blind-evaluation
Design and run a head-to-head comparison whose result you can actually believe — blinding, balanced position assignment, a control that could plausibly have won, and honest reading of a small sample. Use this whenever you are about to claim one approach beats another: A/B-ing two prompts or configs, comparing a new pipeline against the old one, benchmarking a library or model against an alternative, testing whether a change actually helped, or judging which of two outputs is better. Also use it when someone hands you a comparison result and asks whether it holds up, when a result looks suspiciously clean, or when you notice you are about to declare a winner after looking at the outputs unblinded. Not for checking that your own work is finished (use verification-before-completion) and not for wording the claim once evidence is in (use falsifiable-claims).
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Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Blind Evaluation
- When this fires
- The protocol
- Confounds worth expecting
- Reading the result honestly
- Rationalizations that mean stop
- Worked example: a retracted floor-pass
- Boundaries with neighbouring skills
A comparison is only worth what its design is worth. If you look at two outputs, notice that one is yours, and pick it, you have measured your own expectations. The protocol below exists because that failure is invisible from the inside — the reasoning feels sound either way, so the only defense is arranging things so your preference cannot reach the verdict. The expensive failures are rarely "I was biased." They are structural: a control that never could have won, an arm that always sat in the same slot, a defect in one arm that you scored as if both were sound. Any moment you are about to say this one is better on the strength of a comparison — or about to build the comparison that will let you say it. Two configs, two prompts, two libraries, old pipeline vs new, model A vs model B, with-the-thing vs without. It also fires backwards: when a comparison already exists and you are asked whether the result holds, run its design through this and report what the design can and cannot support. 1. Fix the question and the arms before you build anything. Write down what differs between the arms and confirm it is exactly one thing. Both arms get an identical brief — same goal, same audienc
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Author: Lmandrake/MandrakeWorkflows · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-11T03:01:44.614Z.
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