Automate multi-agent simulations to measure output consistency across runs.
npx skills add https://github.com/bang9/ai-tools --skill whip-simulate
Please help me install this Agent Skill. Skill: whip-simulate Source: https://github.com/bang9/ai-tools/tree/main/whip/skills-codex/whip-simulate Command: npx skills add https://github.com/bang9/ai-tools --skill whip-simulate
Automates systematic multi-agent simulation experiments to measure output consistency across runs.
Use $whip-simulate <scenario> to run multi-agent simulations from a user-provided scenario and analyze output patterns for consistency.
High-intent search queries and answers about installing and using this skill.
You can measure multi-agent output consistency by automating systematic simulation experiments. This requires defining a concrete test plan and explicit output contracts to validate non-deterministic behavior at scale across multiple runs.
Stress-testing non-deterministic behavior involves running A/B style comparisons and equivalence validation at scale. By executing agent-based runs via spawn_agent or whip workflows, you can analyze output patterns for consistency.
To run multi-agent simulations, use whip mode to execute the whip-start workflow, which processes each simulation as a separate task. This guides you from scenario concretization through structured result analysis and reporting.
Yes, you can use agent mode to bypass the orchestrator and run lightweight single-shot simulations. This mode utilizes direct spawn_agent execution to quickly measure output consistency without full workflow overhead.
Yes, explicit output contracts are required to validate multi-agent consistency effectively. They ensure scenario concretization and structured analysis workflows accurately measure and compare non-deterministic outputs across runs.
marktantongcoModel complex scenarios and test decision outcomes with simulated inputs.
HeshamFSExtract fields, analyze time series, and generate reports from simulation output data.
TaylorHustonExecute plan phases from PLAN.md and write code into spaces/.
mattbutlerengineeringSeed deterministic ESLint violations to validate GitHub issue creation and closure workflows.
