Evaluate entities with Nemotron or LL-generated cohorts and counterfactual probes.
npx skills add https://github.com/xuy/sgo --skill sgo
Please help me install this Agent Skill. Skill: sgo Source: https://github.com/xuy/sgo/tree/main Command: npx skills add https://github.com/xuy/sgo --skill sgo
Semantic Gradient Optimization (SGO) enables you to measure how an entity you control is perceived by a diverse evaluator population, and to discover targeted changes that move that perception toward a defined goal.
Describe your entity and goal, assemble or load an evaluator cohort, run the evaluation, and review the semantic gradient to identify the top changes.
High-intent search queries and answers about installing and using this skill.
Semantic gradient optimization measures how a controllable entity is perceived by an evaluator population and uses counterfactual probes to estimate targeted changes. It helps discover modifications that shift audience perception toward a specific goal.
You evaluate an entity by assembling evaluator cohorts, running LLM-based f(θ,x) scoring, and applying counterfactual probes. The pipeline scripts handle cohort generation, evaluation, and analysis to prioritize changes.
Yes, you can build a realistic evaluator panel using census-grounded Nemotron personas or LLM-generated cohorts. These cohorts simulate diverse audience segments to score your entity effectively.
Yes, you need configured LLM API access, such as OpenAI, to run f(θ,x) scoring and counterfactual probes. The pipeline scripts rely on these APIs to evaluate entities and estimate semantic gradients.
Prioritize changes by reviewing the semantic gradient derived from counterfactual probes. The analysis outputs help you simulate outcomes across audience segments and apply optional goal weighting to target modifications.
The evaluation depends on the quality of your configured dataset of personas or generated cohorts. You must ensure proper API configuration and dataset setup to accurately measure perception and avoid skewed bias calibration.
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