QA Handoff

SkillDev tools

Quality gate protocol between implementation and handoff.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the QA Handoff skill

What this skill tells your AI

The instructions your AI receives, as published by maxim-saplin/llm_chess in .agents/skills/qa-handoff/SKILL.md and read by ahel’s review.

Use this skill after implementation work and before reporting results to the user. This file is the entrypoint: keep it for overview, routing, and shared invariants, then use the mode docs in references/ for the actual review flow.

!!! WHEN APPLICABLE PREFFER RUNTIME EVIDENCE, live checks, any real-world verfication scenarious OVER static file analysis !!!

Do Not Use When

  • The task is still mid-implementation.
  • You are only exploring or planning and have not produced work to verify yet.
  • There is nothing substantive to hand off for review.

Shared Invariants

  • Work is not reported to the user until it passes QA or 3 rounds are exhausted.
  • Ambiguous verdict (neither clear PASS nor FAIL) counts as FAIL.
  • The QA reviewer has no conversation history. Reconstruct the needed context in the handoff package.
  • Only the user can waive a requirement.
  • Before assembling or reviewing evidence, read references/evidence-taxonomy.md.
  • QA validates deliverable readiness, not only internal correctness.

Choose the Mode

  • Default to references/default-qa-mode.md.
  • Use references/two-qa-mode.md only when the user asks for a stronger gate or when you intentionally want both qa-1 and qa-2.
  • In two-QA mode, both reviewers must PASS on the same round before handoff.

Signals

GitHub stars
127
Forks
14
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
qa-handoff
Source
github.com/maxim-saplin/llm_chess