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Freshly judge exact subject content against
Passed 23 of 25 test cases with the skill, and 8 of 25 without it.
and 19 more in the full report
16 fixed7 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is candidate commit `d9e8f7a` in `lib/auth.py`. Is this change good to go or ready for production?
| Checked | Without skill | With skill |
|---|---|---|
| Asks the caller to clarify whether they want advisory feedback or an acceptance judgment before issuing any verdict. | Missed | Passed |
The instructions your model reads when the skill loads.
Freshly judge one finished candidate against its original acceptance, return
PASS, FAIL, or NOT_PROVEN with criterion-level evidence, and stop.
Neighbours: advice or a second look is Review; whether a
stated claim holds is Reality Check. This file
carries every rule the judgment needs. Linked files, including
RPI boundaries and
mechanics, add depth only: if one cannot be read,
judge from this file and say which was unavailable.
not_checked and never counts toward PASS.Decide in this order:
not_checked is empty: PASS.An explicit request for Validate, an acceptance verdict or independent proof that original acceptance is met selects this skill, even when phrased as
test cases passed, vs 8 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.