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peand-rover

Fitness Challenge Video

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
83
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Install in OpenClaw
/install fitness-challenge-video
Description
Fitness challenges get 3x more social media engagement than standard workout posts. Your 30-day challenge, transformation journey, and weekly workout documen...
README (SKILL.md)

Fitness Challenge Video — Every Workout Documented, Every Week Published

Use Cases

  1. 30-Day Challenge Recaps — Weekly summary videos for ongoing fitness challenges, showing days 1-7, 8-14, etc. with progress notes and motivational messaging for challenge participants.

  2. Personal Trainer Client Programs — Challenge documentation videos for PT clients, showing their workout consistency and progress for motivation and social proof marketing.

  3. Transformation Journey Documentation — Long-form transformation content that compresses weeks of training into shareable progress videos at 30, 60, and 90-day milestones.

  4. Gym Challenge Marketing — Promotional challenge videos for gym membership acquisition campaigns, showing real member participation and results from past challenges.

How It Works

Upload your workout footage and specify the challenge structure and current progress day. Fitness Challenge Video assembles the recap, adds music and day overlays, and exports challenge videos for every platform.

Usage Guidance
Before installing, ask the publisher for specifics: which NemoVideo API/endpoint will be used, exactly how NEMO_TOKEN is used and what permissions it grants, whether footage is uploaded to a third-party server and how long it's stored, and whether the skill will read any local config at ~/.config/nemovideo/. Prefer scoped or revocable tokens and avoid supplying your primary account credentials. If possible, test with a throwaway token and non-sensitive sample videos first. If the author cannot explain where files are uploaded and how credentials are used, treat the skill as risky and do not provide real tokens or private footage.
Capability Analysis
Type: OpenClaw Skill Name: fitness-challenge-video Version: 1.0.0 The skill bundle for 'fitness-challenge-video' contains only metadata and documentation describing a service for generating fitness-related social media content. It requires a standard API token (NEMO_TOKEN) and a local configuration directory (~/.config/nemovideo/), which are typical for API-integrated tools. No executable code, suspicious instructions, or prompt injection attempts were found in the provided files (SKILL.md, _meta.json).
Capability Assessment
ℹ Purpose & Capability
The skill's name and description match a service that would plausibly need an API token (NEMO_TOKEN) to upload/process videos. However the registry listing earlier shows no required config paths while the SKILL.md metadata includes configPaths [~/.config/nemovideo/], which is an inconsistency. That config path would imply the skill might read/write a local service config, which is not explained by the description.
⚠ Instruction Scope
SKILL.md is high-level and open-ended: it tells the agent to 'upload your workout footage' and 'assemble' videos but gives no API endpoints, no explicit instructions for how uploading happens, and no constraints on what files to read. This vagueness gives the agent broad discretion to request, read, or transmit user files and credentials without clear boundaries or auditing instructions.
✓ Install Mechanism
There is no install spec and no code files — this is instruction-only, which minimizes disk-write/installation risk. No third-party downloads or package installs are requested.
ℹ Credentials
The skill only requires a single environment variable (NEMO_TOKEN), which is proportionate for a hosted video-processing API. But the SKILL.md metadata's configPaths entry (not reflected in the registry's 'Required config paths') raises the possibility of local config access; the token and potential config access should be explained by the author.
✓ Persistence & Privilege
always:false and no install steps are defined. The skill does not request permanent presence or modifications to other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fitness-challenge-video
  3. After installation, invoke the skill by name or use /fitness-challenge-video
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Fitness Challenge Video: - Create 30-day fitness challenge and transformation journey videos from uploaded workout footage. - Automatically assemble daily clips into weekly recaps showing progress and consistency. - Adds energetic music matched to workout intensity, day number overlays, and exercise names. - Includes before-and-after progress sequences at challenge milestones. - Exports vertical videos optimized for TikTok/Instagram Reels and horizontal versions for YouTube. - Designed for fitness creators, personal trainers, gym owners, and anyone sharing workout progress.
Metadata
Slug fitness-challenge-video
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Fitness Challenge Video?

Fitness challenges get 3x more social media engagement than standard workout posts. Your 30-day challenge, transformation journey, and weekly workout documen... It is an AI Agent Skill for Claude Code / OpenClaw, with 83 downloads so far.

How do I install Fitness Challenge Video?

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

Is Fitness Challenge Video free?

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

Which platforms does Fitness Challenge Video support?

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

Who created Fitness Challenge Video?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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