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-chinese-dictation-dailygit 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-chinese-dictation-daily)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/primary-chinese-dictation-daily"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/primary-chinese-dictation-daily/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-chinese-dictation-daily"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/primary-chinese-dictation-daily.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 | $0.00046 | $0.01312 |
| Opus 5.5 | $0.00018 | $0.00525 |
| Sonnet 5.5 | $0.00009 | $0.00262 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
primary-chinese-dictation-daily 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
小学语文字词听写 Skill
把生字词听写做成“会读、会写、会用、会订正”的每日小闭环。
这个 Skill 解决什么问题 / Problem
把生字词听写做成“会读、会写、会用、会订正”的每日小闭环。
最适合 / Best For
- 小学语文字词听写
- 家长晚间陪练
- 老师布置词语巩固
- 易错字订正
不适合 / Not For
- 一次性听写整册词语
- 只机械抄写不理解词义
使用前请准备 / Inputs
- 年级
- 课文或单元
- 词语清单
- 易错字
- 希望题量
推荐工作流 / Recommended Workflow
- 筛选今日词语
- 先读音和词义
- 生成听写顺序
- 给订正方式
- 用短句检查会用
输出格式 / Output Format
- 今日词表
- 听写步骤
- 订正规则
- 造句小练
- 家长反馈话术
质量检查 / Quality Checks
- 词量不能过多
- 必须包含订正方法
- 易错字要单独提醒
- 避免无意义罚抄
没有平台工具时 / Standalone Fallback
- 没有教材词库时，让用户粘贴词语表。
- 没有语音工具时，输出家长朗读脚本。
示例提示 / Example Prompts
- 三年级语文第 5 课，帮我做 15 个词的听写流程。
- 这些词孩子总写错，帮我安排订正和造句。
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：
- 听写默写
- 每日打卡
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
primary_chinese_dictation_dailydaily_practice听写默写每日打卡
示例表达：
- 开始小学语文字词听写 Skill
- 帮我做听写默写
- 根据当前上下文执行小学语文字词听写 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
primary_chinese_dictation_daily.run - Category:
daily-practice - Stages:
primary - Subjects:
语文 - Abilities:
听写,默写 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,practice.generate_items,practice.grade_answers,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:
一年级,二年级,三年级,四年级,五年级,六年级 - Semesters:
上册,下册 - Scenarios:
听写默写,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。
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.
- 1mo ago First seen · 147 lines · 46 tokens per session scan A c5f1b4ce1851
primary-chinese-dictation-daily is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (122 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 1,312 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.