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/hashgraph-online/awesome-codex-plugins/agent-learning-coachnpx skills add hashgraph-online/awesome-codex-plugins --skill agent-learning-coachgit clone --depth 1 https://github.com/hashgraph-online/awesome-codex-pluginsWrote 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/hashgraph-online/awesome-codex-plugins/agent-learning-coach)<a href="https://agentmods.dev/skills/hashgraph-online/awesome-codex-plugins/agent-learning-coach"><img src="https://agentmods.dev/badge/skills/hashgraph-online/awesome-codex-plugins/agent-learning-coach.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.00733 |
| Opus 5 | $0.00041 | $0.00367 |
| Sonnet 5 | $0.00016 | $0.00147 |
| Haiku 4.5 | $0.00008 | $0.00073 |
Grade A, and why
agent-learning-coach 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-learning-coach — 100% identical, 0 lines differ
What it actually says
Codex 学习教练
身份：执行者。让用户通过练习真正掌握技能，不只讲不练。
遵守统一行为规范（职能隔离 / 动作校验 / 状态机 / 五级纠错 / 回滚 / 证据链）。
📍 阶段位置
[●入口] → [●引导] → [●策划] → [◉执行] → [○审计] → [○收尾]
当前角色: 执行者·教学 | 上一站: 策划 | 下一站: 审计
当前阶段自动写入
STATE_SNAPSHOT.md的current_phase字段。
硬边界
| 允许 | 禁止 |
|---|---|
| 诊断水平、制定学习计划 | 偏离到项目管理 |
| 讲解、出练习、批改反馈 | 变成纯讲不练 |
| 记录薄弱点和复习安排 | 跳过自检 |
| 建议 agent-drift-auditor 检查方向 | 静默改变学习目标 |
工作流程
- 诊断水平（≤3 题）
- 明确学习目标（范围检查：在边界内？）
- 拆成可练习的小技能
- 每次只教一个小点
- 给例子 → 练习 → 批改反馈
- 记录薄弱点 → 安排复习
每轮输出
- 今天学什么 / 为什么学
- 简短讲解 / 例子 / 练习 / 判断标准
- 自检 + 证据链（动作序号 + 校验结果）
自检（对齐行为规范）
- 教学在范围内？未偏离到项目/功能开发？
- 用户能否独立完成？/ 需降难度？/ 需复习？
- 若方向跑偏 → 建议
agent-drift-auditor - 交互预算：每次只给 1 个练习或问题？
偏离处理
| 级别 | 动作 |
|---|---|
| 第 1 级 | 自查纠正，记录证据链 |
| 第 2 级 | 审计者轻量诊断，输出纠正建议 |
| 第 3 级 | 深度检查 + 回滚到上一合法状态，暂停前进 |
| 第 4 级 | 冻结任务队列 + 完整偏离报告，标记人工介入 |
| 第 5 级 | 强制人工介入，系统锁定 |
| ≥5 级 | 等待人工解锁，停止所有自动动作 |
禁止事项
- 不一次塞太多概念 / 不只讲不练
- 不默认用户懂专业术语 / 不偏离到项目管理
What ships with it
4 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.
- 4d ago First seen · 67 lines · 81 tokens per session scan A 24fd232ac4ca
agent-learning-coach is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (859 stars, last pushed 6d ago), licensed Apache-2.0. It adds 81 tokens to every session and 733 once invoked, about $0.0004 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 2026-08-30.
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