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Video Editing With Gopro
作者
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
104
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editing-with-gopro
功能描述
Turn a 3-minute GoPro hiking clip in MP4 into 4K edited action clips just by typing what you need. Whether it's trimming and polishing GoPro action footage f...
安全使用建议
This skill appears to be a wrapper around a remote video-processing API (nemovideo). Before installing: (1) Confirm you trust the external domain (https://mega-api-prod.nemovideo.ai) and its privacy/terms — your raw video will be uploaded to that service. (2) Ask the author or vendor to resolve contradictions: the skill advertises 4K output but the pipeline text says up to 1080x1920. (3) Clarify where and how tokens/session IDs are stored (in memory vs written to ~/.config/nemovideo/) and whether anonymous tokens created automatically will be persisted. (4) If you have sensitive footage, do not use the skill until you confirm retention, access controls, and deletion policies for uploaded videos. (5) If you want stronger assurance, request the skill author to remove install-path probing for X-Skill-Platform (or document exactly what is read) and to make token-creation explicit (ask for user consent) rather than automatic.
功能分析
Type: OpenClaw Skill
Name: video-editing-with-gopro
Version: 1.0.0
The skill facilitates cloud-based video editing by connecting to a third-party API (mega-api-prod.nemovideo.ai). It instructs the agent to automatically provision anonymous authentication tokens, upload user-provided video files to remote servers, and perform environment fingerprinting by detecting its installation path (e.g., ~/.cursor/skills/) for platform attribution. While these capabilities are aligned with the stated purpose of the skill, the combination of outbound network communication, file exfiltration to a third-party service, and local directory discovery constitutes high-risk behavior under the provided security criteria. No clear evidence of intentional malice or unauthorized theft of sensitive credentials (like SSH or AWS keys) was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The skill's name and description match a remote video-editing service that would reasonably require an API token. However there are clear mismatches: the frontmatter/description promises "4K" outputs, while the Cloud Render Pipeline text limits outputs to H.264 up to 1080x1920. Registry metadata (earlier summary) lists no config paths, but the SKILL.md frontmatter references a config path (~/.config/nemovideo/). These inconsistencies reduce confidence that the declared capabilities and constraints are accurate.
Instruction Scope
The runtime instructions will (1) automatically request an anonymous token from an external endpoint if NEMO_TOKEN is absent, (2) create and store a session_id for subsequent API calls, and (3) require the agent to determine install path to set X-Skill-Platform header (which implies probing filesystem locations like ~/.clawhub/ or ~/.cursor/skills/). Auto-generating and storing API tokens and probing install paths go beyond simple editing and raise privacy and scope questions. The instructions also tell the agent to upload user video files (expected) and to avoid showing raw tokens to users (good practice).
Install Mechanism
This is an instruction-only skill with no install spec and no code files — lowest disk/installation risk.
Credentials
Only one environment variable (NEMO_TOKEN) is declared as required, which is proportionate for an API-backed service. But SKILL.md both references an on-disk config path (~/.config/nemovideo/) and instructs creating an anonymous token at runtime when NEMO_TOKEN is absent; it's unclear whether tokens/session IDs are persisted to disk or only kept in memory. The token generation behavior means the skill can obtain credentials without explicit user-provided keys, which is plausible but should be communicated to users.
Persistence & Privilege
The skill does not request always:true or other elevated platform privileges, and there is no install-time code writing to system locations. The only persistence implied is storing a session_id / token for session management; storage location and lifetime are unspecified.
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 video-editing-with-gopro - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-editing-with-gopro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
Initial release of "Video Editing with GoPro"
- Instantly edit and export GoPro action footage up to 4K by describing your edits.
- No need for manual timeline editing or export settings; just upload and type instructions.
- Fast server-side processing on cloud GPU nodes — most jobs complete within minutes.
- Supports trimming, stabilization, background music, text overlays, batching, and iterative workflows.
- 100 free usage credits available via anonymous sign-in.
- Supports major video and audio formats (MP4, MOV, AVI, MP3, WAV, etc).
- Built-in error handling for upload, credits, and export issues.
元数据
常见问题
Video Editing With Gopro 是什么?
Turn a 3-minute GoPro hiking clip in MP4 into 4K edited action clips just by typing what you need. Whether it's trimming and polishing GoPro action footage f... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 104 次。
如何安装 Video Editing With Gopro?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editing-with-gopro」即可一键安装,无需额外配置。
Video Editing With Gopro 是免费的吗?
是的,Video Editing With Gopro 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Editing With Gopro 支持哪些平台?
Video Editing With Gopro 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 Video Editing With Gopro?
由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。
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