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Clawhub

作者 Mr.Octopus · GitHub ↗ · v1.5.8
linuxwin32darwin ✓ 安全检测通过
414
总下载
0
收藏
0
当前安装
10
版本数
在 OpenClaw 中安装
/install octoflow
功能描述
Use when the user wants to run GPU-accelerated computations, analyze data, process images/audio/video, train ML models, or generate code from natural languag...
安全使用建议
This skill appears to be what it claims: a front-end to a local 'octoflow' GPU binary. Before installing or running it: (1) ensure you obtain the octoflow binary from the official GitHub release page and verify the exact asset name and checksum (the SKILL.md's install URL is missing the asset filename); (2) be deliberate when granting --allow-read / --allow-write / --allow-net / --allow-exec flags — only allow the minimal paths/domains/commands needed; (3) running octoflow mcp-serve exposes a local RPC endpoint to your agent — only enable that if you trust the binary and your agent config; (4) expect OctoFlow to write small preference files to ~/.octoflow and per-project .octoflow/; and (5) if you need stronger assurance, verify the release signature/checksum on GitHub or build the binary from source.
功能分析
Type: OpenClaw Skill Name: octoflow Version: 1.5.8 OctoFlow is a GPU-native programming language and MCP server designed for data analysis, machine learning, and image processing via Vulkan. The skill bundle (SKILL.md, _meta.json) describes a legitimate tool with a well-defined security model featuring Deno-style explicit permissions (e.g., --allow-read, --allow-net) to prevent unauthorized access. There are no indicators of malicious intent, data exfiltration, or prompt injection; the tool's capabilities are transparently documented and aligned with its stated purpose.
能力评估
Purpose & Capability
The name/description match the declared runtime requirement (an 'octoflow' binary) and the SKILL.md instructions show only operations relevant to GPU compute, data analysis, and running an MCP server. Requiring a local octoflow binary is reasonable for this functionality.
Instruction Scope
Runtime instructions are narrowly scoped: run the octoflow binary, pass permission flags, run as an MCP server for agent integration, and operate on user-permitted files/domains. The SKILL.md adheres to a deny-by-default permission model and does not instruct reading unrelated system files or exfiltrating secrets.
Install Mechanism
The SKILL.md includes an install hint pointing to GitHub Releases (a normal source). However the provided URL ends at the release directory (no specific asset filename) which is an inconsistency and would need resolution by an installer. Overall, using GitHub Releases is expected and low risk compared to arbitrary hosts.
Credentials
The skill declares no required environment variables or credentials. It does note that OctoFlow may save preferences under ~/.octoflow and per-project .octoflow/ which is plausible and proportionate to the tool's function.
Persistence & Privilege
always is false and the skill does not request permanent elevated platform privileges. It can run a local MCP server (expected for agent integration) — this grants a local RPC surface only when the user starts it or allows the agent to. The deny-by-default flags limit automatic access.
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 octoflow
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /octoflow 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
v1.5.8
v1.5.8: 445 stdlib modules, 150 GPU kernels, 4.5 MB binary, Loom Engine v2, SHA-256 checksums
v1.4.1
- Added macOS (Apple Silicon) support to install instructions, platform table, and OS metadata. - Updated install section with macOS binary download link and SHA-256 instructions. - Expanded platform listings to reference macOS in key capabilities and requirements.
v1.4.0
OctoFlow 1.4.0 introduces expanded multimedia support and significant library growth. - Adds support for audio and video processing in addition to images. - Increases standard library to 303 modules across 20 domains, including 57 algorithm and 18 multimedia modules. - Bumps GPU compute kernels to 113 and built-in functions to 207. - Updates install/download links to version 1.4.0. - Skill description and feature tables updated to list the new capabilities.
v1.3.3
OctoFlow 1.3.3 - Documentation now emphasizes a strict "deny by default" permission/security model; details permissions table and explicit opt-in via `--allow-*` flags. - Updated links and download instructions: now points to latest GitHub Release; includes SHA-256 checksums for binaries. - Clarified supported platforms (Windows, Linux); macOS and Apple Silicon references removed. - Metadata refined: tags, permissions, and installation info simplified; OpenClaw requirements updated. - Data storage policy documented: user/project config stays local, fully opt-out with `--no-memory`. - General cleanup and conciseness improvements throughout SKILL.md.
v1.3.2
- Updated install instructions and metadata to use OctoFlow 1.3.0 binaries for both Windows and Linux platforms. - Added SHA-256 checksums for binary downloads. - Improved clarity in the install section for easier verification and reproducibility.
v1.3.1
- Improved and clarified the security model section, explicitly documenting default-deny permissions and Deno-style opt-in flags. - Clarified supported platforms, now explicitly listing only Windows and Linux in install and MCP support sections. - Updated installation instructions with versioned binary links and SHA-256 checksums for added security. - Enhanced the data storage section to document exactly what OctoFlow stores, how to disable it, and ensured clarity around privacy (no telemetry, no network unless allowed). - Minor updates to tags, required bins, and improved consistency in language and formatting.
v1.3.0
OctoFlow 1.3.0 introduces MCP server support and expands platform features: - Added MCP server mode (`octoflow mcp-serve`) for integration with AI agent systems. - 7 new structured tools via JSON-RPC 2.0, including GPU compute, stats, image, and CSV analysis. - Detailed instructions for MCP integration with OpenClaw, Claude Desktop, Cursor, and Windsurf. - New features: persistent cross-session memory, project config, auto-skill loading, and knowledge tree context engine. - Expanded platform compatibility notes, now highlighting Apple Silicon support through MoltenVK.
v1.2.2
OpenClaw-optimized: metadata.openclaw frontmatter, trigger-explicit body, agent-comprehension patterns, declared permissions and install spec.
v1.2.1
Fix security scan warnings: declared permissions in frontmatter, GitHub Releases as primary install, added sandbox documentation, softened example prompts.
v1.2.0
GPU-native language with natural language chat mode.
元数据
Slug octoflow
版本 1.5.8
许可证
累计安装 0
当前安装数 0
历史版本数 10
常见问题

Clawhub 是什么?

Use when the user wants to run GPU-accelerated computations, analyze data, process images/audio/video, train ML models, or generate code from natural languag... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 414 次。

如何安装 Clawhub?

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

Clawhub 是免费的吗?

是的,Clawhub 完全免费(开源免费),可自由下载、安装和使用。

Clawhub 支持哪些平台?

Clawhub 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, win32, darwin)。

谁开发了 Clawhub?

由 Mr.Octopus(@mikedconcepcion)开发并维护,当前版本 v1.5.8。

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