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This repository was archived by the owner on Oct 16, 2026. It is now read-only.
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This repository was archived by the owner on Oct 16, 2026. It is now read-only.
feat: unified agent profile abstraction for cross-agent comparison #1134
Add a first-class configuration layer for portable cross-agent comparison — a shared set of knobs that work across agent targets, with fallback to native target-specific configuration.
Problem
AgentV has rich target/provider support, but when comparing agents side-by-side (e.g., Claude Code vs Codex vs Copilot), each target has its own config shape. There's no clean way to say "run all agents with the same model tier and reasoning level" without maintaining separate target configs that may drift.
Closing — target-level hooks (#1094, shipped in PR #1095) already cover this use case.
Per-target before_all/before_each/after_each/after_all hooks let you install different skills, configure MCP servers, and set up workspace instructions per target variant using shell scripts:
The remaining gap — declarative cross-agent model mapping (model_tier: high → opus for Claude, gpt-5.4 for Codex) — is speculative and violates YAGNI. If concrete demand emerges for a portable cross-agent config abstraction, we can revisit with a narrower scope. For now, target hooks + shell scripts handle the practical use cases.
Activity
christso commentedon Apr 17, 2026
Closing — target-level hooks (#1094, shipped in PR #1095) already cover this use case.
Per-target
before_all/before_each/after_each/after_allhooks let you install different skills, configure MCP servers, and set up workspace instructions per target variant using shell scripts:The remaining gap — declarative cross-agent model mapping (
model_tier: high→ opus for Claude, gpt-5.4 for Codex) — is speculative and violates YAGNI. If concrete demand emerges for a portable cross-agent config abstraction, we can revisit with a narrower scope. For now, target hooks + shell scripts handle the practical use cases.