{"slug":"majiayu000-ralph-wiggum-loop","source_name":"majiayu000/ralph-wiggum-loop","name":"Majiayu000/Ralph Wiggum Loop","description":"Multi-step autonomous plan execution with bounded iteration (max 10), state persistence, dependency checking, error retry with exponential backoff, and human escalation on failure. The \"Ralph Wiggum loop\" enables AI agents to execute complex multi-step plans autonomously while maintaining safety bounds and progress tracking. Includes MCP action invocation, step dependency validation, graceful error recovery, and comprehensive audit logging. Use when: (1) implementing autonomous multi-step task e","version":1,"lift":{"pass_rate_delta_pts":56.52,"pass_rate_pct":82.6,"total_cases":23,"passed_cases":19,"tokens_delta_pct":212.5,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-09-02T21:49:14.313227+00:00"},"skill_score":0.8261,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":56.52,"with_pass_pct":82.6,"without_pass_pct":26.1,"tokens_delta_pct":212.5,"turns_delta_pct":0,"total_cases":23,"cases_aggregated":21,"verdict":"mixed","never_hurt":true,"completed_at":"2026-09-02T21:49:14.313227+00:00","run_id":"c8826043-b6c5-40c9-aadd-53c9894f8168","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"2c01a740560a141c6c96bab119894903baecae6ae271b1d98e1eb94372c49df7","raw_url":"https://app.decimal.ai/s/majiayu000-ralph-wiggum-loop/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/majiayu000-ralph-wiggum-loop"}