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 commands/luohaothu/everything-codex/learngit clone --depth 1 https://github.com/Luohaothu/everything-codexWhat 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 | $0.00000 | $0.00449 |
| Opus 5 | $0.00000 | $0.00225 |
| Sonnet 5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
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 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
/learn - 提取可重用模式
分析当前会话，提取值得保存为技能的任何模式。
触发时机
在会话期间的任何时刻，当你解决了一个非平凡问题时，运行 /learn。
提取内容
寻找：
-
错误解决模式
- 出现了什么错误？
- 根本原因是什么？
- 什么方法修复了它？
- 这对解决类似错误是否可重用？
-
调试技术
- 不明显的调试步骤
- 有效的工具组合
- 诊断模式
-
变通方法
- 库的怪癖
- API 限制
- 特定版本的修复
-
项目特定模式
- 发现的代码库约定
- 做出的架构决策
- 集成模式
输出格式
在 ~/.claude/skills/learned/[pattern-name].md 创建一个技能文件：
# [Descriptive Pattern Name]
**Extracted:** [Date]
**Context:** [Brief description of when this applies]
## Problem
[What problem this solves - be specific]
## Solution
[The pattern/technique/workaround]
## Example
[Code example if applicable]
## When to Use
[Trigger conditions - what should activate this skill]
流程
- 回顾会话，寻找可提取的模式
- 识别最有价值/可重用的见解
- 起草技能文件
- 在保存前请用户确认
- 保存到
~/.claude/skills/learned/
注意事项
- 不要提取琐碎的修复（拼写错误、简单的语法错误）
- 不要提取一次性问题（特定的 API 中断等）
- 专注于那些将在未来会话中节省时间的模式
- 保持技能的专注性 - 一个技能对应一个模式
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 · 71 lines · 0 tokens per session scan A 742dbb55da61
learn is a command published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 21d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 449 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.