Borrowing it
Nothing to install: this file belongs to znlnzi/claude-config-studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/znlnzi/claude-config-studio/main/.claude/commands/learn.mdgit clone --depth 1 https://github.com/znlnzi/claude-config-studioWrote 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/commands/znlnzi/claude-config-studio/learn)<a href="https://agentmods.dev/commands/znlnzi/claude-config-studio/learn"><img src="https://agentmods.dev/badge/commands/znlnzi/claude-config-studio/learn/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/commands/znlnzi/claude-config-studio/learn"><img src="https://agentmods.dev/badge/commands/znlnzi/claude-config-studio/learn.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 | $0.00014 | $0.00297 |
| Opus 5.5 | $0.00006 | $0.00119 |
| Sonnet 5.5 | $0.00003 | $0.00059 |
| Haiku 4.5 | $0.00001 | $0.00030 |
Grade A, and why
learn 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 2mo 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
/learn - 提取学习成果
从当前会话中提取可重用的模式和经验。
工作流
- 回顾会话 - 分析当前会话中解决的问题
- 提取模式 - 识别可重用的解决方案
- 格式化 - 按标准格式记录
- 保存 - 写入学习文件
提取内容
- 错误解决方法: 问题原因和修复方案
- 调试技巧: 有效的调试方法和工具组合
- 变通方案: 库的怪癖或 API 限制的解决办法
- 架构模式: 项目特定的设计模式
学习记录格式
## [模式名称]
### 问题
[问题描述]
### 解决方案
[解决方案描述]
### 代码示例
[相关代码]
### 适用条件
[何时使用这个模式]
保存位置
学习记录保存到 .claude/learnings/ 目录。
质量过滤
排除以下内容：
- 简单的拼写错误修复
- 一次性的环境问题
- 第三方服务的临时故障
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.
- 2mo ago First seen · 50 lines · 14 tokens per session scan A 25d2b28a9117
learn is a command published in the GitHub repository znlnzi/claude-config-studio (0 stars, last pushed 8mo ago), licensed MIT. It adds 14 tokens to every session and 297 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
compress
Automatically compress CLAUDE.md or other memory files with protected-span safety. One-command token savings.
export
Export instincts for sharing.
status
Check in with your homunculus.
import
Import instincts from others.
import
Import Spec Kit artifacts into local Dotdog knowledge graphs.
tree-ring-recall
Recall durable Tree Ring Memory context before starting or resuming work.