learn

A command that turns a lesson from the recent conversation into a reusable project instruction.

In plain words
What is it for?
Use it after identifying a problem, its cause, and the correct general fix. It adds the learning to the project root's CLAUDE.md file.
Why use it?
It helps prevent the same mistake or oversight from happening again by recording the general rule in the project's instruction file.

Command for Claude Code

Install

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.

agentmods
npx agentmods add commands/entityprocess/allagents/learn
Clone the repo
git clone --depth 1 https://github.com/EntityProcess/allagents

Made for: Claude Code.

Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 406 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00015 $0.00406
Opus 5 $0.00008 $0.00203
Sonnet 5 $0.00003 $0.00081
Haiku 4.5 $0.00002 $0.00041

Measured yesterday against content hash e13b1baec50d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

.claude/commands/learn.md · 39 lines

What it actually says

Learn

Extract a learning from the recent conversation and persist it.

Process

  1. Identify the problem - Look back through the conversation. Find a mistake, oversight, or suboptimal decision you made. What went wrong?

  2. Identify why it was a problem - What was the consequence? Did it cause a bug, require rework, miss an edge case, or violate a convention?

  3. Identify the fix - How did the user correct you, or how was it resolved? What was the right approach?

  4. Generalize - Can this be stated as a general principle rather than a project-specific fact? Avoid learnings that are too narrow (e.g., "file X is at path Y") — prefer ones that capture reusable judgment (e.g., "when syncing config, only track entries you created").

  5. Draft the learning - Write 1-4 sentences that capture the principle. Present this to the user and briefly explain your reasoning.

  6. Add it - Append the learning to the ## Learnings section of CLAUDE.md in the project root. If no ## Learnings section exists, create one at the end of the file.

Format

Each learning is a bullet point, 1-4 sentences:

## Learnings

* When syncing external config files, only track entries you created. Pre-existing user entries must not be tracked, or uninstalling will delete user data.
* CLI output that appears in multiple code paths should use a shared formatter. Adding output to one path but missing others is a common source of inconsistency.

Rules

  • One learning per invocation. Keep it focused.
  • If no clear mistake happened in the conversation, say so — don't fabricate learnings.
  • Always show the draft to the user before writing it to a file.
Changes

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.

  1. yesterday First seen · 39 lines · 15 tokens per session scan A e13b1baec50d

Subscribe to this mod's changes

learn is a command published in the GitHub repository EntityProcess/allagents (11 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 406 once invoked, about $0.0001 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.