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Run python examples in auto mode with logging, rerun helpers, and background control.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/nq-ing/cpp_chatsystem --skill examples-auto-runコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
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.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
SKILL.md を表示中
| 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)
.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
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/.