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evaluator-darwinian

Isolated Darwinian Evolver companion for governed self-evolution.

Skill by nficano

IndexedMIT★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/nficano-evaluator-darwinian

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Isolated Darwinian Evolver companion for governed self-evolution. Use when evolving code candidates against an allowlisted test command in a disposable, network-isolated checkout.

Use cases: testing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Node.js package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/evaluator-darwinian

What's inside

Skill name
evaluator-darwinian
Description
Isolated Darwinian Evolver companion for governed self-evolution. Use when evolving code candidates against an allowlisted test command in a disposable, network-isolated checkout.
License
MIT
Instructions
18 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • SKILL.md
  • manifest.yaml
  • index.ts · src/
  • types.ts · src/

SKILL.md (first lines)

# Darwinian code optimizer

External CLI boundary for Darwinian Evolver. Its image and license stay
separate from Elliott. Each invocation receives one disposable candidate
checkout, an explicit target file set, and an allowlisted test command.

The checkout has no Git remote, repository credentials, host mount,
container-runtime socket, or network egress. Returned patches are untrusted and
must pass Elliott containment, frozen-surface, full-check, benchmark, review,
canary, and Proposal gates.

The separate image contains the exact pinned upstream AGPL source and license.
It reconstructs the checkout from digest-verified request bytes, permits
mutation only for `targetFiles`, executes tests without a shell, and returns
candidate lineage. Its model access is a short-lived route through a loopback
proxy; provider credentials never enter the request or image.

From nficano/elliott, MIT.

More from nficano/elliott

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
Aug 12, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from nficano

Done for you

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

evaluator-darwinian skill. Agent Mart. https://agentmart.dev/skills/nficano-evaluator-darwinian (last updated 2026-10-24)