learn

learn is a command for Claude Code from sifxprime/kodelyth-ecc. It costs 12 tokens per session (392 once invoked), scanned A, a copy of learn, MIT.

A command that extracts reusable solutions, debugging methods, workarounds, and project conventions from an agent session and saves them as learned skills.

In plain words
What is it for?
Use it after solving a non-trivial problem to record the problem, solution, example, and situations where the pattern applies.
Why use it?
It turns hard-won session knowledge into files that can guide future work instead of letting the same discovery happen repeatedly.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md). Also seen: reads .claude/ paths.

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/sifxprime/kodelyth-ecc/learn
Clone the repo
git clone --depth 1 https://github.com/sifxprime/kodelyth-ecc

Made for: Claude Code.

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.

agentmods badge for learn

README.md
[![agentmods](https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/learn.svg)](https://agentmods.dev/commands/sifxprime/kodelyth-ecc/learn)
Your own site
<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/learn"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/learn.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 392 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00392
Opus 5 $0.00006 $0.00196
Sonnet 5 $0.00002 $0.00078
Haiku 4.5 $0.00001 $0.00039

Measured 2d ago against content hash d442fc9a7473, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 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.

Origin

This is a copy

91% identical to learn — 4 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.

commands/learn.md · 75 lines

What it actually says

/learn - Extract Reusable Patterns

Analyze the current session and extract any patterns worth saving as skills.

Trigger

Run /learn at any point during a session when you've solved a non-trivial problem.

What to Extract

Look for:

  1. Error Resolution Patterns

    • What error occurred?
    • What was the root cause?
    • What fixed it?
    • Is this reusable for similar errors?
  2. Debugging Techniques

    • Non-obvious debugging steps
    • Tool combinations that worked
    • Diagnostic patterns
  3. Workarounds

    • Library quirks
    • API limitations
    • Version-specific fixes
  4. Project-Specific Patterns

    • Codebase conventions discovered
    • Architecture decisions made
    • Integration patterns

Output Format

Create a skill file at ~/.claude/skills/learned/[pattern-name].md:

# [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]

Process

  1. Review the session for extractable patterns
  2. Identify the most valuable/reusable insight
  3. Draft the skill file
  4. Ask user to confirm before saving
  5. Save to ~/.claude/skills/learned/

Notes

  • Don't extract trivial fixes (typos, simple syntax errors)
  • Don't extract one-time issues (specific API outages, etc.)
  • Focus on patterns that will save time in future sessions
  • Keep skills focused - one pattern per skill
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. 2d ago First seen · 75 lines · 12 tokens per session scan A d442fc9a7473

Subscribe to this mod's changes

learn is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 392 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to learn, differing in 4 lines, and is treated as a copy.