Skill Detail

Catch silent agent regressions by diffing outputs and tool traces in CI with eval-view

Snapshot agent behavior, compare outputs and tool-call paths, and block releases when a model or prompt change quietly shifts behavior.

Code Quality & ReviewMulti-Framework
Code Quality & Review Multi-Framework Security Reviewed
⭐ 84 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill catch-silent-agent-regressions-by-diffing-outputs-and-tool-traces-in-ci-with-eval-view Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python environment, eval-view installation, repeatable agent scenarios or tests, CI runner or local shell, supported agent stack under test
Install & setup
Install eval-view from the upstream Python package instructions, define baseline and comparison scenarios for the target agent flow, then run its documented check and replay commands locally or in CI.
Author
hidai25
Publisher
Individual
Last updated
Apr 16, 2026
Quick brief

Use eval-view when the job is regression-gating an existing agent workflow in CI, not when a user just wants a general observability product or benchmark library. The workflow is bounded: capture a baseline, rerun the same agent scenarios, diff outputs and tool traces, then classify whether the change is safe, flaky, or a release blocker. That scope boundary, behavior-regression review for multi-turn tool-calling agents, gives it a clear skill shape instead of leaving it as a generic eval toolkit listing.