ci(core): reduce ui-report action's verbosity
What changed, and why it matters
This commit simply removes the '-v' (verbose) flag from several file copy and move commands in a GitHub Actions workflow. It only affects how much log output is produced during CI test reporting and does not change what files are moved, copied, or uploaded. There is no security relevance.
No action required. This is a benign CI logging cleanup.
Security signals we found
No strong security signals were identified.
Evidence from the diff
The patch modifies .github/actions/ui-report/action.yml, changing mv -v and cp -v calls to mv and cp. This reduces verbosity of the CI step that prepares UI test artifacts. No paths, conditions, permissions, or logic are altered.
Changed components
.github/actions/ui-report/action.ymlInspect captured patch +5 / −5
diff --git a/.github/actions/ui-report/action.yml b/.github/actions/ui-report/action.yml
index 94466f83..b92ecec2 100644
--- a/.github/actions/ui-report/action.yml
+++ b/.github/actions/ui-report/action.yml
@@ -27,8 +27,8 @@ runs:
OUTDIR=${{ github.run_id }}
mkdir -p $OUTDIR
nix-shell --run "uv run python ci/prepare_ui_artifacts.py || true"
- mv -v tests/ui_tests/reports/test/* $OUTDIR
- mv -v tests/ui_tests/fixtures.*.json $OUTDIR
+ mv tests/ui_tests/reports/test/* $OUTDIR
+ mv tests/ui_tests/fixtures.*.json $OUTDIR
# rename all model/job-speficific report files, so they won't be overwritten during upload
cd $OUTDIR
@@ -37,15 +37,15 @@ runs:
if [ "$F" = "testreport.js" ]; then
echo "Skip $F"
elif [ -f "$F" ]; then
- mv -v $F $MODELJOB-$F
+ mv $F $MODELJOB-$F
fi
done
cd ..
if [ "${{ inputs.status }}" = "success" ]; then
- cp -v .github/actions/ui-report/success.png $OUTDIR/$MODELJOB-status.png
+ cp .github/actions/ui-report/success.png $OUTDIR/$MODELJOB-status.png
else
- cp -v .github/actions/ui-report/failure.png $OUTDIR/$MODELJOB-status.png
+ cp .github/actions/ui-report/failure.png $OUTDIR/$MODELJOB-status.png
fi
shell: sh
- name: Upload test results
Why this scored 15/100
Community notes
Notes can correct, qualify, or add evidence to the AI analysis. Every note shown here has been validated by a human moderator.
The AI analysis stands alone for now. Submit a note if you can add evidence or important context.