examples-run-analysis
Analyze artifacts from the latest completed manual examples Make run. Read the main log, every relevant per-example log, and example source; validate every exit-0 example and classify failures, skips, and environment restrictions. Never execute or control examples.
Install
git clone https://github.com/openai/openai-agents-python /tmp/openai-agents-python && ln -s /tmp/openai-agents-python/.agents/skills/examples-run-analysis ~/.claude/skills/examples-run-analysisFrom README
Examples Run Analysis Use this skill only to analyze artifacts that already exist after a user has manually invoked an examples Make target. This skill is read-only and analysis-only. Hard boundary Never start, retry, stop, or otherwise execute examples. Never invoke an examples Make target or .github/scripts/runexamples.sh. Never request elevated execution, alter an environment, remove a pid file, or own or signal a background process. Never treat an older completed run as current when the newest run is active, incomplete, or stale. If usable results are missing, stale, incomplete, or still running, stop the analysis and ask the user to run the appropriate Make target manually. Give the exact command but do not execute it. The supported workflow is an explicit manual Make invocation followed by analysis of the generated artifacts. Artifacts to inspect Background pid file: .tmp/examples-auto-run.pid. Main logs: .tmp/examples-start-logs/main.log.
More from this repo
code-change-verification
Used to run the required final formatting, lint, type, and test checks after eligible SDK changes pass review.
credit-note-fixer
Used to fix the tiny credit-note formatting bug and rerun the exact targeted test command.
csv-workbench
Used to analyze CSV files in /mnt/data and return concise numeric summaries.