self-improve

self-improve is a skill for Claude Code, Codex from aaronjmars/aeon-agent. It costs 44 tokens per session (2,136 once invoked), scanned A, a copy of self-improve, MIT.

An agent-improvement and review workflow for examining recent work, failures, prompts, workflows, configuration, and stored notes. It can work in improvement mode or audit mode.

In plain words
What is it for?
Reviewing recent logs, choosing an area to improve, applying safe fixes, and proposing changes through a pull request when appropriate.
Why use it?
It helps identify recurring quality, reliability, or memory-handling problems instead of leaving them hidden in past runs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is DRYRUN_VERDICT="output/.dry-run/$skill.json" bash scripts/dry-run.sh run "$skill" || true.

Good fit Reviewing recent logs, choosing an area to improve, applying safe fixes, and proposing changes through a pull request when appropriate.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/aaronjmars/aeon-agent
agentmods
npx agentmods add skills/aaronjmars/aeon-agent/self-improve

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-improve

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/self-improve/github.svg)](https://agentmods.dev/skills/aaronjmars/aeon-agent/self-improve)
Your own site
<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/self-improve"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/self-improve/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.

agentmods 80×15 button for self-improve

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/self-improve"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/self-improve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,136 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.02136
Opus 5.5 $0.00018 $0.00854
Sonnet 5.5 $0.00009 $0.00427
Haiku 4.5 $0.00004 $0.00214

Measured 1mo ago against content hash 0ba317e2fba4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

self-improve 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 self-improve — 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.

skills/self-improve/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

${var} — Mode selector, optionally with a focus area, as mode or mode:focus.

  • empty or improve → improve mode: find and fix the highest-impact issue from recent logs, then propose + apply the fix via PR (default).
  • improve:<area> (or a bare area like notifications) → improve mode focused on that specific area (e.g. heartbeat, notifications, memory).
  • audit → audit mode: review what the agent did, what failed, and what to improve; save a full review and apply safe, obvious fixes directly.
  • audit:<area> → audit mode focused on that specific area (e.g. reliability, memory).

Setup (both modes)

Parse ${var} into a mode and an optional focus area:

  • Split on the first : — the part before is the mode, the part after is the focus.
  • If the mode is audit → run the Mode: audit branch below (focus = optional area to concentrate the review on).
  • If the mode is improve or empty → run the Mode: improve branch below (focus = optional area to fix).
  • If the token is neither keyword but non-empty (e.g. notifications) → treat it as improve mode with the whole ${var} as the focus area (backward compatibility).

Then:

  • Read memory/MEMORY.md for high-level context and goals.
  • Read recent memory/logs/ (improve mode: last 2 days; audit mode: last 7 days) for errors, failures, and quality issues.

If a focus area is set, concentrate the run on that area.


Mode: improve (default)

Improve the agent itself based on recent performance. ONE change per run.

Steps

  1. Check for open improvement PRs — don't pile up unreviewed work:

    OPEN_PRS=$(gh pr list --state open --json title,number --jq '[.[] | select(.title | test("^(fix|feat|chore)\\("; "i"))] | length')
    

    If there are already 3+ open improvement PRs, log "self-improve: 3+ open PRs, waiting for review" and exit. Don't create more debt.

  2. Identify what to improve. If the focus area is empty, scan for issues:

    • Read memory/logs/ from last 2 days — look for:
      • Skills that failed or produced low-quality output
      • Errors, timeouts, "zero output", rate limiting
      • Notifications that didn't send or were truncated
      • Memory consolidation problems
    • Read memory/cron-state.json for skills with low success rates
    • Read output/articles/repo-actions-*.md from last 7 days for self-improvement ideas
    • Pick the highest-impact, smallest-effort fix. One change per run.

Read the full file on GitHub · 194 lines

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. 1mo ago First seen · 194 lines · 44 tokens per session scan A 0ba317e2fba4

Subscribe to this mod's changes

self-improve is a skill published in the GitHub repository aaronjmars/aeon-agent (12 stars, last pushed 6d ago), licensed MIT. It adds 44 tokens to every session and 2,136 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to self-improve, differing in 0 lines, and is treated as a copy.

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