Menu
Run python examples in auto mode with logging, rerun helpers, and background control.
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/study8677/openai-agent-runtime --skill examples-auto-runThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-python.
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
Based on SOC occupation classification
Showing SKILL.md
| name | examples-auto-run |
| description | Run python examples in auto mode with logging, rerun helpers, and background control. |
uv run examples/run_examples.py with:
EXAMPLES_INTERACTIVE_MODE=auto (auto-input/auto-approve)..tmp/examples-start-logs/.--main-log (also under .tmp/examples-start-logs/)..tmp/examples-rerun.txt when --write-rerun is set.run.sh.stop cleans it up.# Start (auto mode; interactive included by default)
.codex/skills/examples-auto-run/scripts/run.sh start [extra args to run_examples.py]
# Examples:
.codex/skills/examples-auto-run/scripts/run.sh start --filter basic
.codex/skills/examples-auto-run/scripts/run.sh start --include-server --include-audio
# Check status
.codex/skills/examples-auto-run/scripts/run.sh status
# Stop running job
.codex/skills/examples-auto-run/scripts/run.sh stop
# List logs
.codex/skills/examples-auto-run/scripts/run.sh logs
# Tail latest log (or specify one)
.codex/skills/examples-auto-run/scripts/run.sh tail
.codex/skills/examples-auto-run/scripts/run.sh tail main_20260113-123000.log
# Collect rerun list from a main log (defaults to latest main_*.log)
.codex/skills/examples-auto-run/scripts/run.sh collect
# Rerun only failed entries from rerun file (auto mode)
.codex/skills/examples-auto-run/scripts/run.sh rerun
EXAMPLES_INTERACTIVE_MODE=autoEXAMPLES_INCLUDE_INTERACTIVE=1EXAMPLES_INCLUDE_SERVER=0EXAMPLES_INCLUDE_AUDIO=0EXAMPLES_INCLUDE_EXTERNAL=0APPLY_PATCH_AUTO_APPROVE=1, SHELL_AUTO_APPROVE=1, AUTO_APPROVE_MCP=1.tmp/examples-start-logs/main_*.logrun_examples.py): .tmp/examples-start-logs/<module_path>.log.tmp/examples-rerun.txt.tmp/examples-start-logs/stdout_*.loguv run examples/run_examples.py, which already writes per-example logs and supports --collect, --rerun-file, and --print-auto-skip.start uses --write-rerun so failures are captured automatically..tmp/examples-rerun.txt exists and is non-empty, invoking the skill with no args runs rerun by default.The runner does not perform any automated behavioral validation. After every foreground start or rerun, Codex must manually validate all exit-0 entries:
.tmp/examples-start-logs/.