Configure per-stage SIVS engine routing with model and effort overrides.
npx skills add https://github.com/inho-team/qe-framework --skill qsivs-config
Please help me install this Agent Skill. Skill: Qsivs-config Source: https://github.com/inho-team/qe-framework/tree/main/skills/Qsivs-config Command: npx skills add https://github.com/inho-team/qe-framework --skill qsivs-config
This Skill helps teams manage and tailor the SIVS routing logic across stages (spec, implement, verify, supervise) by allowing quick changes to the engine, model, and effort overrides, ensuring predictable routing behavior.
Configure the current stage routing by specifying the stage and engine, for example set implement codex --effort high.
High-intent search queries and answers about installing and using this skill.
Per-stage engine routing is configured by specifying the stage and engine, such as setting the implement stage to codex with an optional effort override. This ensures predictable routing behavior across the spec, implement, verify, and supervise stages.
Yes, you can apply per-stage model overrides and effort settings to tailor routing logic. This allows quick changes to engine configurations while ensuring deterministic execution for each specific workflow stage.
Migration from legacy svs-config to the new sivs-config path is supported through automated detection and guidance. The tool validates inputs and enforces configuration rules to ensure a safe transition without breaking existing routing logic.
Mandatory verification gates are preserved regardless of the engine selections you make. The configuration tool validates inputs and enforces safety rules to ensure verification stages are never bypassed during engine or model overrides.
The codex plugin must be installed to use codex engine routing safely. The configuration tool provides safety warnings and validates inputs to alert you if the required codex plugin is not detected in your environment.
The best way to manage SIVS engine routing is by using per-stage engine assignments with optional model and effort overrides. This approach validates configuration rules and ensures deterministic execution across spec, implement, verify, and supervise stages.
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