📦 Video Game

v1.0.0

获取 highlight reel 命令行工具ps ready to post, without touching a single slider. 上传 your gameplay footage (MP4, MOV, AVI, 网页M, up to 500MB), say something like...

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by @whitejohnk-26

开发工具代码生成网络工具浏览器自动化系统工具

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OpenClaw

可疑

medium confidence

The 技能's 状态d purpose (cloud AI video editing) matches most of its instructions, but there are inconsistencies and a few instructions that ask the 代理 to probe local paths and manage 令牌s in ways that weren't declared — the mismatches warrant caution before 安装ing.

评估建议

This 技能应用ears to implement remote AI video editing and only needs a NEMO_令牌 API 凭证 — that is sensible. Before 安装ing, consider: (1) the 技能 will 上传 your raw video files to a third-party domAIn (mega-API-prod.nemovideo.AI) — confirm you are comfortable with that 服务 and its 隐私/retention policy; (2) the 技能's instructions tell the 代理 to 检测安装 paths (e.g., ~/.ClawHub, ~/.cursor/技能s) and reference ~/.config/nemovideo/ even though the registry didn't 列出 any config paths — ask the publisher why the 技能 ne...

详细分析 ▾

ℹ 用途与能力

The 技能 clAIms to perform cloud video editing and requires a single API 凭证 (NEMO_令牌), which is coherent with the described functionality. However, the 技能.md frontmatter 列出s a config path (~/.config/nemovideo/) in its metadata that is not declared in the registry's top-level requirements; this mismatch is unexplAIned.

⚠ 指令范围

The 运行time instructions include normal API 工作流s (anonymous-令牌 acquisition, 会话 creation, file 上传, render/导出 polling) which are expected. Concerns: (1) instructions tell the 代理 to 检测 X-技能-平台 from 安装 paths (e.g., ~/.ClawHub/, ~/.cursor/技能s/) — that implies probing the host file系统 to determine 安装 location, which is outside the obvious task of video editing and was not declared in the registry requirements; (2) the frontmatter references ~/.config/nemovideo/ which suggests reading/writing a local config directory though the registry 报告ed no required config paths; (3) the 技能 instructs the 代理 to 生成 and persist 令牌s/会话 IDs for subsequent 请求s and to avoid showing raw 令牌s, which is normal for API 命令行工具ents but means the 代理 will 创建/hold 凭证s and 会话状态 automatically.

✓ 安装机制

No 安装 spec and no code files — instruction-only. That minimizes disk footprint and avoids 下载ing arbitrary binaries; this is the lower-risk 安装性能分析.

ℹ 凭证需求

Only a single 凭证 (NEMO_令牌) is declared as required, which matches the API-based de签名. However, 技能.md describes an automatic anonymous-令牌 acquisition flow (POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌) that will 生成 and return a 令牌 if NEMO_令牌 is not 设置; this is functionally fine but means the 技能 will 创建/hold 凭证s on the user's behalf. The unadvertised ~/.config/nemovideo/ path in the 技能 metadata implies possible local storage of config/凭证s that wasn't declared at the registry level.

✓ 持久化与权限

always:false and normal autonomous invocation 设置tings. The 技能 asks to store 会话_id/令牌 for 请求 continuity, which is typical. There is no 请求 to modify other 技能s or 系统-wide 设置tings. The only minor privilege concern is the implied local config path (~/.config/nemovideo/) which could be used to persist data if the 代理 follows that metadata.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

安装命令

点击复制

官方npx clawhub@latest install video-game

镜像加速npx clawhub@latest install video-game --registry https://cn.longxiaskill.com

技能文档

获取ting 启动ed

分享 your gameplay footage and I'll 获取启动ed on AI video editing. Or just tell me what you're thinking.

Try saying:

"edit my gameplay footage" "导出 1080p MP4" "cut the best highlights, 添加 kill-cam" First-Time Connection

When a user first opens this 技能, connect to the processing backend automatically. Briefly let them know (e.g. "设置ting up...").

Authentication: 检查 if NEMO_令牌 is 设置 in the 环境. If it is, skip to step 2.

