技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 24 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：bwiley1989/safe-long-run-mode-gpt54
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
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.
目的
Name and description match the content of SKILL.md: the skill is a runtime operating procedure for long-running GPT-5.4 workflows. It does not request unrelated binaries, env vars, or config paths.
说明范围
Instructions stay within orchestration best-practices: split tasks, checkpoint, use subagents, and treat external APIs as bottlenecks. The guidance is operationally broad (delegation, use of external services, writing artifacts), which is expected for an orchestration/operating-mode doc but grants the agent discretion at runtime to interact with files and external APIs. There are no explicit instructions to read unrelated system files or exfil…
安装机制
No install spec and no code files — nothing is written to disk or fetched at install time. This is low-risk for installation.
证书
The skill declares no required environment variables or credentials. It references external services (Azure, GitHub, Microsoft Graph, Orgo) as potential bottlenecks, which is reasonable context for orchestration guidance but means the agent may later request or use credentials when executing concrete tasks; those requests would be separate and should be evaluated when they arise.
持久
Flags: always is false and the skill is user-invocable (normal). It does not request persistent presence or attempt to modify other skills or system-wide configs.
综合结论
This skill is a text-only operating procedure for running long tasks on GPT-5.4 and, by itself, poses minimal installation risk. Before using it in live runs, be prepared to: (1) deny or carefully scope any runtime requests for credentials to external services (Azure, GitHub, Microsoft Graph, etc.); (2) review and control what artifacts the agent writes or uploads (use least privilege and restricted folders); (3) monitor any autonomous actions…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Safe Long-Run Mode GPT5.4」。简介：Operate long-running tasks safely when the environment is optimized for GPT-5.4…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/bwiley1989/safe-long-run-mode-gpt54/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
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.