Individual skill
bootstrap
Use when the user has nothing — no traces, no labels, no eval set — and needs to build a v0 evaluation from scratch. Also use when the user says "I need to start evaluating my app but don't know where to begin," "I want to set up eval for a new product," or has just identified failure modes and needs to turn them into principles. Outputs a v0 grader in 30 minutes using OpenJudge SimpleRubricsGenerator, plus a roadmap to reach calibrated evaluation.
skills/eval_pipeline/08-bootstrap/SKILL.md
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- alignment Repository topic
- reward Repository topic
- reward-model Repository topic
- rlhf Repository topic
- agent Repository topic
- evaluation Repository topic
- grader Repository topic
- llm Repository topic
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<HARD-GATE>
NO v0 grader deployed WITHOUT explicitly marking it as uncalibrated.
NO synthetic labels — LLM can generate eval inputs, but labels MUST come from real system output + human judgment.
NO principle without a source label documenting where it came from.
</HARD-GATE>
# Bootstrap
Cold-start an evaluation system when you have nothing. In 30 minutes you get a working
v0 grader and a clear path to a calibrated, trustworthy evaluation.
> **Requires OpenJudge** (`pip install py-openjudge`) for the grader generators
> (`SimpleRubricsGenerator` / `IterativeRubricsGenerator`). The interview, stratification,
> and calibration-roadmap methodology is SDK-independent.