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Photo Video Tiktok
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
90
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install photo-video-tiktok
Description
Skip the learning curve of professional editing software. Describe what you want — turn these photos into a TikTok video with music and transitions — and get...
Usage Guidance
This skill appears to do what it claims (upload photos, call a cloud render API, return a video) and only needs a NEMO_TOKEN, but there are two things to check before installing or using it: (1) Metadata mismatch — the SKILL.md frontmatter references a local config directory (~/.config/nemovideo/) and asks the agent to detect the install path to set an attribution header. Ask the author why the skill needs to inspect local install/config paths and whether any files there are read. (2) Network endpoints — this skill will POST images and create sessions at https://mega-api-prod.nemovideo.ai; confirm you trust that domain and review its privacy/retention policy before uploading sensitive images. Practical precautions: provide only non-sensitive test images at first, avoid supplying real account credentials (use the anonymous token flow if available), and request clarification from the publisher about the config path and header derivation behavior. If the author confirms the config path is unused or optional, the concerns here are minor; if not, consider this a privacy risk.
Capability Analysis
Type: OpenClaw Skill
Name: photo-video-tiktok
Version: 1.0.0
The photo-video-tiktok skill is a legitimate integration for the nemovideo.ai API, designed to automate video creation from images. It provides clear instructions for the AI agent to manage sessions, handle file uploads, and poll for video rendering status. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found; the skill follows standard API authentication and telemetry practices.
Capability Assessment
Purpose & Capability
The skill's name and description align with its runtime instructions to upload images and request rendered MP4s from a cloud backend. Requesting a single NEMO_TOKEN credential is proportionate for a cloud video service. However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — that mismatch is unexplained and could indicate the skill expects to read local configuration files.
Instruction Scope
Instructions instruct the agent to check NEMO_TOKEN, and if absent to call an anonymous-token endpoint and use the returned token. They also specify deriving attribution headers (including X-Skill-Platform) by detecting the skill install path (e.g., ~/.clawhub/, ~/.cursor/skills/) and refer to a local config path in the YAML frontmatter. Asking the agent to inspect install paths or local config directories goes beyond simply sending user-provided images and could access local state unrelated to converting photos to video. Other actions (uploads, SSE, polling renders) are within the stated purpose.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — low install risk. Nothing will be downloaded or written by an automatic installer per the provided metadata.
Credentials
Only NEMO_TOKEN is declared as required, which is reasonable. But the frontmatter also lists a config path (~/.config/nemovideo/) that was not declared in the registry 'Required config paths' field — an unexplained additional local access. The skill also instructs creation and use of an anonymous token if NEMO_TOKEN is missing (reasonable), but the need to read install/config paths to compose headers is not justified by the description.
Persistence & Privilege
The skill is not marked 'always' and is user-invocable. It relies on ephemeral session tokens and API calls. There is no evidence it requests ongoing elevated privileges or modifies other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install photo-video-tiktok - After installation, invoke the skill by name or use
/photo-video-tiktok - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
photo-video-tiktok 1.0.0 — Initial Release
- Instantly turn photos (JPG, PNG, HEIC, WebP, up to 200MB) into TikTok-ready videos with music and transitions, no editing skills needed.
- Quick cloud processing: Upload images, describe the desired video, receive a 1080p MP4 in under a minute.
- Automated session setup with free credits for new users; handles authentication and cloud connection transparently.
- Supports common workflows like quick edits, batch processing, and iterative previews.
- Error handling and step-by-step instructions help troubleshoot uploads, exports, and session issues.
- Optimized output for TikTok (vertical 9:16, H.264, direct upload compatibility).
Metadata
Frequently Asked Questions
What is Photo Video Tiktok?
Skip the learning curve of professional editing software. Describe what you want — turn these photos into a TikTok video with music and transitions — and get... It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.
How do I install Photo Video Tiktok?
Run "/install photo-video-tiktok" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Photo Video Tiktok free?
Yes, Photo Video Tiktok is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Photo Video Tiktok support?
Photo Video Tiktok is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Photo Video Tiktok?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
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