Borrowing it
Nothing to install: this file belongs to RightNow-AI/autoevolve. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/RightNow-AI/autoevolve/main/CLAUDE.mdgit clone --depth 1 https://github.com/RightNow-AI/autoevolveWrote 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.
[](https://agentmods.dev/instructions/rightnow-ai/autoevolve/claude-md)<a href="https://agentmods.dev/instructions/rightnow-ai/autoevolve/claude-md"><img src="https://agentmods.dev/badge/instructions/rightnow-ai/autoevolve/claude-md/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.
<a href="https://agentmods.dev/instructions/rightnow-ai/autoevolve/claude-md"><img src="https://agentmods.dev/badge/instructions/rightnow-ai/autoevolve/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04773 | $0.04773 |
| Opus 5.5 | $0.01909 | $0.01909 |
| Sonnet 5.5 | $0.00955 | $0.00955 |
| Haiku 4.5 | $0.00477 | $0.00477 |
Grade A, and why
autoevolve CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 405 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — autoevolve
This file is the constitution of this repository. Every session, every agent, every unit of work obeys it. When a decision here conflicts with your instinct, this file wins. When something here is genuinely wrong, write a BLOCKERS.md entry with evidence and stop — do not silently deviate.
1. What autoevolve is
AutoEvolve is an open, agent-native evolutionary optimization and discovery system. A person states a goal in english — an issue, a CLI arg, a chat message. The system synthesizes a scoring contract, measures the baseline, checks feasibility, then evolves code toward the target with a parallel population of coding-agent workers, and ships the result as a report or a PR.
It exists to produce new things: faster kernels, better algorithms, new model architecture components, rediscovered and novel equations. Machines get an optimization substrate; humans get "if you can say it, you can evolve it."
The five invariants (the product — never trade these away)
- The agent IS the mutation operator. Claude Code / Codex sessions mutate candidates. They can profile, read compiler output, debug the evaluator, reason about failures. Never reduce mutation to a blind LLM diff call as the only path.
- The population outlives sessions. All evolution state lives in one store (SQLite) owned by the autoevolve server process. Worker sessions are stateless and disposable. Any MCP-speaking agent can join a run mid-flight.
- English in, contract out. Before any compute burns: synthesize
evaluate.py, measure the baseline, compute a feasibility ceiling where possible, and lock the contract. The promise is always: hit the target, OR deliver best-found plus an evidence-backed explanation of the ceiling. Both are successful outcomes. - It gets smarter every run. Top lineage diffs are distilled into natural-language discoveries persisted in the discovery ledger. Future runs sample relevant discoveries into mutation context. Knowledge compounds across runs and across problems.
- It evolves itself. Operator selection is a persistent per-domain UCB bandit over measured child-improvement rates. The system's own strategy is under optimization at all times.
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.
- 1mo ago First seen · 405 lines · 4,773 tokens per session scan A 1fa42481e3a5
autoevolve CLAUDE.md is an instructions file published in the GitHub repository RightNow-AI/autoevolve (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 4,773 tokens to every session, about $0.0191 per session on Opus 5.5. 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 2026-08-31.
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