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cellcog

cellcog

作者 CellCog · GitHub ↗ · v2.0.24 · MIT-0
darwinlinuxwindows ⚠ suspicious
18646
总下载
8
收藏
0
当前安装
52
版本数
在 OpenClaw 中安装
/install cellcog
功能描述
Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code.
安全使用建议
Install only if you intend to delegate work to CellCog. Treat SHOW_FILE paths as uploads to an external service, avoid secrets and private directories, use narrow tools_selection values instead of enabling all SaaS tools, be careful with real Chrome profiles, and prefer task-specific output folders for generated files.
能力评估
⚠ Credentials
The skill asks agents to use an external service with local file uploads, automatic file downloads, real browser profile access, and connected SaaS integrations; these are high-impact capabilities and are only partially constrained by examples and warnings.
ℹ Install Mechanism
The artifact is a Markdown skill that instructs users to install the official CellCog Python SDK with pip and set CELLCOG_API_KEY; no bundled executable code or remote code execution payload was found in the artifact.
⚠ Instruction Scope
The manifest description is very broad, while runtime examples include uploading local files, enabling a real Chrome profile, and enabling connected SaaS tools, including an option that omits tool selection and therefore may allow all connected tools.
⚠ Persistence & Privilege
The skill documents persistent-machine workflows, background notification delivery, default downloads under ~/.cellcog, deterministic writes via GENERATE_FILE, and AI employees with memory and long-running behavior.
ℹ Purpose & Capability
The capabilities mostly fit the stated purpose of delegating multimodal work to CellCog, including file inputs, generated files, research, browser use, and connected tools.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cellcog
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cellcog 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.0.24
Content updated.
v2.0.23
Content updated.
v2.0.22
Content updated.
v2.0.21
Display title updated.
v2.0.20
Title and content updated.
v2.0.19
Display title updated.
v2.0.18
Content updated.
v2.0.17
- Documentation updated in SKILL.md; content revised or expanded. - Obsolete or redundant file skill-card.md removed.
v2.0.16
- Updated DeepResearch Bench ranking reference to July 2026 and clarified that leaderboard positions may change over time. - Removed stray future-dated leaderboard claim ("#1 on DeepResearch Bench (Apr 2026)") in favor of more accurate, dynamic wording. - Removed the file skill-card.md. - No behavioral changes; documentation refresh only.
v2.0.15
- Documentation clarifies that anything wrapped in <SHOW_FILE> tags is uploaded to CellCog; warns not to include credentials, private keys, or sensitive material as SHOW_FILE files. - Added a comparison to reference image attachments in Nano Banana to explain <SHOW_FILE> usage. - Installation section now specifies that cellcog is the official Python SDK, with source and PyPI links. - Wait/Notify mode comparison table updated: Notify mode is now OpenClaw-only, not available for other agents; clarified table language and guidance. - Minor edits for accuracy and improved guidance throughout the setup and usage sections; small formatting improvements.
v2.0.14
- Added support for new modalities: avatars and voice cloning in the SKILL description. - Updated description to reflect broader capabilities (now includes avatars and voice cloning in addition to existing formats). - No code or API changes—documentation/feature list update only.
v2.0.13
- Expanded description to emphasize agent-to-agent protocol and multi-step iteration for high accuracy. - Updated and clarified introductory sections to stress support for all output types, not just code. - Improved highlights of CellCog's DeepResearch Bench #1 ranking and modal capabilities. - Cleaned up and streamlined the documentation for easier understanding without removing key usage instructions. - Clarified that CellCog ensures all your work gets done, in any modality.
v2.0.12
- Updated the installation instruction to use `pip install -U cellcog` (was `pip install cellcog`). - No functional or API changes introduced in this update. - Documentation remains focused on setup, usage, and agent integration.
v2.0.11
- SKILL.md significantly shortened and streamlined. - Description made more concise while maintaining core features and DeepResearch Bench claim. - Long, detailed explanations and examples were retained, but general wording and metadata were made briefer. - Content after the "Response Shape" heading was cut off for brevity. - No changes to skill logic or API; documentation update only.
v2.0.10
- Added requirement to specify agent_provider when initializing CellCogClient (e.g., "openclaw", "cursor", "claude-code", "aider", "windsurf", "perplexity", "hermes", "script"). - Updated documentation examples, replacing agent_name with agent_provider for clarity and correct usage. - Improved onboarding instructions for better compatibility across agent frameworks.
v2.0.9
- Clarified SDK usage by specifying agent_name="openclaw" in code examples for both OpenClaw and non-OpenClaw agents. - Updated description to remove "deep research" to improve clarity. - No other functionality or interface changes.
v2.0.8
- Updated description to highlight deep research as a primary use case. - Minor text edits for clarity and emphasis in SKILL.md. - No functional or code-level changes; documentation only.
v2.0.7
cellcog 2.0.7 brings a streamlined description and onboarding for the #1 Any-to-Any agent sub-agent. - Updated SKILL.md with a concise, clearer description highlighting Any-to-Any capability, modal coverage, and high-accuracy agent-to-agent protocol. - Refined install/setup guidance and emphasized practical SDK use for research, documents, images, audio, video, code, diagrams, and more. - Improved positioning for sub-agent and multi-step workflows, clarifying CellCog's value beyond code output. - No code or API changes in this version; documentation only.
v2.0.6
- Clarified how to use <SHOW_FILE> tags for file inputs; added explicit DOs and DON'Ts. - Added guidance on explicitly requesting output artifacts to ensure correct deliverables. - Separated OpenClaw (notify) and universal (wait) usage sections with clearer instructions and mode selection table. - Enhanced explanations on when to use "notify" vs "wait" workflow for various agent scenarios. - Improved warnings on always printing the full response message. - General documentation restructuring and clarification for better usability.
v2.0.5
CellCog 2.0.5 – Revised API Usage & Docs - Updated SKILL.md with new task creation patterns and clearer guidance for both "wait for completion" (blocking, universal) and "notify on completion" (OpenClaw/daemon) modes. - Clarified SDK response shape; emphasized always printing the full message for complete outputs and follow-ups. - Improved timeout and resumption handling instructions. - Added more details for optional parameters and the notification system. - Removed SKILL_original.md (now redundant).
元数据
Slug cellcog
版本 2.0.24
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 52
常见问题

cellcog 是什么?

Any-to-any AI sub-agent — research, images, video, audio, music, podcasts, avatars, voice cloning, documents, spreadsheets, dashboards, 3D models, diagrams, and code in one request. Agent-to-agent protocol with multi-step iteration for high accuracy. #1 on DeepResearch Bench (Apr 2026) — deep reasoning meets all modalities, so all your work gets done, not just code. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 18646 次。

如何安装 cellcog?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cellcog」即可一键安装,无需额外配置。

cellcog 是免费的吗?

是的,cellcog 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

cellcog 支持哪些平台?

cellcog 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, windows)。

谁开发了 cellcog?

由 CellCog(@cellcog)开发并维护,当前版本 v2.0.24。

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