Menu

Individual skill

evolve

0upvotes

Run an ASI-Evolve style evaluator-driven search workflow for code, algorithms, prompts, or pipelines. Use when Codex needs to align the objective, scoring, evaluator, writable scope, and cognition first, then execute a preflight-gated learn/design/experiment/analyze loop with the bundled Evolve CLI instead of the repository's multi-agent pipeline.

skills/evolve/SKILL.md

Read pinned source

Source commit 210707a3d4a3bb1cee458919462c07640d7dfff1

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 10, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
871
Repository last updated
Oct 9, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Evolve

Treat this skill as the single-agent abstraction of `ASI-Evolve-dev`. Preserve the system's core idea: learn from prior knowledge, design the next candidate, run the evaluator, analyze the outcome, and feed the lesson back into the next round.

## Preserve the operating model
- Keep the four-stage loop intact: learn, design, experiment, analyze.
- Use the bundled wrappers in `scripts/` for stateful operations. Let the agent make orchestration decisions; do not recreate the repository's pipeline stack.
- The agent itself must choose mutations, run experiments, inspect outputs, and write round analyses step by step.
- Keep two memory systems alive for the whole run:
  - cognition store for approved external research, paper takeaways, and search-derived insights that may help future rounds
  - experiment database for every candidate, score, analysis, lineage, best snapshot, and lessons learned from actual experiments
- Treat `.evolve_runs/<run-name>/` as the source of truth for the active run.

## Start with preflight
Back to top