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Vheer Ai
作者
vynbosserman65
· GitHub ↗
· v1.0.0
· MIT-0
81
总下载
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当前安装
1
版本数
在 OpenClaw 中安装
/install vheer-ai
功能描述
Tired of navigating Vheer's features without guidance or spending hours figuring out what to create next? vheer-ai is your dedicated AI companion built to ma...
安全使用建议
This skill appears coherent for controlling Vheer/Nemo cloud features, but before installing: 1) confirm you trust the nemo/vheer endpoints (https://mega-api-prod.nemovideo.ai) because your prompts, uploads, and generated content will be sent there; 2) if you already have a NEMO_TOKEN, prefer supplying it rather than letting the skill obtain an anonymous token; 3) the skill may check paths under your home directory (~/.clawhub/, ~/.cursor/, ~/.config/nemovideo/) to set attribution headers — if you’re uncomfortable with that, ask the author to avoid filesystem probing; and 4) note the package source is 'unknown' and there is no homepage — if you need stronger assurance, request provenance or a vendor link before installing.
能力评估
Purpose & Capability
The skill declares and uses a single service credential (NEMO_TOKEN) and documents API endpoints for nemo/vheer video workflows; these requirements are consistent with an assistant that drives the Vheer/Nemo cloud API.
Instruction Scope
Instructions are primarily API calls to https://mega-api-prod.nemovideo.ai (session creation, SSE, upload, export). They also describe reading the skill's YAML frontmatter and detecting install paths under the user's home directory to set an X-Skill-Platform header — this requires probing the user's home directory but is limited in scope. The skill will request/stream user content to the listed API endpoints (expected for this integration).
Install Mechanism
Instruction-only skill with no install spec or external downloads; nothing is written to disk by an installer as part of the skill bundle itself.
Credentials
Only NEMO_TOKEN is required (declared as primary). The runtime also supports fetching an anonymous token from the nemo API if NEMO_TOKEN is absent; requesting a single service token is proportionate to the described functionality.
Persistence & Privilege
Skill does not request elevated or persistent platform privileges (always:false). It reads local install paths for attribution detection and uses ephemeral session tokens for API access, which is reasonable for this use case.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install vheer-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/vheer-ai触发 - 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
v1.0.0
vheer-ai 1.0.0 — Initial Release
- Introduces an AI assistant tailored for Vheer platform users, streamlining content ideation, workflow management, and automation.
- Built-in onboarding: guides users to connect via NEMO_TOKEN or anonymous session for immediate access.
- Supports generating prompts, creative briefs, campaign plans, and titles/descriptions, optimized for Vheer workflows.
- Seamless interaction with Vheer Cloud API for session management, uploads, state, export, and credit checks.
- Clear error handling and real-time status updates during operations.
- Designed as a smart shortcut for creators, marketers, and teams to maximize productivity and creativity on Vheer.
元数据
常见问题
Vheer Ai 是什么？
Tired of navigating Vheer's features without guidance or spending hours figuring out what to create next? vheer-ai is your dedicated AI companion built to ma... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 81 次。
如何安装 Vheer Ai？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vheer-ai」即可一键安装，无需额外配置。
Vheer Ai 是免费的吗？
是的，Vheer Ai 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Vheer Ai 支持哪些平台？
Vheer Ai 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Vheer Ai？
由 vynbosserman65（@vynbosserman65）开发并维护，当前版本 v1.0.0。
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