MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
A skill your agent uses when the host coding agent should control an AutoDL or SSH server from the local machine, run remote commands, and explicitly upload or download selected files.
$ npx skills add haibarazz/awesome-codex-research --skill autodl-remote -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install haibarazz/awesome-codex-research autodl-remote --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/haibarazz/awesome-codex-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/autodl-remote/skills/autodl-remote .claude/skills/autodl-remote && 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 "autodl-remote" agent skill from https://github.com/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remote into .claude/skills/autodl-remote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodl-remote", 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/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remoteType 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 haibarazz/awesome-codex-research --skill autodl-remote -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install haibarazz/awesome-codex-research autodl-remote --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haibarazz/awesome-codex-research.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/autodl-remote/skills/autodl-remote .agents/skills/autodl-remote && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autodl-remote" agent skill from https://github.com/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remote into .agents/skills/autodl-remote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodl-remote", 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 haibarazz/awesome-codex-research --skill autodl-remote -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install haibarazz/awesome-codex-research autodl-remote --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haibarazz/awesome-codex-research.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/autodl-remote/skills/autodl-remote .cursor/skills/autodl-remote && 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 "autodl-remote" agent skill from https://github.com/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remote into .cursor/skills/autodl-remote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodl-remote", 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/haibarazz/awesome-codex-research.git --path plugins/autodl-remote/skills/autodl-remote--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 haibarazz/awesome-codex-research --skill autodl-remote -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install haibarazz/awesome-codex-research autodl-remote --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haibarazz/awesome-codex-research.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/autodl-remote/skills/autodl-remote .gemini/skills/autodl-remote && 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 "autodl-remote" agent skill from https://github.com/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remote into .gemini/skills/autodl-remote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodl-remote", 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 haibarazz/awesome-codex-research autodl-remoteInstalls 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 haibarazz/awesome-codex-research --skill autodl-remote -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/haibarazz/awesome-codex-research.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/autodl-remote/skills/autodl-remote .github/skills/autodl-remote && 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 "autodl-remote" agent skill from https://github.com/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remote into .github/skills/autodl-remote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodl-remote", 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 haibarazz/awesome-codex-research --skill autodl-remote -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install haibarazz/awesome-codex-research autodl-remote --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/haibarazz/awesome-codex-research.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/autodl-remote/skills/autodl-remote .opencode/skills/autodl-remote && 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 "autodl-remote" agent skill from https://github.com/haibarazz/awesome-codex-research/tree/main/plugins/autodl-remote/skills/autodl-remote into .opencode/skills/autodl-remote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autodl-remote", 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.
autodl-remoteA skill your agent uses when the host coding agent should control an AutoDL or SSH server from the local machine, run remote commands, and explicitly upload or download selected files.
Autodl Remote is an agent skill from haibarazz/awesome-codex-research. Use when the host coding agent should control an AutoDL or SSH server from the local machine, run remote commands, and explicitly upload or download selected files.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Model Context Protocol.
Read from SKILL.md and the folder at commit e3ca125. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Autodl Remote loads about 2.7k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 1,247 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.
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); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,247 words (~2,668 tokens).
“Use this skill when the user wants the host coding agent to work locally while controlling AutoDL through SSH.”
Just SKILL.md in plugins/autodl-remote/skills/autodl-remote of haibarazz/awesome-codex-research.
Open the folder on GitHubat commit e3ca125
Autodl Remote 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 |
|---|---|---|---|---|---|---|
| Autodl Remote this skillhaibarazz/awesome-codex-research | 100 | — | ~2.7k | Automated safety check: Pass | None | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.4k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
warpdotdev/warp
Required groundwork before any use_figma call: the rules and reference files for running JavaScript in a Figma file through the Plugin API without common failures.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
haibarazz/awesome-codex-research
Run rigorous end-to-end autonomous ML and AI research after a user provides a dataset, target, and research budget.
haibarazz/awesome-codex-research
Guide a complete baseline-first ML or computational data-science method-innovation project, from workspace and direction discovery through finding and running common and recent baselines, diagnosing…
haibarazz/awesome-codex-research
A skill your agent uses when AutoDL Remote should run or monitor long remote jobs through tmux panes.
haibarazz/awesome-codex-research
Plan, execute, monitor, verify, compare, and document reproducible machine-learning experiments.
haibarazz/awesome-codex-research
面向信息系统计算设计科学(CDS)研究,根据用户的数据、研究情境与研究问题,分别识别问题/理论视角和技术/算法两条文献对话线,检索并核验全文,制作可追溯的文献对话地图,最终澄清研究的最近邻、理论祖先、方法缺口与可辩护定位。适用于选题定位、相关工作规划、方法定位和后续综述;核心不是代写文献综述。
haibarazz/awesome-codex-research
结合论文原文拆解审稿意见为最小可回应原子问题,规划补实验与回复构思两条工作线,归组共同关切,并输出带忠实中文翻译注释、每条 comment 一份建议逻辑和原子点英文小标题的可编译 LaTeX 回复骨架。用于返修规划、review decomposition、atomic concerns、rebuttal strategy 和回复信模板生成;完整回复正文留待作者后续撰写。
Works with
A skill your agent uses when the host coding agent should control an AutoDL or SSH server from the local machine, run remote commands, and explicitly upload or download selected files. Autodl Remote is an agent skill from haibarazz/awesome-codex-research. Use when the host coding agent should control an AutoDL or SSH server from the local machine, run remote commands, and explicitly upload or download selected files.
Autodl Remote fits situations like: the host coding agent should control an AutoDL; SSH server from the local machine; run remote commands; explicitly upload.
Run `npx skills add haibarazz/awesome-codex-research --skill autodl-remote -a claude-code`. Or copy the skill folder (plugins/autodl-remote/skills/autodl-remote in haibarazz/awesome-codex-research) into .claude/skills/autodl-remote in your project. Claude Code loads it when a task matches its description.
Run `npx skills add haibarazz/awesome-codex-research --skill autodl-remote -a codex`. Or copy the skill folder (plugins/autodl-remote/skills/autodl-remote in haibarazz/awesome-codex-research) into .agents/skills/autodl-remote in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add haibarazz/awesome-codex-research --skill autodl-remote -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autodl-remote, .gemini/skills/autodl-remote, .github/skills/autodl-remote and .opencode/skills/autodl-remote in your project.
Going by SKILL.md and its folder, Autodl Remote needs the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
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. Review the folder before installing.
No licence was found for Autodl Remote or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Autodl Remote: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
haibarazz (a GitHub user) maintains it in haibarazz/awesome-codex-research, which has 100 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 23, 2026.
Source: haibarazz/awesome-codex-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.