self-learning

self-learning is a skill for Codex from Kulaxyz/self-learning-skills. It costs 212 tokens per session (2,540 once invoked), scanned A, original, MIT.

A method for saving a difficult but successful solution as a reusable coding-agent skill. It records the proven steps, project-specific facts, commands, and pitfalls so later sessions can follow them.

In plain words
What is it for?
Use it after solving a non-trivial bug, discovering an unusual project workflow, or completing a recurring operational task.
Why use it?
It prevents agents and teammates from repeating the same debugging, investigation, or setup work.

Skill for Codex

Written for Codex: reads ~/.codex or $CODEX_HOME. Also seen: reads .claude/ paths; mentions subagents; mentions 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 skills/kulaxyz/self-learning-skills/self-learning
Any agent
npx skills add Kulaxyz/self-learning-skills --skill self-learning
Clone the repo
git clone --depth 1 https://github.com/Kulaxyz/self-learning-skills

Made for: Codex.

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 self-learning

README.md
[![agentmods](https://agentmods.dev/badge/skills/kulaxyz/self-learning-skills/self-learning.svg)](https://agentmods.dev/skills/kulaxyz/self-learning-skills/self-learning)
Your own site
<a href="https://agentmods.dev/skills/kulaxyz/self-learning-skills/self-learning"><img src="https://agentmods.dev/badge/skills/kulaxyz/self-learning-skills/self-learning.svg" alt="Measured on agentmods" height="20"></a>
Per session 212 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,540 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 5.1 $0.00212 $0.02540
Opus 5 $0.00106 $0.01270
Sonnet 5 $0.00042 $0.00508
Haiku 4.5 $0.00021 $0.00254

Measured 6d ago against content hash 2ece37c8f8e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

self-learning 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 6d 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.

skills/self-learning/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Self-learning: harvest golden paths into skills

This skill turns something you just figured out the hard way into a reusable Agent Skill, so the next session — yours or a teammate's — starts already knowing the proven route instead of rediscovering it from scratch.

It is a meta-skill: it doesn't do the work, it captures how work got done. It's tool-neutral — it works with any agent that reads the Agent Skills format (e.g. Claude Code and Codex, which both load SKILL.md skills natively). Where a step differs by tool, the generic version comes first and any tool-specific detail is only an example.

Recognize the moment

Watch for these signals during normal work. Any one of them is a cue to harvest:

  • A task only worked after several attempts, wrong turns, or a correction from the user. The successful path is worth more than the failures around it.
  • You discovered project-specific facts the agent didn't know up front: where creds/env vars live, which selector or backend talks to a service, a non-obvious command, a required sequence, a gotcha that defies the obvious assumption.
  • It's an operational workflow likely to recur: reach the dev/prod DB, deploy, run migrations, seed data, verify a change live, run one specific test path, rotate a key, tail the right logs.
  • The user signals it explicitly: "remember this", "save this as a skill", "don't make me re-explain this next time".

Act on the cue immediately — don't ask for permission first, whether the user requested it or you noticed it yourself. Harvest the skill, then tell the user what you captured and where (step 5). They can always edit or delete it.

Skill, memory, or skip?

Not every lesson deserves a whole skill — triage first, so you don't bloat the skills list with one-liners:

  • A multi-step, reusable procedure or workflow (how to deploy, reach the DB, run the migration dance, verify live) → harvest it as a skill using the procedure below.
  • A single standalone fact or one-line correction (an env var name, a path, one gotcha) → if your harness has a lightweight memory/notes facility (e.g. a MEMORY.md index), record it there instead; a whole skill is overkill for a one-liner. With no such facility, make a small skill.
  • A genuinely one-off thing unlikely to recur → skip it.

Read the full file on GitHub · 192 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 192 lines · 212 tokens per session scan A 2ece37c8f8e4

Subscribe to this mod's changes

self-learning is a skill published in the GitHub repository Kulaxyz/self-learning-skills (946 stars, last pushed 2mo ago), licensed MIT. It adds 212 tokens to every session and 2,540 once invoked, about $0.0011 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.

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