Tao Run Automl
NVIDIA/skills
Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner.
为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。
Install Autoresearch Run Isolation
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-run-isolation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/autoresearch-run-isolation .claude/skills/autoresearch-run-isolation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "autoresearch-run-isolation" agent skill from https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolation into .claude/skills/autoresearch-run-isolation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-run-isolation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-run-isolation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/autoresearch-run-isolation .agents/skills/autoresearch-run-isolation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autoresearch-run-isolation" agent skill from https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolation into .agents/skills/autoresearch-run-isolation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-run-isolation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-run-isolation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/autoresearch-run-isolation .cursor/skills/autoresearch-run-isolation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "autoresearch-run-isolation" agent skill from https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolation into .cursor/skills/autoresearch-run-isolation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-run-isolation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/bosprimigenious/autoresearch-skills.git --path skills/autoresearch-run-isolation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-run-isolation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/autoresearch-run-isolation .gemini/skills/autoresearch-run-isolation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "autoresearch-run-isolation" agent skill from https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolation into .gemini/skills/autoresearch-run-isolation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-run-isolation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-run-isolationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/autoresearch-run-isolation .github/skills/autoresearch-run-isolation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "autoresearch-run-isolation" agent skill from https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolation into .github/skills/autoresearch-run-isolation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-run-isolation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bosprimigenious/autoresearch-skills autoresearch-run-isolation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/autoresearch-run-isolation .opencode/skills/autoresearch-run-isolation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "autoresearch-run-isolation" agent skill from https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-run-isolation into .opencode/skills/autoresearch-run-isolation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoresearch-run-isolation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
autoresearch-run-isolation- GitHub stars
- 153
- Token cost
- ~553 tokens
- SKILL.md length
- 129 words
- Files
- 15 (incl. scripts, references, assets)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。
- Tasks that involve Autonomous loops
- Runs Python scripts from its folder
- Tasks that involve Containers
What it does
Autoresearch Run Isolation is an agent skill from bosprimigenious/autoresearch-skills. 为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts, reference files and assets (for example `AGENTS.md`, `CLAUDE.md` and `agents/openai.yaml`).
It sits in Agent Workflows, covering Autonomous loops and Containers. It works with Docker and NVIDIA AI Platform. The repository describes itself as: Reusable skills for AutoResearch task design, isolation, QA, and handoff. The licence is MIT.
When your agent uses it
- Tasks that involve Autonomous loops
- Tasks that involve Containers
Example prompts
- “/autoresearch-run-isolation”
Requirements
- Python 3
- Docker
What it can do on your machine
Read from SKILL.md and the folder at commit d8ff7e2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Autoresearch Run Isolation loads about 553 tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 129 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from bosprimigenious/autoresearch-skills at commit d8ff7e2, republished under its MIT licence (© bosprimigenious). 129 words, ~553 tokens.
Download SKILL.mdSave it as
.claude/skills/autoresearch-run-isolation/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.- name
- autoresearch-run-isolation
- description
- 为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。
AutoResearch 运行协议与隔离
先读 协议与隔离不变量。涉及租卡先读 成本与容量；涉及容器或 Harbor 再读 Docker 执行与 Harness 边界；接管单卡 NVIDIA 虚机、排查长跑停滞、处理 GPU backend 或 CUDA 缓存问题时读 单卡 NVIDIA Docker 现场蒸馏；准备停机、释放实例或冻结最终包时再读 最终化与关机。优先复用成熟运行协议；每题只实现任务适配器与可信评测器。
运行前冻结任务树并计算逐文件哈希；两条 Agent 轨迹使用同一公共任务摘要，但使用独立 workspace、控制目录、端口、上下文、凭据和轨迹目录。候选进程只能看到 Starter 与公开资产，Reference、专家证据和另一条轨迹不得进入其挂载范围。模型名称与 provider 是任务参数，不写死为某一家服务。
把指标、阈值、随机性协议、两条轨迹、开发环境、目标 Harness、持久快照、停止条件、liveness 协议、provider 硬失败策略和 durable evaluator 重试规则写入 JSON 合同，并在租卡前运行 scripts/preflight.py。GPU 任务还必须记录目标 backend 当前版本的能力依据。