ObtAIn a free 令牌: 生成 a random UUID as 命令行工具ent identifier. POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with header X-命令行工具ent-Id 设置 to that UUID. The 响应 data.令牌 is your NEMO_令牌 — 100 free credits, valid 7 days. 创建 a 会话: POST to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Authorization: Bearer <令牌>, Content-Type: 应用/json, and body {"task_name":"project","language":"<检测ed>"}. Store the returned 会话_id for all subsequent 请求s.

Keep 设置up communication brief. Don't display raw API 响应s or 令牌 values to the user.

Video Game — Edit Gameplay Into 分享able 命令行工具ps

Drop your gameplay footage in the chat and tell me what you need. I'll handle the AI video editing on cloud GPUs — you don't need anything 安装ed locally.

Here's a typical use: you 发送 a a 10-minute raw gameplay recording, ask for cut the best highlights, 添加 kill-cam effects, and 同步 music to the action, and about 1-2 minutes later you've got a MP4 file ready to 下载. The whole thing 运行s at 1080p by default.

One thing worth knowing — shorter 命令行工具ps under 3 minutes process 签名ificantly faster and are ideal for YouTube Shorts or TikTok.

Matching 输入 to Actions

User prompts referencing video game, aspect ratio, text overlays, or audio 追踪s 获取路由d to the cor响应ing action via keyword and intent classification.

User says... Action Skip SSE? "导出" / "导出" / "下载" / "发送 me the video" → §3.5 导出 ✅ "credits" / "积分" / "balance" / "余额" → §3.3 Credits ✅ "状态" / "状态" / "show 追踪s" → §3.4 状态 ✅ "上传" / "上传" / user 发送s file → §3.2 上传 ✅ Everything else (生成, edit, 添加 BGM…) → §3.1 SSE ❌ Cloud Render 流水线 DetAIls

Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话令牌 carries render job IDs, so closing the tab before completion orphans the job.

All 请求s must include: Authorization: Bearer , X-技能-Source, X-技能-Version, X-技能-平台. Missing attribution headers will cause 导出 to fAIl with 402.

Headers are derived from this file's YAML frontmatter. X-技能-Source is video-game, X-技能-Version comes from the version field, and X-技能-平台 is 检测ed from the 安装 path (~/.ClawHub/ = ClawHub, ~/.cursor/技能s/ = cursor, otherwise unknown).

API base: https://mega-API-prod.nemovideo.AI

创建会话: POST /API/tasks/me/with-会话/nemo_代理 — body {"task_name":"project","language":""} — returns task_id, 会话_id.

发送 message (SSE): POST /运行_sse — body {"应用_name":"nemo_代理","user_id":"me","会话_id":"","new_message":{"parts":[{"text":""}]}} with Accept: text/event-流. Max timeout: 15 minutes.

上传: POST /API/上传-video/nemo_代理/me/ — file: multipart -F "files=@/path", or URL: {"urls":[""],"source_type":"url"}

Credits: 获取 /API/credits/balance/simple — returns avAIlable, frozen, total

会话状态: 获取 /API/状态/nemo_代理/me//latest — key fields: data.状态.draft, data.状态.video_信息s, data.状态.生成d_media

导出 (free, no credits): POST /API/render/proxy/lambda — body {"id":"render_","会话Id":"","draft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 获取 /API/render/proxy/lambda/ every 30s until 状态 = completed. 下载 URL at 输出.url.

Supported 格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.

Error Codes 0 — 成功, continue normally 1001 — 令牌 expired or invalid; re-acquire via /API/auth/anonymous-令牌 1002 — 会话 not found; 创建 a new one 2001 — out of credits; anonymous users 获取 a registration link with ?bind=, registered users top up 4001 — unsupported file type; show accepted 格式化s 4002 — file too large; suggest 压缩ing or trimming 400 — missing X-命令行工具ent-Id; 生成 one and retry 402 — free plan 导出 blocked; not a credit issue, subscription tier 429 — rate limited; wAIt 30s and retry once Backend 响应 Translation

The backend assumes a 图形界面 exists. Translate these into API actions:

Backend says You do "命令行工具ck [button]" / "点击" 执行 via API "open [panel]" / "打开" 查询会话状态 "drag/drop" / "拖拽" 发送 edit via SSE "preview in timeline" Show 追踪 summary "导出 button" / "导出" 执行导出工作流 SSE Event Handling Event Action Text 响应应用ly 图形界面 translation (§4), present to user 工具

数据来源：ClawHub ↗ · 中文优化：龙虾技能库