GitHub-native Loop Engineering skill: evidence-gated Issues and Projects workflows over the official GitHub MCP Server.
The GitHub-native control plane for Loop Engineering.
An Agent Skill that turns GitHub Issues and GitHub Projects into durable state, evidence, and handoff for repeatable agent work—all through the official GitHub MCP Server.
Loop Engineering is about designing the repeatable system around an agent: what it discovers, which bounded transition it attempts, how the result is verified, what gets persisted, and when the loop continues or stops. This skill applies that discipline to the work lifecycle.
GitHub is more than the task list in this loop:
Loop stage What the skill does Durable artifact :--:--:-- Discover Read live repository, issue, hierarchy, Project fields, and policy Current world state Frame Define one authorized transition and the evidence that would prove it Acceptance criteria and target state Act Make the smallest MCP mutation in dependency order Issue or Project change Verify Re-read the affected resources instead of trusting the write response Observed state and validation evidence Persist Record decisions, blockers, validation, and completion Body, comments, fields, and links Continue or stop Route a bounded next step or stop at completion, ambiguity, or a human gate Follow-up, handoff, or verified done state
The result is an evidence-gated lifecycle: an agent cannot turn “I changed it” into “Done” without a read-back and proof.
- Loop-native: every mutation is one pass through discover, frame, act, verify, and persist. - Evidence-gated: acceptance criteria and current read-back state control lifecycle transitions. - Durable: GitHub Issues and Project
From the project README.
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