AgentSkillsCN

examples-auto-run

以自动模式运行Python示例，支持日志记录、重试辅助工具以及后台控制功能。

SKILL.md
--- frontmatter
name: examples-auto-run
description: Run python examples in auto mode with logging, rerun helpers, and background control.

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

bash
# 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

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.