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Get Started Free →stijnman/self-refine-loop
Runs a generator-critique-reviser loop to iteratively improve agent outputs.
Passed 16 of 22 test cases with the skill, and 9 of 22 without it.
and 5 more in the full report
7 fixed9 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Fix the spelling error in this sentence: 'Our database querys are optimized for speed.'
| Checked | Without skill | With skill |
|---|---|---|
| Outputs 'queries' directly without displaying critique bullet points or numeric confidence scores | Missed | Passed |
The instructions your model reads when the skill loads.
goal-verifieragentic-uncertainty-quantifierdspy-prompt-optimizer| Failure | Response |
|---|---|
| No criteria given | Ask user for 1-3 success criteria before looping. |
| Confidence stuck below 5 | Stop early; report blocker and ask for guidance. |
| Output grows unbounded | Cap revisions to prior length + 20%. |
Input: User request matching triggers above. Output: Structured result per workflow with integrations invoked as needed.
test cases passed, vs 9 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.