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evo-memory

EvoScientist/EvoSkillsSkill

Manages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimentation Memory M_E (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after research-ideation), IVE (after experiment failure — classifies failures as implementation vs fundamental), ESE (after experiment success — extracts reusable strategies). Use when: updating memory after completing research-ideation cycles or experiment pipelines, classifying why a method fa

ScannedSkillSource: GitHub
481 stars +1 this week Updated 1mo ago License Apache-2.0 Context ≈153 tokens always loaded
56popular

Why this score

Stars12/35
Usage (forks)3/15
Upkeep20/25
License15/15
Owner history6/10

This repo hosts 10 skills, so its 481 stars are split between them (about 48 each) for scoring.

Popularity score: 56/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit 9a9f8cfb3a7f, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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