Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/feimacode/feima-copilot-llms-extension/cloud-agentsgit clone --depth 1 https://github.com/feimacode/feima-copilot-llms-extensionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/feimacode/feima-copilot-llms-extension/cloud-agents)<a href="https://agentmods.dev/agents/feimacode/feima-copilot-llms-extension/cloud-agents"><img src="https://agentmods.dev/badge/agents/feimacode/feima-copilot-llms-extension/cloud-agents.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00034 | $0.02153 |
| Opus 5 | $0.00017 | $0.01077 |
| Sonnet 5 | $0.00007 | $0.00431 |
| Haiku 4.5 | $0.00003 | $0.00215 |
Grade A, and why
cloud-agents scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
云端智能体(Cloud Agent)运行在远程基础设施上，并通过拉取请求(Pull Request)与 GitHub 仓库集成，实现团队协作。例如，GitHub Copilot 云端智能体(Cloud Agent)运行在 GitHub 的基础设施上，能够自主实现功能、处理代码审查反馈并开启拉取请求(Pull Request)。
本文介绍云端智能体(Cloud Agent)的核心功能，以及如何启动和管理云端智能体(Cloud Agent)会话(Agent Session)，适用于从简单到复杂的各类编码任务。
什么是云端智能体(Cloud Agent)？
与在本机运行的本地智能体(Local Agent)和后台智能体(Agent)不同，云端智能体（如 Copilot 云端智能体(Cloud Agent)）运行在远程基础设施上。你可以从 VS Code 中统一的聊天视图查看和管理所有云端智能体(Cloud Agent)会话(Agent Session)。该视图还支持直接在 VS Code 中创建新的云端智能体(Cloud Agent)会话(Agent Session)，或将本地/后台智能体(Agent)对话移交给云端智能体(Cloud Agent)。
VS Code 支持多种云端智能体(Cloud Agent)，例如 Copilot 云端智能体(Cloud Agent)，以及 Claude 和 Codex 等第三方智能体(Third-party Agent)。
由于云端智能体(Cloud Agent)在没有用户交互的情况下远程运行，非常适合范围明确、所需上下文齐备的任务。与拉取请求(Pull Request)的集成使它们对于团队协作非常有效。
但由于远程执行环境的限制，云端智能体(Cloud Agent)无法直接访问 VS Code 内置工具和运行时上下文（如失败的测试或文本选择）。它们仅限于云端智能体(Cloud Agent)服务中配置的 MCP 服务器和语言模型(Language Model)。
要将任务分配给云端智能体(Cloud Agent)，可以直接从聊天视图创建新的云端会话，也可以将 VS Code 中的本地或后台智能体(Agent)对话移交给云端智能体(Cloud Agent)。
GitHub Copilot 云端智能体(Cloud Agent)
**GitHub Copilot 云端智能体(Cloud Agent)**是 VS Code 中随 Copilot 订阅提供的主要云端智能体(Cloud Agent)。
💡 国内用户替代方案 除了 GitHub Copilot 官方订阅，您也可以使用 飞码扣插件 — 在 GitHub Copilot Chat 中直接使用通义千问(Qwen3)、DeepSeek V3.2、GLM-5 等国内顶级 AI 模型，按次计费，无需月付订阅。立即开始 → 打开飞码扣
核心功能包括：
- 跨 GitHub 仓库的大规模重构
- 从高层需求完整实现功能
- 自动生成详细描述的拉取请求(Pull Request)
- 代码审查集成和反馈处理
第三方云端智能体(Cloud Agent)
VS Code 支持将 Claude 编程智能体(Agent)和 Codex 编程智能体(Agent)等第三方云端智能体(Cloud Agent)作为云端会话选项。在 VS Code 中使用它们之前，需要在 Copilot 账号设置中启用对云端第三方智能体(Third-party Agent)的支持。
无需安装提供商的 VS Code 扩展即可在 VS Code 中使用其云端智能体(Cloud Agent)。
了解更多：VS Code 中的第三方智能体(Third-party Agent)以及如何启用它们。
启动云端智能体(Cloud Agent)会话(Agent Session)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 105 lines · 34 tokens per session scan A a4724227847c
cloud-agents is an agent published in the GitHub repository feimacode/feima-copilot-llms-extension (5 stars, last pushed 7d ago), licensed MIT. It adds 34 tokens to every session and 2,153 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
agent_types
This document describes how the unified three-layer Device Agent architecture is implemented across different platforms. While the core framework (State, Processor, Command layers) remains consistent, each platform implements specialized agents optimized for their native control mechanisms and hierarchies.…
server_client_architecture
Device agents in UFO are partitioned into server and client components, separating high-level orchestration from low-level execution. This architecture enables safe, scalable, and flexible task execution across heterogeneous devices through the Agent Interaction Protocol (AIP).
advisor
Opus 级高级技术顾问，提供第二意见、方案比较和风险审阅。适用于技术选型、实现规划、架构/API/并发/安全问题、疑难 bug 根因、代码或调查结论审阅，以及任何需要判断“是否/哪种/怎么做”的任务；可读取调用方明确列出的证据文件，不负责实现或验证。.
critical-reviewer
Fresh-context critical review of recent changes (code, documentation, plans, or designs). Read-only. Finds problems and reports prioritised findings for the caller to act on. Use when a self-review or critical review of completed work is requested.
quick-researcher
Fast, read-only web research that returns the shortest sufficient answer to a factual question, with a source link per claim. Use for "what/which/when/how much/is X still..." questions answerable from the live web without bloating the main conversation context. Not for software implementation guides (use…
orchestrator
Agent "orchestrator" from openinterpreter/openinterpreter, covering user updates spec, reviews and general guidelines.