autonomy-recovery-loop

Quick Review

The skill addresses an interesting use case (autonomous failure recovery) but suffers from vague implementation details. The description mentions high-level steps like 'check dependency health,' 'apply guardrails,' and 'select safe recovery actions' without explaining HOW these are done or what guardrails exist. The workflow is conceptually clear but lacks concrete guidance on when to invoke the skill, what inputs are required beyond the recovery plan, or how the agent should interpret results. The referenced files (recovery_plan.json, recover.py) are assumed to exist per instructions, but the SKILL.md does not describe their schema or parameters sufficiently for a CLI agent to use them confidently. Novelty is limited because failure recovery concepts are common in DevOps tooling, and the skill does not demonstrate unique complexity that would justify wrapping it versus direct tool usage. Structure is acceptable—concise overview with referenced assets—but the lack of parameter documentation and decision logic reduces task knowledge significantly.