triple-loop-learning is agent-read markdown (skill) from richfrem/agent-plugins-skills: (Industry standard: Meta-Learning System / Automated Autoresearch) Primary Use Case: Continuous, self-improving orchestration of an agentic system over multiple sessions. Use when: building a continuous improvement layer that autonomously identifies workflow friction, postulates hypotheses, and tests improved instructions/coding skills against an objective headless benchmark before merging and persisting..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
mdr add richfrem/agent-plugins-skills/triple-loop-learning@git:20260831.b100768mdr add richfrem/agent-plugins-skills/triple-loop-learning@sha256:f9f681a94ba2bd82Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_jais2ua2tnzt7bku)
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richfrem/agent-plugins-skills · 6 stars · license MIT · pushed 2026-09-05 · branch main
GET https://markdownregistry.com/api/v1/artifacts/art_jais2ua2tnzt7bku GET https://markdownregistry.com/api/v1/resolve?ref=richfrem/agent-plugins-skills/triple-loop-learning GET https://markdownregistry.com/api/v1/blob/f9f681a94ba2bd8220b0512d1fa805888b47a4d7232bdd217ca418c9de3fe0d5