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oss-research-loop

Identify OSS frontier projects for AI apps with real repositories and citations.

4|5|Updated Nov 5, 2025
Search Tags:#ai#license#maturity#oss#repos#frontier#research-loop
One-click install
npx skills add https://github.com/cogni-dao/cogni --skill oss-research-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oss-research-loop
Source: https://github.com/cogni-dao/cogni/tree/main/.claude/skills/oss-research-loop
Command: npx skills add https://github.com/cogni-dao/cogni --skill oss-research-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Discovers OSS frontiers for AI apps and personal AI assistants that Cogni does not currently run, and frames open questions with real repositories and citations to guide decision-making.

Core Features & Use Cases

  • Frontier discovery: identify external OSS projects with real licenses and maturity signals to inform Cogni's research agenda.
  • Research depth: deepen open questions, synthesize evidence, and document concrete tradeoffs for future evaluation.
  • Controlled iteration: enforce RECALL-before-WRITE, avoid duplicates, and maintain a focused, single-thread workflow per iteration.

Quick Start

Invoke the loop using the /loop oss-research-loop command with the production API key.

Frequently Asked Questions about oss-research-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify open source software frontiers for AI applications?▼

Discover OSS frontiers for AI apps by applying a structured research loop that identifies external open source projects with verified licenses and maturity signals, then documents concrete tradeoffs and citations to guide evaluation decisions.

What is the RECALL before WRITE rule in open source research workflows?▼

The RECALL before WRITE rule requires retrieving existing frontier entries before adding new ones, which avoids duplicates and maintains a focused, single-thread workflow per iteration when researching OSS AI projects.

How do I evaluate OSS repository maturity for AI assistant integration?▼

Evaluate OSS repository maturity for AI assistant integration by verifying real licenses and maturity signals, then synthesizing evidence and open questions to determine if the project meets the required frontier bar for addition.

Does this OSS research loop require any external dependencies or API components?▼

No external dependencies or components are required to run the OSS research loop, which maintains a single-thread workflow to deepen open questions and refine the OSS-AI frontier matrix without creating duplicate entries.

When should I avoid using automated research loops for open source discovery?▼

Avoid using automated research loops for open source discovery when a candidate project lacks real licenses, credible citations, or maturity signals, because frontier entries are only added when they meet the strict frontier bar.

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