triple-loop-learninglisted
Install: claude install-skill richfrem/agent-plugins-skills
## Dependencies
This skill requires **Python 3.8+** and standard library only.
**Evaluation gate**: NOT included in this primitive. The calling system (e.g., agent-agentic-os
os-improvement-loop) is responsible for wrapping this skill with an eval gate and experiment log.
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# Triple-Loop Learning (Meta-Learning System)
This skill defines the orchestration pattern for the **Triple-Loop Architecture**. Pattern 5 is a robust, autonomous feedback loop where an independent **Meta-Learning Orchestrator** governs a long-horizon pipeline of execution, planning, and tactical problem-solving.
This architecture is entirely framework-agnostic. While originally developed for `agent-agentic-os`, it models the core loop defined by Meta-Harness research where autonomous systems evolve their own operating instructions based strictly on headless evaluators.
## Architecture Overview
```mermaid
flowchart TD
subgraph Outer["Outer Loop (Meta-Learning & Orchestration)"]
Hypothesize[Hypothesis Generation] --> StrategyBridge[Strategy Packet]
Report --> EvalBridge[Score Analysis]
EvalBridge --> Conclude[Accept / Reject Hypothesis]
end
subgraph Mid["Strategic Planner (Dual-Loop Integration)"]
Plan[Define Sub-tasks] --> TacticalBridge[Handoff Packet]
Result[Aggregate Results] --> Report[Generate Report]
end
subgraph Inner["Tactical Executor (Single-Loop Integration)"]
Execute[Code Mutation] --> Test[Headless Evaluation]