self-improving

self-improving is a skill for Claude Code, Codex from 0xranx/agentbrief. It costs 50 tokens per session (561 once invoked), scanned A, original, MIT.

A project learning system that records corrections, unexpected failures, and useful project-specific patterns in Markdown files. The records are kept so later coding sessions can avoid repeating the same mistakes.

In plain words
What is it for?
Documenting tool failures, user preferences, codebase conventions, corrections, and other lessons that should guide future work.
Why use it?
Important lessons can otherwise disappear when a conversation ends. It separates durable project knowledge from general programming facts and avoids recording secrets.

Skill for Claude CodeCodex

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/0xranx/agentbrief/self-improving
Any agent
npx skills add 0xranx/agentbrief --skill self-improving
Clone the repo
git clone --depth 1 https://github.com/0xranx/agentbrief

Made for: Claude Code, 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-improving

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xranx/agentbrief/self-improving.svg)](https://agentmods.dev/skills/0xranx/agentbrief/self-improving)
Your own site
<a href="https://agentmods.dev/skills/0xranx/agentbrief/self-improving"><img src="https://agentmods.dev/badge/skills/0xranx/agentbrief/self-improving.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 561 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 $0.00050 $0.00561
Opus 5 $0.00025 $0.00280
Sonnet 5 $0.00010 $0.00112
Haiku 4.5 $0.00005 $0.00056

Measured 3d ago against content hash bca3b646d4a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

self-improving 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 3d 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.

briefs/base-agent/skills/self-improving/SKILL.md · 66 lines

What it actually says

Self-Improving

You have a persistent learning system. Use it to get smarter over time.

When to Record a Learning

Record a learning when ANY of these happen:

  1. User corrects you — "no, use X instead of Y", "don't do that", "that's wrong"
  2. Something fails unexpectedly — a build error, test failure, or runtime crash reveals a project-specific gotcha
  3. You discover a non-obvious pattern — the codebase has a convention that isn't documented anywhere
  4. User expresses a preference — "I prefer X", "always do Y in this project", "never use Z"

Do NOT record:

  • Generic programming knowledge (you already know this)
  • Things already documented in CLAUDE.md or project docs
  • Trivial one-time fixes

How to Record

Create a markdown file in .learnings/ at the project root:

# File naming: YYYY-MM-DD-short-description.md
.learnings/2026-03-20-use-pnpm-not-npm.md

Each learning file follows this format:

# Use pnpm, not npm

**Context**: Ran `npm install` and got lockfile conflicts.
**Correction**: This project uses pnpm exclusively. The `pnpm-lock.yaml` is the source of truth.
**Rule**: Always use `pnpm` for install, add, and run commands. Never use `npm` or `yarn`.

Keep it short — 3-5 lines. One learning per file.

How to Read Learnings

At the start of every conversation, check if .learnings/ exists. If it does, read all files in it before starting work. These are hard-won lessons from previous sessions — respect them.

.learnings/
├── 2026-03-18-api-auth-requires-bearer.md
├── 2026-03-19-tests-need-env-setup.md
└── 2026-03-20-use-pnpm-not-npm.md

Anti-patterns

  • Don't create duplicate learnings — check existing files first
  • Don't record learnings that contradict CLAUDE.md — CLAUDE.md wins
  • Don't flood with trivial entries — quality over quantity
  • Don't modify existing learnings unless the user explicitly corrects one
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. 3d ago First seen · 66 lines · 50 tokens per session scan A bca3b646d4a5

Subscribe to this mod's changes

self-improving is a skill published in the GitHub repository 0xranx/agentbrief (45 stars, last pushed 5mo ago), licensed MIT. It adds 50 tokens to every session and 561 once invoked, about $0.0003 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.