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mory128

Video Leaderboard

by mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
51
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1
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Install in OpenClaw
/install video-leaderboard
Description
Turn a 2-minute gameplay or competition highlight video into 1080p leaderboard overlay video just by typing what you need. Whether it's adding ranked leaderb...
Usage Guidance
This skill appears to do what it says: it uses a Nemo API token to upload clips, run cloud rendering, and return downloadable videos. Before installing or using it: (1) Confirm you trust the API host (mega-api-prod.nemovideo.ai) and understand their data/retention and privacy policies for uploaded videos; (2) Ask the publisher to resolve the metadata mismatch: SKILL.md references ~/.config/nemovideo/ while the registry lists no config paths — ask whether the skill will read local config files and what it stores there; (3) Be aware the skill may probe install paths to set an attribution header — request confirmation it will NOT read other files beyond user-supplied uploads and the optional NEMO_TOKEN; (4) If you are uneasy, avoid setting a permanent NEMO_TOKEN in your environment and instead use a disposable/limited token or the anonymous-token flow; (5) If you need higher assurance, request the skill owner to publish a homepage or source so you can review server-side privacy/retention and any SLA for orphaned render jobs.
Capability Analysis
Type: OpenClaw Skill Name: video-leaderboard Version: 1.0.0 The video-leaderboard skill is a functional integration for a cloud-based video processing service (nemovideo.ai). It provides detailed instructions for an AI agent to handle authentication, video uploads, and remote GPU rendering via a structured API. While it includes logic to detect the host environment (e.g., Cursor or Clawhub) for telemetry/attribution headers, its behavior is strictly aligned with its stated purpose of video editing and lacks any indicators of malicious intent, such as unauthorized data access or command execution.
Capability Assessment
Purpose & Capability
The skill's name/description (video leaderboard rendering) aligns with the runtime actions (calls to a nemovideo API to upload clips, run SSE generation, and fetch render outputs). Requesting a single service token (NEMO_TOKEN) is proportional. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this is an inconsistency worth clarifying.
Instruction Scope
Instructions stay inside the video-processing domain: they authenticate, create a session, upload video files or URLs, stream SSE messages, poll renders, and return download URLs. They do instruct the agent to read NEMO_TOKEN if present and to perform multipart uploads from file paths (e.g., -F "files=@/path"). The doc also tells the agent to infer an install path (~/.clawhub/ or ~/.cursor/skills/) to set an attribution header, which implies checking filesystem paths that are unrelated to actual video uploads — this is unexpected and should be clarified.
Install Mechanism
No install spec or code is provided (instruction-only). That minimizes disk-write and execution risk; nothing is downloaded from external URLs by an installer.
Credentials
Only one credential is required: NEMO_TOKEN (declared as primary). That is appropriate for a remote-rendering API. Caveats: SKILL.md claims a config path (~/.config/nemovideo/) in its frontmatter (possible local config/token storage) which is not declared in the registry metadata — potential mismatch. The skill will also generate an anonymous token via the API if NEMO_TOKEN is absent; that behavior is reasonable but means the skill can obtain and store tokens on your behalf.
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill instructs saving session_id for job tracking (expected). It does not request persistent platform-wide privileges or modifications to other skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-leaderboard
  3. After installation, invoke the skill by name or use /video-leaderboard
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Leaderboard 1.0.0 - Instantly add ranked leaderboard overlays to gameplay or competition highlight videos—no timeline needed. - Accepts uploads of video clips (up to 3 minutes suggested, 500MB max) with simple, descriptive text instructions. - Server-side 1080p rendering returns a downloadable MP4 in 30–60 seconds. - Automatic cloud connection and credit management; no manual API setup required. - Supports exporting, balance checks, session status, and multi-format outputs. - Step-by-step prompt guidance for common workflows and tips for best results.
Metadata
Slug video-leaderboard
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Leaderboard?

Turn a 2-minute gameplay or competition highlight video into 1080p leaderboard overlay video just by typing what you need. Whether it's adding ranked leaderb... It is an AI Agent Skill for Claude Code / OpenClaw, with 51 downloads so far.

How do I install Video Leaderboard?

Run "/install video-leaderboard" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Video Leaderboard free?

Yes, Video Leaderboard is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Video Leaderboard support?

Video Leaderboard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Leaderboard?

It is built and maintained by mory128 (@mory128); the current version is v1.0.0.

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