The gallery visualizes findings, setup checks, and recorded scores from v0.24.0 on local fixtures. The animations condense the CLI results into review cards. Read the score contract.
The solid-background 1280×640 project card is optimized for GitHub link previews and remains readable when a social platform crops or scales it down.
This compare run checks a byte-identical instruction moved across directories. The baseline policy gates the new finding, so the run returns exit 1 even though the scores match. Reproduce the anonymized fixture.
The normal setup path is intentionally small: install from PyPI, run init, then use the read-only doctor command to verify configuration, instructions, baseline detection, and the GitHub workflow.
The chart shows the stored scores for baseline, risk added, and risk resolved. The reusable score-history workflow can preserve JSON, HTML, and badge artifacts for default-branch commits.
The regression gate answers whether a pull request introduced a detected regression. History shows how the deterministic score changed across reviewed commits. They are separate signals with a shared scanner and policy model.
Run the renderer in a Python 3.12 environment with Git available. It reads the installed release's CLI results, including the regression exit and selected doctor checks from a disposable Git repository. Font selection depends on the rendering host.
python -m pip install agent-config-score==0.24.0 pillow==12.3.0
python scripts/render_demo_gif.py --allCommit the renderer and generated assets together so visual changes remain reviewable.



