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-weakness-boostgit 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-weakness-boost)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-weakness-boost"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-weakness-boost/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-weakness-boost"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-weakness-boost.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 | $0.00048 | $0.01298 |
| Opus 5 | $0.00024 | $0.00649 |
| Sonnet 5 | $0.00010 | $0.00260 |
| Haiku 4.5 | $0.00005 | $0.00130 |
Grade A, and why
agent-weakness-boost 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
81% identical to adult-vocational-certificate — 117 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.
薄弱项提升 Skill
把“薄弱项”从模糊标签变成一个可诊断、可练习、可复测的小专题提升闭环。
这个 Skill 解决什么问题 / Problem
把“薄弱项”从模糊标签变成一个可诊断、可练习、可复测的小专题提升闭环。
最适合 / Best For
- 某个知识点反复错
- 考试后查漏补缺
- 老师或家长想安排专项训练
不适合 / Not For
- 没有样本就断言薄弱点
- 一次性补完整本书
使用前请准备 / Inputs
- 薄弱知识点或错题样本
- 年级/学科
- 目标分数或掌握标准
- 可用时间
- 最近错误表现
推荐工作流 / Recommended Workflow
- 用 3-5 个问题定位真实缺口
- 区分概念/方法/审题/计算问题
- 安排讲解和练习梯度
- 复测并决定是否升级难度
输出格式 / Output Format
- 薄弱点诊断
- 根因假设
- 补强路线
- 练习梯度
- 复测标准
质量检查 / Quality Checks
- 诊断必须基于证据
- 练习先少而准
- 复测标准要明确
- 不能只生成题目不讲原因
没有平台工具时 / Standalone Fallback
- 没有测评工具时，用用户提供的错题做诊断。
- 没有题库时，生成原创小测并附答案。
示例提示 / Example Prompts
- 孩子分数应用题总错，帮我找薄弱原因并安排 3 天提升。
- 函数图像这块总不会，先诊断再练习。
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：
- 专项训练
适用角色：
- 学习者
- 家长
- 老师
调用信号 / Invocation Signals
意图：
agent_weakness_boostlearning_core专项训练
示例表达：
- 开始薄弱项提升 Skill
- 帮我做专项训练
- 根据当前上下文执行薄弱项提升 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_weakness_boost.run - Category:
learning-core - Stages:
primary,junior,senior - Subjects:
学习能力 - Abilities:
查漏补缺 - 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:
专项训练 - 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 · 48 tokens per session scan A d34d8092b670
agent-weakness-boost is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 1,298 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to adult-vocational-certificate, differing in 117 lines, and is treated as a copy.
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