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Self-correction via critique loop - 18.5 percentage point improvement
Passed 19 of 22 test cases with the skill, and 16 of 22 without it.
3 fixed16 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Construct a Rust module for rate-limiting API requests using a token bucket algorithm. I want a thorough evaluation of the initial code before any modifications are made.
| Checked | Without skill | With skill |
|---|---|---|
| Uses `std::time::Instant` to measure elapsed duration for token replenishment. | Passed | Passed |
| Uses `saturating_add` when adding refilled tokens to prevent integer overflow. | Missed | Passed |
The instructions your model reads when the skill loads.
Self-correction mechanism that achieves 18.5 percentage point improvement (78.6% → 97.1%).
This skill auto-activates on:
Generate first-pass response to the task.
Ask yourself:
List specific issues found:
For each issue:
test cases passed, vs 16 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.