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-learning-reportgit 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-learning-report)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-learning-report"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-learning-report/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-learning-report"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-learning-report.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 | $0.00034 | $0.01257 |
| Opus 5.5 | $0.00014 | $0.00503 |
| Sonnet 5.5 | $0.00007 | $0.00251 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
agent-learning-report 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 — 125 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
学情报告 Skill
把零散练习记录整理成家长、老师和学生都能看懂的学情判断。
这个 Skill 解决什么问题 / Problem
把零散练习记录整理成家长、老师和学生都能看懂的学情判断。
最适合 / Best For
- 周报/月报
- 家长沟通
- 学习阶段复盘
- 续接下一步学习计划
不适合 / Not For
- 没有任何学习记录时硬编报告
- 以排名或焦虑话术压迫学生
使用前请准备 / Inputs
- 练习次数
- 正确率或得分
- 主要错题类型
- 学习时长
- 近期目标
推荐工作流 / Recommended Workflow
- 区分事实数据和推测
- 总结优势和风险
- 给学生版鼓励反馈
- 生成下一周优先动作
输出格式 / Output Format
- 一句话结论
- 数据摘要
- 优势
- 风险点
- 行动建议
- 下周计划
质量检查 / Quality Checks
- 不得编造数据
- 建议要和数据对应
- 避免制造焦虑
没有平台工具时 / Standalone Fallback
- 没有报表工具时，让用户粘贴练习记录。
- 没有记忆工具时，生成可保存的报告摘要。
示例提示 / Example Prompts
- 根据这些练习记录，帮我生成家长周报。
- 孩子数学正确率从 70% 到 82%，帮我写分析。
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：
- 学习报告
- 家长沟通
适用角色：
- 家长
- 老师
调用信号 / Invocation Signals
意图：
agent_learning_reportlearning_core学习报告家长沟通
示例表达：
- 开始学情报告 Skill
- 帮我做学习报告
- 根据当前上下文执行学情报告 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_learning_report.run - Category:
learning-core - Stages:
primary,junior,senior - Subjects:
学习能力 - Abilities:
学情报告,学习建议 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,report.aggregate_metrics,organization.query_context,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:
学习报告,家长沟通 - 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 · 145 lines · 34 tokens per session scan A cfa7a40ed598
agent-learning-report is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (122 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 1,257 once invoked, about $0.0001 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 125 lines, and is treated as a copy.
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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…
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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.