Plugin

evolve-loop

A self-learning development pipeline that gets smarter with every cycle. It calibrates itself against your codebase, dynamically selects the highest-impact tasks, implements them in isolated git worktrees, and blocks bad code through eval gates — then learns from each cycle to make better decisions next time. 4 specialized agents (Scout, Builder, Auditor, Operator) work across 5 phases: DISCOVER → BUILD → AUDIT → SHIP → LEARN. The Scout uses multi-armed bandit scoring and 8-dimension quality benchmarks to target your codebase's weakest areas. The Builder implements in isolation. The Auditor blocks MEDIUM+ severity issues. After each cycle, the pipeline extracts reusable "instincts" — patterns about what worked and what failed — that compound over time. Every 5 cycles, a meta-cycle evaluates the pipeline itself and evolves its own agent prompts based on measured performance. It ran 151 cycles on its own codebase, shipping 67+ improvements and raising its quality score from 83.8 to 94.4 — all autonomously. No external dependencies. MIT licensed.

• Published source
• Repository

Analysed

11 October 2026

Last observed

11 October 2026

What the code does

• Downloads and runs code Code that fetches a script and pipes it into a shell.
• Evaluates code at runtime Code that builds and runs code while it executes.
• Runs hooks automatically Hooks that execute without being called explicitly.
• Runs an AI coding agent unsupervised Code that starts an AI coding agent with its approval prompts switched off.
• Reads AI and developer logins Code that refers to AI tool credentials or publishing tokens, such as .npmrc.

Having a capability is not wrongdoing; many tools need these to do their job. It tells you what to check before you install.

This is public metadata, not a safety certification or complete assessment. Static analysis cannot establish what a tool does at runtime.