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// Skill profile

Safe Long-Run Mode (GPT-5.4 Only)

name: safe-long-run-mode-gpt54

by bwiley1989 · published 2026-04-01

开发工具API集成
Total installs
0
Stars
★ 0
Last updated
2026-04
// Install command
$ claw add gh:bwiley1989/bwiley1989-safe-long-run-mode-gpt54
View on GitHub
// Full documentation

---

name: safe-long-run-mode-gpt54

description: 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.

---

# 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.
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