第三方服务器声称内置 Docker 时，先用 scripts/docker_host_preflight.py 检查 daemon、Compose、存储和可选 NVIDIA runtime；GPU 场景再用本地已有、digest 固定的镜像执行显式动态 probe。随后分别取得 Agent 镜像、Verifier 镜像和目标 backend 的真实 GPU Trial。宿主有 Docker、通用 CUDA 容器成功或 Harness dry-run 通过，都不能替代两条隔离 lane、双镜像构建或完整 reward 证据。
每轮保存原始 RPC、命令、评测摘要、receipt 和来源哈希。每个正式结果只绑定一个真实 run/trial；源码、配置、seed、receipt、artifact、checkpoint 与时间窗不得跨轮拼接。可用 scripts/verify_lineage.py 检查结构化索引。
有效时长以闭合 turn 窗口为基础，未闭合、排队、安装、阻塞、睡眠和故障不计。两条轨迹分别达门槛，不能相加。单 GPU 默认串行训练/评分；只有显式绑定不同设备且协议允许时才并行，避免资源竞争污染结果。
把外部模型数据流纳入隔离合同：明确会发送的 prompt、工具结果和评测摘要；子进程环境使用最小白名单，凭据只以显式环境变量注入。落盘前按真实 secret 值和通用 token 形态脱敏，但不得把脱敏当作零外发。公开轨迹只保留完成审计所需字段，不发布原始 RPC、作者路径、主机信息或 capability 链接。
恢复运行前比较任务摘要、driver capability、镜像 digest、已完成轮和远端 lease；不复用旧 PID 或不明控制目录。租赁实例不是唯一存储，关机前同步代码、轨迹、checkpoint、receipt 和成本台账，并至少做一次新容器或新实例恢复演练。
默认采用分阶段资源策略：本地/小卡清除功能问题，目标 GPU 按小时完成真实端到端 pilot，再按 scripts/plan_capacity.py 比较全小时、全包日和“小时 pilot + 包日正式窗口”。将关机后租不到、重建、延期和无法补测的期望损失纳入小时制；包日空闲是容量保险，不冒充计算利用率。模型 API 先检查模型、区域、配额周期和并发是否符合，再用 pilot 的真实用量比较套餐与按量价格。API、GPU 和存储分开记账，追加消费不能修复协议、血缘或 Harness 缺陷。
打包只从冻结源和显式白名单构建；构建后解压到新目录，比较完整路径集合与 SHA256，再交给 QA。主包、自检、轨迹和证据附件分别执行隐私检查，任一附件失败都不能发布。
本 skill 的 assets/compose.yaml 是普通 NVIDIA Docker 主机上的开发模板，不代表目标 Harbor backend 支持 GPU。目标平台能力以当前版本和真实运行证据为准；没有动态运行时只报告静态检查。
© bosprimigenious, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 14 other files (scripts, references, assets) in skills/autoresearch-run-isolation of bosprimigenious/autoresearch-skills.
- SKILL.md
- AGENTS.md
- CLAUDE.md
- agents/openai.yaml
- assets/compose.yaml
- references/cost-and-capacity.md
- references/docker-and-harness.md
- references/finalization-and-shutdown.md
- references/nvidia-docker-field-lessons.md
- references/protocol-and-isolation.md
- scripts/docker_host_preflight.py
- scripts/plan_capacity.py
- scripts/preflight.py
- scripts/test_tools.py
- scripts/verify_lineage.py
Open the folder on GitHubat commit d8ff7e2
Compare with similar skills
Autoresearch Run Isolation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Autoresearch Run Isolation this skillbosprimigenious/autoresearch-skills | 153 | — | ~553 | Automated safety check: Pass | MIT | |
| Tao Run AutomlNVIDIA/skills | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | |
| Megatron-LM Container and Dependency SetupNVIDIA/Megatron-LM | 18k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Generate Nemo Gym Envadithya-s-k/FineEnvs | 461 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Setup Workshopbrevdev/workshop-build-an-agent | 146 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Docker Ros2 Developmentarpitg1304/robotics-agent-skills | 369 | — | ~9.1k | Automated safety check: Notes | Apache-2.0 |
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Questions about Autoresearch Run Isolation
What does Autoresearch Run Isolation do?
为 AutoResearch 的双 Agent 轨迹、付费 GPU 长跑、Docker 执行、可信评测与恢复建立共享协议、成本决策和隔离边界。用于小时/包日选择、启动或恢复 campaign、设计证据与防止题目或轨迹串用；不替代具体任务算法或最终平台 QA。. Autoresearch Run Isolation is an agent skill from bosprimigenious/autoresearch-skills.
When should I use Autoresearch Run Isolation?
Autoresearch Run Isolation fits situations like: tasks that involve Autonomous loops; tasks that involve Containers.
How do I install Autoresearch Run Isolation in Claude Code?
Run `npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a claude-code`. Or copy the skill folder (skills/autoresearch-run-isolation in bosprimigenious/autoresearch-skills) into .claude/skills/autoresearch-run-isolation in your project. Claude Code loads it when a task matches its description.
How do I install Autoresearch Run Isolation in Codex?
Run `npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a codex`. Or copy the skill folder (skills/autoresearch-run-isolation in bosprimigenious/autoresearch-skills) into .agents/skills/autoresearch-run-isolation in your project. Codex loads it when a task matches its description.
Can I use Autoresearch Run Isolation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bosprimigenious/autoresearch-skills --skill autoresearch-run-isolation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autoresearch-run-isolation, .gemini/skills/autoresearch-run-isolation, .github/skills/autoresearch-run-isolation and .opencode/skills/autoresearch-run-isolation in your project.
What does Autoresearch Run Isolation need to run?
Going by SKILL.md and its folder, Autoresearch Run Isolation needs Python for the scripts in its folder. Our summary lists: Python 3; Docker.
Does Autoresearch Run Isolation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Autoresearch Run Isolation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Autoresearch Run Isolation use?
Autoresearch Run Isolation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Autoresearch Run Isolation use?
About 553 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.6k tokens, read only when the agent opens those files.
What are the alternatives to Autoresearch Run Isolation?
Skills that share tags, products or a category with Autoresearch Run Isolation: Tao Run Automl (NVIDIA/skills, 3.6k stars), Megatron-LM Container and Dependency Setup (NVIDIA/Megatron-LM, 18k stars), Generate Nemo Gym Env (adithya-s-k/FineEnvs, 461 stars) and Setup Workshop (brevdev/workshop-build-an-agent, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Autoresearch Run Isolation?
bosprimigenious (a GitHub user) maintains it in bosprimigenious/autoresearch-skills, which has 153 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 4, 2026.
Source: bosprimigenious/autoresearch-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.