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openai/openai-agents-python139 installs

examples-auto-run

Run python examples in auto mode with logging, rerun helpers, and background control.

How do I install this agent skill?

npx skills add https://github.com/openai/openai-agents-python --skill examples-auto-run
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides a structured way to automate the execution and logging of repository examples. It includes configurations to streamline workflows by automatically handling approval prompts, which is consistent with its intended use for automated testing and demonstration.

  • Socketwarn

    1 alert: gptAnomaly

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    2/2 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

examples-auto-run

What it does

  • Runs uv run examples/run_examples.py with:
    • Optional dependency extras enabled by default: litellm, any-llm, sqlalchemy, redis, blaxel, modal, runloop, and temporal.
    • EXAMPLES_INTERACTIVE_MODE=auto (auto-input/auto-approve).
    • Per-example logs under .tmp/examples-start-logs/.
    • Main summary log path passed via --main-log (also under .tmp/examples-start-logs/).
    • Generates a rerun list of failures at .tmp/examples-rerun.txt when --write-rerun is set.
  • Provides start/stop/status/logs/tail/collect/rerun helpers via run.sh.
  • Background option keeps the process running with a pidfile; stop cleans it up.

Usage

# Start (auto mode; interactive included by default)
.agents/skills/examples-auto-run/scripts/run.sh start [extra args to run_examples.py]
# Examples:
.agents/skills/examples-auto-run/scripts/run.sh start --filter basic
.agents/skills/examples-auto-run/scripts/run.sh start --include-server --include-audio

# Check status
.agents/skills/examples-auto-run/scripts/run.sh status

# Stop running job
.agents/skills/examples-auto-run/scripts/run.sh stop

# List logs
.agents/skills/examples-auto-run/scripts/run.sh logs

# Tail latest log (or specify one)
.agents/skills/examples-auto-run/scripts/run.sh tail
.agents/skills/examples-auto-run/scripts/run.sh tail main_20260113-123000.log

# Collect rerun list from a main log (defaults to latest main_*.log)
.agents/skills/examples-auto-run/scripts/run.sh collect

# Rerun only failed entries from rerun file (auto mode)
.agents/skills/examples-auto-run/scripts/run.sh rerun

Codex execution environment

  • When Codex invokes start or rerun, run the command outside the Codex sandbox by default (sandbox_permissions=require_escalated). Many examples start nested sandboxes, browsers, npm helpers, or cloud/local service processes; running from inside the Codex sandbox can produce environment-only failures such as sandbox-exec: sandbox_apply: Operation not permitted, Playwright cache permission errors, or npm cache permission errors.
  • Use sandboxed execution only when the user explicitly asks for it or when running a narrow dry-run / log inspection command that does not execute examples.

Defaults (overridable via env)

  • EXAMPLES_INTERACTIVE_MODE=auto
  • EXAMPLES_INCLUDE_INTERACTIVE=1
  • EXAMPLES_INCLUDE_SERVER=0
  • EXAMPLES_INCLUDE_AUDIO=0
  • EXAMPLES_INCLUDE_EXTERNAL=0
  • EXAMPLES_UV_EXTRAS="litellm any-llm sqlalchemy redis blaxel modal runloop temporal" (set to an empty string to disable extras)
  • Auto-approvals in auto mode: APPLY_PATCH_AUTO_APPROVE=1, SHELL_AUTO_APPROVE=1, AUTO_APPROVE_MCP=1

Log locations

  • Main logs: .tmp/examples-start-logs/main_*.log
  • Per-example logs (from run_examples.py): .tmp/examples-start-logs/<module_path>.log
  • Rerun list: .tmp/examples-rerun.txt
  • Stdout logs: .tmp/examples-start-logs/stdout_*.log

Notes

  • The runner delegates to uv run --extra ... examples/run_examples.py, which already writes per-example logs and supports --collect, --rerun-file, and --print-auto-skip.
  • examples/sandbox/extensions/vercel_runner.py is temporarily excluded from auto runs due to credential issues. Do not force-run it until the credential setup is fixed.
  • start uses --write-rerun so failures are captured automatically.
  • If .tmp/examples-rerun.txt exists and is non-empty, invoking the skill with no args runs rerun by default.

Behavioral validation (Codex/LLM responsibility)

The runner does not perform any automated behavioral validation. After every foreground start or rerun, Codex must manually validate all exit-0 entries:

  1. Read the example source (and comments) to infer intended flow, tools used, and expected key outputs.
  2. Open the matching per-example log under .tmp/examples-start-logs/.
  3. Confirm the intended actions/results occurred; flag omissions or divergences.
  4. Do this for all passed examples, not just a sample.
  5. Report immediately after the run with concise citations to the exact log lines that justify the validation.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/openai/openai-agents-python/examples-auto-run">View examples-auto-run on skillZs</a>