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📦 Safe Long-Run Mode GPT5.4 — Safe工具

v1.0.0

[AI辅助] Operate long-running tasks safely when the environment is optimized for GPT-5.4 as the primary and often only model. Use when the user wants a low-cost, high...

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by @bwiley1989·MIT-0
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License
MIT-0
最后更新
2026/3/27
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OpenClaw
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This is an instruction-only skill that gives procedural guidance for running long tasks on GPT-5.4 and does not request credentials, install software, or contain hidden code — its requirements and instructions are coherent with its stated purpose.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/27

Initial release — GPT-5.4-only operating mode for long-running tasks

● 无害

安装命令

点击复制
官方npx clawhub@latest install safe-long-run-mode-gpt54
🇨🇳 镜像加速npx clawhub@latest install safe-long-run-mode-gpt54 --registry https://cn.longxiaskill.com

技能文档

Use this skill when GPT-5.4 is the default operating model for both orchestration and delegated work.

Core rule

Use GPT-5.4 for long work by making tasks cheap, segmented, and resumable. Since the model layer is cost-efficient, the real risks are provider throttling, session interruption, and lack of checkpoints.

当...时 到 使用 mode

Use it when:
  • 用户 wants 到 minimize 模型 cost
  • task implementation-heavy
  • task file-heavy 或 repetitive
  • multiple subagents 可能 involved
  • external services 可能 throttle
  • quality depends 更多 在...上 process discipline 比 premium 模型 nuance

Operating procedure

1. 路由 到 GPT-5.4 由 默认

Use GPT-5.4 for:
  • coding
  • docs
  • research
  • skills
  • website work
  • project tracker updates
  • internal tooling
  • multi-agent delegated work
  • long build/test loops

Do not escalate to another model unless the user asks or the task clearly requires premium polish/judgment.

2. Split work aggressively

Break long tasks into explicit phases and write down the next step before moving on.

Preferred phases:

  • inspect
  • plan
  • execute
  • 验证
  • 举报

3. 保存 progress continuously

Always leave artifacts that make recovery easy:
  • notes
  • drafts
  • partial outputs
  • checkpoint files
  • project updates
  • 结果 summaries

4. 使用 subagents 作为 workers

For large or parallel tasks, use subagents to keep the main thread clean. Delegate when:
  • tasks independent
  • multiple files 或 systems involved
  • work 可能 take 当...时
  • specialized roles improve throughput

5. Treat external APIs 作为 真 bottleneck

In GPT-5.4-only mode, model cost is not the main concern. External limits are. Be careful with:
  • Azure / Microsoft 图形
  • ClawHub / GitHub-backed operations
  • Orgo runtime 和 VM usage
  • websites / browser automation
  • messaging providers

Use batching, backoff, and fewer larger writes.

6. 使 every task resumable

If interrupted, resume from artifacts instead of recreating work. Always know:
  • 什么 已经 已完成
  • 什么 file contains latest state
  • 什么 exact 下一个 action 应该 happen

Ideal GPT-5.4-仅 使用 cases

  • codebase changes
  • documentation builds
  • repeated content generation
  • Azure script development
  • internal automation
  • multi-agent production work
  • long back-office workflow creation

什么 到 tell 用户

Explain that GPT-5.4-only safe mode works because:
  • 模型 cost stays low
  • throughput stays high
  • reliability comes 从 checkpoints, 不 从 one giant run
  • external APIs, 不 tokens, usually become limiting factor

Failure handling

If interrupted:
  • summarize 已完成 work
  • cite saved files
  • state 恢复 point
  • continue 从 最后的 checkpoint

References

  • 读取 references/checklist.md 对于 pre-flight checklist 和 GPT-5.4 operating pattern.
数据来源：ClawHub ↗ · 中文优化：龙虾技能库