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Examples Auto Run

examples-auto-run

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

SKILL.md

Full skill instructions

examples-auto-run

What it does

  • Runs uv run examples/​run_examples.py with:
    • 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)
.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

Defaults (overridable via env)

  • EXAMPLES_INTERACTIVE_MODE=auto
  • EXAMPLES_INCLUDE_INTERACTIVE=1
  • EXAMPLES_INCLUDE_SERVER=0
  • EXAMPLES_INCLUDE_AUDIO=0
  • EXAMPLES_INCLUDE_EXTERNAL=0
  • 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 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.
  • 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.

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