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-photo-questiongit 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-photo-question)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/agent-photo-question"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-photo-question/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-photo-question"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/agent-photo-question.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 | $0.00040 | $0.01298 |
| Opus 5.5 | $0.00016 | $0.00519 |
| Sonnet 5.5 | $0.00008 | $0.00260 |
| Haiku 4.5 | $0.00004 | $0.00130 |
Grade A, and why
agent-photo-question 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
80% 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
拍照答疑 Skill
把拍照题目转成先识题、再讲思路、最后追问确认的学习过程，而不是只给答案。
这个 Skill 解决什么问题 / Problem
把拍照题目转成先识题、再讲思路、最后追问确认的学习过程，而不是只给答案。
最适合 / Best For
- 学生或家长拍题求讲解
- 题干较长、需要拆条件的题
- 需要生成同类题巩固的场景
不适合 / Not For
- 考试作弊或实时替考
- 图片严重模糊且用户无法补充题干
使用前请准备 / Inputs
- 题目图片或完整题干
- 年级/学段
- 学科
- 学生卡住的位置
推荐工作流 / Recommended Workflow
- 识别题干和条件
- 确认不清晰内容
- 按条件-目标-方法-步骤讲解
- 给同类变式题检查理解
输出格式 / Output Format
- 题目识别结果
- 解题思路
- 分步讲解
- 易错提醒
- 同类练习
质量检查 / Quality Checks
- 不得只输出答案
- 识别不确定时必须标注
- 讲解要匹配年级
- 避免诱导未成年人消费或泄露隐私
没有平台工具时 / Standalone Fallback
- 没有视觉工具时，请用户手动输入题干。
- 没有练习工具时，由 Agent 生成同类变式题。
示例提示 / Example Prompts
- 我把数学题文字贴给你，请按五年级水平讲解。
- 这道物理题我卡在受力分析，帮我拆条件。
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：
- 拍照答疑
- 课后作业
适用角色：
- 学习者
- 家长
调用信号 / Invocation Signals
意图：
agent_photo_questionlearning_core拍照答疑课后作业
示例表达：
- 开始拍照答疑 Skill
- 帮我做拍照答疑
- 根据当前上下文执行拍照答疑 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
agent_photo_question.run - Category:
learning-core - Stages:
primary,junior,senior - Subjects:
综合 - Abilities:
AI 讲题,图片识题 - Quality Tier:
curated - Standalone Support:
requires_tools - Public Release:
recommended - Requires Tools:
file.read_upload,vision.ocr_question - Requires Data:
题目图片或用户转写的题干,学生年级,学科 - 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:
拍照答疑,课后作业 - 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 · 143 lines · 40 tokens per session scan A 612e40dd781d
agent-photo-question is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (122 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 1,298 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 80% identical to adult-vocational-certificate, differing in 125 lines, and is treated as a copy.
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