ClawHub

Safe Long-Run Mode GPT5.4

Other

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-throughput long-run workflow, plans to keep everything on GPT-5.4, or asks how to run long coding, research, build, documentation, Azure, or multi-agent tasks safely without relying on Claude.

Install

openclaw skills install safe-long-run-mode-gpt54

Safe Long-Run Mode (GPT-5.4 Only)

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.

When to use this mode

Use it when:

  • the user wants to minimize model cost
  • the task is implementation-heavy
  • the task is file-heavy or repetitive
  • multiple subagents may be involved
  • external services may throttle
  • quality depends more on process discipline than premium model nuance

Operating procedure

1. Route to GPT-5.4 by default

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:

  1. inspect
  2. plan
  3. execute
  4. validate
  5. report

3. Save progress continuously

Always leave artifacts that make recovery easy:

  • notes
  • drafts
  • partial outputs
  • checkpoint files
  • project updates
  • result summaries

4. Use subagents as workers

For large or parallel tasks, use subagents to keep the main thread clean. Delegate when:

  • tasks are independent
  • multiple files or systems are involved
  • work may take a while
  • specialized roles improve throughput

5. Treat external APIs as the true bottleneck

In GPT-5.4-only mode, model cost is not the main concern. External limits are. Be careful with:

  • Azure / Microsoft Graph
  • ClawHub / GitHub-backed operations
  • Orgo runtime and VM usage
  • websites / browser automation
  • messaging providers

Use batching, backoff, and fewer larger writes.

6. Make every task resumable

If interrupted, resume from artifacts instead of recreating work. Always know:

  • what is already done
  • what file contains the latest state
  • what exact next action should happen

Ideal GPT-5.4-only use cases

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

What to tell the user

Explain that GPT-5.4-only safe mode works because:

  • model cost stays low
  • throughput stays high
  • reliability comes from checkpoints, not from one giant run
  • external APIs, not tokens, usually become the limiting factor

Failure handling

If interrupted:

  1. summarize completed work
  2. cite the saved files
  3. state the resume point
  4. continue from the last checkpoint

References

  • Read references/checklist.md for the pre-flight checklist and GPT-5.4 operating pattern.