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Explain the Ralph Loop plugin, how it works, and available skills.
Passed 22 of 22 test cases with the skill, and 9 of 22 without it.
and 20 more in the full report
14 fixed10 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
During iteration 5 of a 10-iteration Ralph Loop, how does the prompt string delivered to the agent compare to iteration 1?
| Checked | Without skill | With skill |
|---|---|---|
| states that the prompt delivered on iteration 5 is identical to the initial prompt | Missed | Passed |
The instructions your model reads when the skill loads.
The user asks what Ralph Loop is, how it works, or needs usage guidance.
Ralph Loop implements the Ralph Wiggum technique — an iterative development methodology based on continuous AI loops, pioneered by Geoffrey Huntley.
Core concept: the same prompt is fed to the agent repeatedly. The "self-referential" aspect comes from the agent seeing its own previous work in the files and git history, not from feeding output back as input.
Each iteration:
Tell the agent your task along with options:
Start a ralph loop: "Build a REST API for todos" --max-iterations 20 --completion-promise "COMPLETE"
Options:
--max-iterations N — max iterations before auto-stop--completion-promise "TEXT" — phrase to signal completionHow it works:
.cursor/ralph/scratchpad.md state filetest cases passed, vs 9 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.