Evaluate EDA experiment proposals and issue GO, CONDITIONAL, or NO-GO verdicts.
npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-theory-veto
Please help me install this Agent Skill. Skill: eda-theory-veto Source: https://github.com/Mr-Fang-VLSI/EDAgent/tree/main/skills/eda-theory-veto Command: npx skills add https://github.com/Mr-Fang-VLSI/EDAgent --skill eda-theory-veto
This Skill evaluates proposed EDA experiments and flow changes to detect logically unsound assumptions, conflicts with known physics or policy, and high-risk comparisons before any expensive submission is run, preventing wasted resources and invalid results.
Use the eda-theory-veto skill to evaluate my proposed experiment and return a GO, CONDITIONAL, or NO-GO verdict with evidence and a safe next step.
High-intent search queries and answers about installing and using this skill.
To prevent theoretically unsound EDA experiments, evaluate proposals by parsing assumptions against physics, EDA constraints, and local policy to block unsafe submissions before running costly simulation batches.
A GO or NO-GO decision gating process for EDA layout and routing evaluates proposed flow changes, returning a structured verdict with numbered blocking reasons, an assumption table, and a safe next step.
To validate falsifiable assumptions for algorithmic comparisons in EDA, parse your one-paragraph proposal to detect logical conflicts with known physics or policy and produce a structured GO, CONDITIONAL, or NO-GO verdict.
Yes, you can integrate EDA experiment risk assessment with automated gate scripts by generating machine-readable reports that block or allow submissions and record override logs for audits.
You need an experiment safety veto for major PDN or CTS model changes when detecting high-risk comparisons, preventing invalid results and wasted resources before any expensive submission is run.
Theory-based vetoing for EDA proposals relies on local KB veto criteria and empirical evidence, meaning its effectiveness is constrained by the completeness and accuracy of the referenced knowledge base.
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