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Sports Highlight Ai
作者
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
57
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install sports-highlight-ai
功能描述
generate raw game footage into highlight reel clips with this skill. Works with MP4, MOV, AVI, MKV files up to 500MB. coaches, sports creators, team managers...
安全使用建议
This skill appears to do what it says (upload video to a cloud renderer and return highlight MP4s), but there are two reasons to be cautious: (1) the skill sends your videos and session tokens to an external domain (mega-api-prod.nemovideo.ai) — don't upload footage you consider private or confidential; (2) provenance is missing (no homepage or source repo) and there's an inconsistency about a config path in the skill frontmatter. Before installing or using: verify the vendor or official endpoint; prefer using a token with limited scope/expiry; avoid uploading sensitive footage; ask the publisher for a privacy policy and confirmation of where tokens/session IDs are stored; and request clarification about the frontmatter config path discrepancy. If you can provide the skill's source repo or an official homepage, I can re-evaluate with higher confidence.
功能分析
Type: OpenClaw Skill
Name: sports-highlight-ai
Version: 1.0.0
The sports-highlight-ai skill is a legitimate integration for a cloud-based video processing service (nemovideo.ai). The SKILL.md file provides clear instructions for the AI agent to manage authentication via the NEMO_TOKEN environment variable or an anonymous token generation process. It defines standard API interactions for uploading footage, monitoring processing status via SSE, and exporting the final MP4 files. No indicators of data exfiltration, malicious code execution, or harmful prompt injection were identified.
能力评估
Purpose & Capability
The skill's declared purpose (turn raw game footage into highlight reels) matches the actions described (upload video, create session, run render/export, return download URL). Requiring a NEMO_TOKEN is appropriate for a third‑party API. However, SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata showed no required config paths — this mismatch in declared requirements is an inconsistency and provenance is unknown (no homepage/source).
Instruction Scope
The instructions clearly direct the agent to obtain/accept a token, create a session, upload user-supplied video files (multipart or URL), stream SSE, poll status, and fetch download URLs. Those actions are necessary for a cloud render pipeline. Important runtime behaviors: it uploads user content to https://mega-api-prod.nemovideo.ai, stores session_id and tokens, and asks to auto-detect install path for an attribution header. The upload of user media to a remote service is expected for this skill but is a privacy/exfiltration risk for sensitive footage. The install-path auto-detection instruction implies reading an agent install location — minor privacy/footprint concern.
Install Mechanism
No install spec or code files — instruction-only skill. This is the lowest install risk; nothing is written to disk by an installer step. The runtime instructions will make network calls, but there is no bundled arbitrary code to download/execute.
Credentials
Only NEMO_TOKEN is required (primaryEnv), which is proportionate for authenticating to the described API. Caveats: SKILL.md also references a local config path in frontmatter and instructs generating anonymous tokens and saving them, which implies storing credentials/session state. Requesting a single API token is reasonable, but you should confirm how tokens/session IDs are stored and rotated.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does persist session_id/token state for its own use (normal). It does not ask to modify other skills or system-wide settings.
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 sports-highlight-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/sports-highlight-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
Sports Highlight AI — initial release
- Instantly turns raw sports footage (MP4, MOV, AVI, MKV up to 500MB) into highlight reels using AI on cloud GPUs.
- Simple onboarding: automatic session creation and free token setup for new users.
- Supports direct upload or URL, with export of 1080p MP4 highlight clips in 1–3 minutes.
- Flexible workflows for coaches, content creators, and teams — batch edits, iterative previews, and easy timeline management.
- Clear error messages, credits checking, and file type guidance built in.
- Automatic mapping of user requests (export, upload, credits, status) to backend actions for a seamless experience.
元数据
常见问题
Sports Highlight Ai 是什么？
generate raw game footage into highlight reel clips with this skill. Works with MP4, MOV, AVI, MKV files up to 500MB. coaches, sports creators, team managers... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 57 次。
如何安装 Sports Highlight Ai？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sports-highlight-ai」即可一键安装，无需额外配置。
Sports Highlight Ai 是免费的吗？
是的，Sports Highlight Ai 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Sports Highlight Ai 支持哪些平台？
Sports Highlight 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 Sports Highlight Ai？
由 linmillsd7（@linmillsd7）开发并维护，当前版本 v1.0.0。
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