Agent Rigor
Stop AI doom-loops. Add discipline to coding agents.
Agent Rigor launched on June 21, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
Most AI agents fail because they lack discipline. They skip planning, write plausible but broken code, and get trapped in endless fix-forward "doom loops." Agent Rigor is an open-source framework that fixes this. Compatible with any coding assistant, it forces agents through a strict 6-phase loop - requiring empirical verification and tests before committing any code. Stop watching your AI coding assistant code itself into a corner and give it empirical discipline.
Skill repository to enforce Engineering disclipline in coding assistants - MeherBhaskar/agent-rigor
Help your AI agent adopt software engineering best practices directly into its workflow. AI coding agents often struggle not from a lack of intelligence, but from a lack of engineering discipline . Left to their own devices, agents typically: Agent Rigor is a framework of modular Agent Skills designed to encourage mature, battle-tested software engineering practices. It provides structured instructions, verification steps, and safeguards that guide agents toward empirical discipline at every step. Consider two agents solving the same bug. Agent A formulates a hypothesis, writes a targeted fix, adds a regression test, and verifies it passes. Agent B tries five random patches in sequence…from github.com
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