📄 skillActivePromisinghigh

hexo-ai/sia

by hexo-ai

SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.

Supported Platforms

🔧 Generic

Stars

1.8k

Skill Type

📋 Runbooks

Quality Score

87/200

License

MIT

Forks

202

Last Updated

Jul 24, 2026

Discovered

Jun 11, 2026

Validation

Passed

github.com/hexo-ai/sia

Quality Breakdown

87/ 200

Content Signals

Gotchas/Edge Cases+40
Progressive Disclosure+30
Trigger Description+20
Verification/Safety+20
Code Examples+15
Composability+15

Repo Health

Recent Activity+15
Scripts/Automation+10
Real Usage (Issues)+10
Single Responsibility+10
Config/Persistence+10
Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

high

Broad system access required. Carefully review permissions before installing.

Active

Updated within the last 90 days. Actively maintained.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Autonomous multi-agent orchestration framework that spawns and coordinates multiple AI agents (Meta, Target, Feedback agents) without explicit human approval gates between iterations
  • Executes arbitrary task code via evaluate.py scripts and reference agents with dynamic Python code execution capabilities
  • Modifies and updates agent configurations, prompts, and weights autonomously across iterations
  • Integrates with external AI provider APIs (Anthropic, OpenAI, Gemini, etc.) with credential management via api_keys.py
  • Contains agent implementation modules (openhands.py) that may execute system commands or shell operations
  • Self-improving loop design means each generation produces new code/configs that are executed without human review