A session-review command that extracts recurring solutions, useful practices, mistakes, reusable code examples, and possible improvements from the current work.

Use it after a task to record patterns, document problems and fixes, save useful snippets, and suggest updates to coding guidance.

It turns one coding session into notes that can guide similar work later.

How marshall0524/everythingclaudecode configures Claude Code and OpenC

Reuse

Borrowing it

Nothing to install: this file belongs to marshall0524/everythingclaudecode. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/marshall0524/everythingclaudecode/main/.opencode/commands/learn.md

Clone the repo

git clone --depth 1 https://github.com/marshall0524/everythingclaudecode

Made for: Claude Code, OpenCode.

Or install everything-claude-code, the plugin that ships this one along with the rest of its 17 skills, 31 commands, 8 agents.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/marshall0524/everythingclaudecode/learn/github.svg)](https://agentmods.dev/commands/marshall0524/everythingclaudecode/learn)

Your own site

<a href="https://agentmods.dev/commands/marshall0524/everythingclaudecode/learn"><img src="https://agentmods.dev/badge/commands/marshall0524/everythingclaudecode/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/marshall0524/everythingclaudecode/learn"><img src="https://agentmods.dev/badge/commands/marshall0524/everythingclaudecode/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 8 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 324 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00008	$0.00324
Opus 5.5	$0.00003	$0.00130
Sonnet 5.5	$0.00002	$0.00065
Haiku 4.5	$0.00001	$0.00032

Measured 1mo ago against content hash 67b1f6181411, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

Origin

This is a copy

100% identical to learn — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.opencode/commands/learn.md · 62 lines

What it actually says

Learn Command

Extract patterns, learnings, and reusable insights from the current session: $ARGUMENTS

Your Task

Analyze the conversation and code changes to extract:

Patterns discovered - Recurring solutions or approaches
Best practices applied - Techniques that worked well
Mistakes to avoid - Issues encountered and solutions
Reusable snippets - Code patterns worth saving

Output Format

Patterns Discovered

Pattern: [Name]

Context: When to use this pattern
Implementation: How to apply it
Example: Code snippet

Best Practices Applied

[Practice name]
- Why it works
- When to apply

Mistakes to Avoid

[Mistake description]
- What went wrong
- How to prevent it

Suggested Skill Updates

If patterns are significant, suggest updates to:

skills/coding-standards/SKILL.md
skills/[domain]/SKILL.md
rules/[category].md

Instinct Format (for continuous-learning-v2)

{
  "trigger": "[situation that triggers this learning]",
  "action": "[what to do]",
  "confidence": 0.7,
  "source": "session-extraction",
  "timestamp": "[ISO timestamp]"
}

TIP: Run /learn periodically during long sessions to capture insights before context compaction.

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.

1mo ago First seen · 62 lines · 8 tokens per session scan A 67b1f6181411

Subscribe to this mod's changes

learn is a command published in the GitHub repository marshall0524/everythingclaudecode (41 stars, last pushed 3mo ago), licensed MIT. It adds 8 tokens to every session and 324 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to learn, differing in 0 lines, and is treated as a copy.

Productivity

everythingclaudecode: Command for Claude Code