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 agentmods add skills/yyz666ai/learning-agent/environment-setupnpx skills add yyz666ai/Learning-Agent --skill environment-setupgit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWhat 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 | $0.00034 | $0.00524 |
| Opus 5 | $0.00017 | $0.00262 |
| Sonnet 5 | $0.00007 | $0.00105 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
environment-setup 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 2d 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.
What it actually says
环境搭建
一次只搭当前课程真正需要的环境，装完立刻验证，不跳步、不臆测用户已装了什么。零基础课程的环境说明必须进入 HTML PPT，而不只是聊天提示。
执行流程
- 读取主题、课程要求和学习者操作系统；不要猜测操作系统。画像未知时提供 macOS / Windows / Linux 三个短分支，不额外卡住课程。
- 区分需要下载的软件与可选工具：语言运行时/编译器通常必装，编辑器插件通常可选；说明每项用途。
- 下载只给官方入口或研究产物里已核验的官方文档。版本敏感时先核对课程要求，不能默认“最新”，也不能编造下载链接。
- 在第一次运行代码前生成一张 HTML PPT「环境准备」页，至少包含：软件与用途、官方入口、安装步骤、版本验证命令、课程项目目录、编辑器打开方式、源文件位置和首次运行命令。
- 每个安装步骤紧跟“怎么验证成功”。例如 Python 可用
python3 --version，Go 可用go version；实际命令必须根据平台和课程确定。 - 验证通过后写入
environment_ready，再开始第一个代码概念。后续章节不再重复整套安装，只显示一句先修检查；出现真实环境错误时再回到本 Skill。
边界
- 不替用户下载安装包或改系统环境变量；只给官方入口、命令和说明，由用户执行并反馈结果。
- 遇到权限 / 网络 / 代理问题，给诊断方向（如换国内镜像），不猜测用户系统状态。
- 按目标代码或课程的版本要求给建议，不默认「装最新就好」。
- 环境没验证成功前，不推进教学概念。
- 纯概念
meaning_only不强行要求下载软件或建立项目目录。
状态边界
- 环境就绪可作为
environment_ready证据写入；但它不是语言概念掌握，不得推进 mastered。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 30 lines · 34 tokens per session scan A 6a30c64595fe
environment-setup is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 524 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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