% identical to adult-vocational-certificate, differing in 118 lines, and is treated as a copy.
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