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 yyz666ai/Learning-Agent --skill lesson-revisiongit clone --depth 1 https://github.com/yyz666ai/Learning-AgentWrote 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/yyz666ai/learning-agent/lesson-revision)<a href="https://agentmods.dev/skills/yyz666ai/learning-agent/lesson-revision"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/lesson-revision/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/yyz666ai/learning-agent/lesson-revision"><img src="https://agentmods.dev/badge/skills/yyz666ai/learning-agent/lesson-revision.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 | $0.00043 | $0.00353 |
| Opus 5 | $0.00022 | $0.00177 |
| Sonnet 5 | $0.00009 | $0.00071 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
lesson-revision 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 8d 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
讲义修订
把学习者的自然语言反馈变成局部、可撤回的新讲义版本。先理解问题，再修改真正受影响的页面；不把一次意见变成所有课程的永久规则。
执行
- 读取当前页、整章 Manifest、用户原话、已通过题目和运行要求。
- 判断反馈属于深度、节奏、图解、代码、题目、错误或可读性。
- 只重新生成受影响页面；保持未修改页面 ID、答案键和输出要求稳定。
- 输出
revision_summary和新版本草案，在对话框提供应用新版本与继续旧版本。 - 应用新版本时保留旧版本、当前章节、已完成进度和用户文件；失败时继续显示旧讲义。
教学修订优先级
- “看不懂长代码”：先用
progressive-code-teaching拆分。 - “不知道怎么流转”：用
visual-explainer加 Mermaid。 - “讲得太浅”：补因果、边界和可运行变化，不堆定义。
- “题目不合适”：用
quiz-designer改关键判断，不单纯增加题量。
完成章节并通过验收后，改进版才交给 knowledge-curator 沉淀。
What ships with it
1 file 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.
- 8d ago First seen · 26 lines · 43 tokens per session scan A f5b1459418ba
lesson-revision is a skill published in the GitHub repository yyz666ai/Learning-Agent (1 stars, last pushed 8d ago), licensed MIT. It adds 43 tokens to every session and 353 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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