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/samuelzxu/claude-evolve/evolvenpx skills add samuelzxu/claude-evolve --skill evolvegit clone --depth 1 https://github.com/samuelzxu/claude-evolveWrote 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/skills/samuelzxu/claude-evolve/evolve)<a href="https://agentmods.dev/skills/samuelzxu/claude-evolve/evolve"><img src="https://agentmods.dev/badge/skills/samuelzxu/claude-evolve/evolve.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00208 |
| Opus 5 | $0.00005 | $0.00104 |
| Sonnet 5 | $0.00002 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
evolve 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.
What it actually says
Launch an evolution run that optimizes code using Claude Code models as mutation operators.
Usage
/evolve [config.json]
/evolve --init initial.py --eval evaluate.py --generations 50
Requirements
initial.py: Seed program with# EVOLVE-BLOCK-START/# EVOLVE-BLOCK-ENDmarkersevaluate.py: Evaluator script that returns metrics and correctness
What Happens
- Loads the initial program and evaluator
- Runs N generations of evolutionary optimization:
- Selects parent programs from island populations
- Queries Claude models (via UCB1 bandit) to generate mutations
- Applies diff/full/crossover patches
- Evaluates fitness via the user's evaluator script
- Updates the archive of best solutions
- Returns the best-performing solution
The run is autonomous -- it proceeds without interaction until complete or stopped.
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.
- 3d ago First seen · 32 lines · 10 tokens per session scan A d986fd32a540
evolve is a skill published in the GitHub repository samuelzxu/claude-evolve (16 stars, last pushed 2mo ago), licensed MIT. It adds 10 tokens to every session and 208 once invoked, about $0.0001 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 2026-09-01.
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