What problem does it solve? Turning a GitHub issue into a reviewed, verified pull request normally requires manual triage, reproduction, fixing, testing, and PR authoring. This Skill automates that entire loop inside a sandboxed agent environment, while enforcing trust checks on issue authors and proof that the fix actually works. ## Core Features & Use Cases - Author trust verification: Checks the issue author's authorAssociation before acting, and stops for untrusted authors unless explicitly told to continue. - Triage before coding: Distinguishes issues needing a code change from ones that are already fixed, need more information, or should be closed as not planned. - Acceptance-check-first workflow: Writes a runnable check that fails before the fix and must pass after, so the PR carries evidence rather than a plausible-looking diff. - Sandboxed clone, gate, and PR: Shallow-clones the repository with gh credential helper auth, runs the repo's own lint/test gate via gate.sh, enforces a ~500-line diff size gate, and opens the PR with Closes #N. - Use Case: A maintainer says "fix issue 42". The Skill verifies the author, reproduces the bug with a failing test, implements the minimal fix, confirms the test flips to green, runs the repo's own checks, and opens a pull request linked back to the issue. ## Quick Start Ask the agent to take issue 42 to a pull request, for example by saying "/auto-issue 42" or "fix issue 42" on a task bound to the target repository.