Detect Ralph Loop completion using four signals and activity logs.
npx skills add https://github.com/Zpankz/mcp-skillset --skill ralph-graceful-exit
Please help me install this Agent Skill. Skill: ralph-graceful-exit Source: https://github.com/Zpankz/mcp-skillset/tree/main/ralph-graceful-exit Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill ralph-graceful-exit
Detects Ralph Loop completion beyond <promise>DONE</promise> tag to ensure reliable task completion in automated workflows.
Invoke the skill to verify a Ralph Loop's completion and emit <promise>DONE</promise> when the four signals indicate true completion.
High-intent search queries and answers about installing and using this skill.
To verify automated workflow completion beyond a DONE signal tag, you can evaluate test loops, done signals, completion indicators, and fix plan checks using 4-signal detection. This ensures true task completion before emitting a final exit signal.
4-signal detection for workflow verification evaluates test_loops, done_signals, completion_indicators, and fix_plan_check to determine true completion. It prevents false exits in automated scripts by validating multiple completion criteria simultaneously.
To detect Ralph Loop completion using activity logs, the system reads activity logs to distinguish test iterations from real runs. This activity log integration validates whether the process has genuinely finished its automated workflow.
Graceful exit verification works with AI agents, scripts, and orchestrated processes. It applies to automation tasks and workflow monitoring by satisfying requirements for 4-signal detection and activity-log validation across various automated environments.
An automation task may emit a DONE tag early because it relies solely on a single completion indicator. Applying 4-signal detection validates activity logs and optional fix-plan verification to ensure all conditions indicate true completion before emitting an exit signal.
You should not rely on a single DONE tag for automated task completion when your workflow involves complex test iterations or fix plans. Using multi-signal detection prevents premature exits by verifying activity logs and completion indicators together.
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