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.
npx agentmods add skills/eai-org/agent-toolkit/self-improvenpx skills add eai-org/agent-toolkit --skill self-improvegit clone --depth 1 https://github.com/eai-org/agent-toolkitWhat 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 | $0.00071 | $0.01165 |
| Opus 5 | $0.00036 | $0.00583 |
| Sonnet 5 | $0.00014 | $0.00233 |
| Haiku 4.5 | $0.00007 | $0.00117 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-improve
Suggest durable improvements to the skill or governing doc that should have steered the agent, so the next session gets it right without being told again — and apply them only after the user approves. The skill proposes; the user stays in control of every change. Three ways in:
- Manual — the user invokes
/self-improveto deliberately improve a skill or doc. - Self-triggered — the agent notices it was corrected on something a skill/doc governs (or should). Don't silently correct and move on, but don't derail the task either: note the lesson, finish what the user asked for, and offer to persist it at the next natural breakpoint.
- Driven by another skill — a caller hands over content that is already durable guidance plus an already-chosen target (scope, form, and path — possibly a new file). It resolved both with the user, so skip steps 1-2 and run only draft + apply.
"Skill/doc" means any standing instruction: a SKILL.md, AGENTS.md/CLAUDE.md, a
coding-standards or convention doc, a rules file — anything that guides future agents.
Hard rules
- Confirm before applying. The skill's job is to suggest, never to change text on its own. Never edit a skill or doc without the user's explicit go-ahead on the concrete change — present it as a diff and apply only on approval, whether the user invoked the skill or the agent self-triggered. State plainly whether a change is not yet applied (awaiting approval) or already applied (and where), so the user never has to ask.
- Editing any skill/doc → always route the write through one of two skills to keep it compact;
never edit it directly. A
SKILL.mdgoes through compact-skill-creator; any other doc (rule,AGENTS.md/CLAUDE.md, convention doc) goes through compact-docs-writer. Actually invoke the skill and follow its workflow before drafting or applying; reading it, applying its principles by hand, or naming it after a direct edit does not count.
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.
- 2d ago First seen · 74 lines · 71 tokens per session scan A 788957835740
self-improve is a skill published in the GitHub repository eai-org/agent-toolkit (43 stars, last pushed 12d ago), licensed MIT. It adds 71 tokens to every session and 1,165 once invoked, about $0.0004 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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