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self-criticlisted

This agent's own internal adversarial critic loop. Hardens every deliverable with a fresh no-memory domain critic until it passes twice consecutively with zero CRITICALs before return.
Rockielab/rockie-claude · ★ 20 · AI & Automation · score 74
Install: claude install-skill Rockielab/rockie-claude
# self-critic — the agent's internal adversarial flow This skill is wired in by default (the agent-builder is biased to emit self-adversarial agents). Before this agent returns ANY deliverable for the goal below, harden it here. ## Goal under guard > Turn a list of merged pull requests into a clear, user-facing release-notes section grouped by Added / Changed / Fixed, with one plain-language line per change. ## How to run 1. Produce a draft deliverable. 2. Run `critic_loop.py` with the domain critic (`domain-critic.md`) as a fresh, no-memory reviewer of the draft. 3. On any CRITICAL: apply the cited fixes, re-run. The clean-pass counter resets to zero on any failed round. 4. Converge only on TWO consecutive zero-CRITICAL passes (cap: MAX_ROUNDS=6). Never return a deliverable that has not converged. Prefer the subagent mode (a fresh subagent per round). When the agent cannot spawn subagents, use the single-process fallback with a hard context reset between rounds — weaker isolation, same termination rules. Prove the loop logic any time with `critic_loop.py --selftest`.