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Install in OpenClaw
/install phosor-ai
Description
Generate AI videos (text-to-video, image-to-video) with optional custom LoRA styles via the Phosor AI platform. Supports importing images and LoRA models fro...
Usage Guidance
This skill appears to be a straightforward CLI client for phosor.ai and is internally consistent. Before installing: (1) Only provide a PHOSOR_API_KEY you trust—the key is sent as X-API-Key on all requests and will be used/billed by phosor.ai. (2) The CLI will write phosor-pending.json in ~/.openclaw/workspace to track jobs; remove that file if you want no local state. (3) Uploading or importing LoRA (.safetensors) or images will transmit those files or their URLs to Phosor's service—do not upload sensitive data you do not want stored or processed by the external service. (4) If you plan to override PHOSOR_BASE_URL, ensure the endpoint is trusted; note the SKILL.md marks PHOSOR_BASE_URL as required but the client will default to https://phosor.ai if omitted. (5) If you need stronger assurance, review scripts/phosor_client.py (included) to confirm network endpoints and behavior; the code uses urllib and standard HTTPS endpoints documented in references/api.md.
Capability Assessment
Purpose & Capability
The skill name/description (Phosor AI video generation + LoRA support) align with the included CLI and API references. The declared requirements (python3, PHOSOR_API_KEY, PHOSOR_BASE_URL, and a local phosor-pending.json) map to the script's behavior. Minor inconsistency: SKILL.md's requires lists PHOSOR_BASE_URL as required, but the client treats PHOSOR_BASE_URL as optional (defaults to https://phosor.ai).
Instruction Scope
SKILL.md instructs the agent to call the included CLI (scripts/phosor_client.py) for submit/status/result/upload/import operations. The instructions only reference the API key, optional base URL, local pending file, and user-supplied files/URLs (images, .safetensors). There are no instructions to read unrelated system files or other credentials.
Install Mechanism
No install spec is present (instruction-only plus an included Python script). No network downloads or archive extraction during install. The client is stdlib-only and requires python3, which is proportionate for a CLI script.
Credentials
Only PHOSOR_API_KEY (primary) and PHOSOR_BASE_URL are declared. PHOSOR_API_KEY is necessary and expected; PHOSOR_BASE_URL is a reasonable optional override but is declared as required in metadata despite being optional in code. The skill writes a local tracking file (phosor-pending.json) under ~/.openclaw/workspace, which is proportional to its job-polling behavior.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. It writes only its own pending-job file in the user's workspace and does not modify other skills or system-wide agent configuration. The skill can be invoked autonomously (default), which is normal for skills; this combined with a single API key is not excessive.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install phosor-ai - After installation, invoke the skill by name or use
/phosor-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
Phosor AI 1.0.0 – Initial Release
- AI content generation platform, supporting Wan 2.2 14B text-to-video and image-to-video
- Upload and use custom LoRA models for style customization
- 16 CLI commands for job submission, uploads, status, results, and model listing
- Supports preset resolutions (480p/720p/1080p), frame alignment rules, and usage quotas
v1.0.1
Phosor AI 1.0.1
- AI content generation platform, supporting Wan 2.2 14B text-to-video and image-to-video
- Upload and use custom LoRA models for style customization
- 16 CLI commands for job submission, uploads, status, results, and model listing
- Supports preset resolutions (480p/720p/1080p), frame alignment rules, and usage quotas
v1.0.0
Initial release of phosor-ai 1.0.0
- AI content generation platform, supporting Wan 2.2 14B text-to-video and image-to-video
- Upload and use custom LoRA models for style customization
- 16 CLI commands for job submission, uploads, status, results, and model listing
- Supports preset resolutions (480p/720p/1080p), frame alignment rules, and usage quotas
Metadata
Frequently Asked Questions
What is Phosor AI?
Generate AI videos (text-to-video, image-to-video) with optional custom LoRA styles via the Phosor AI platform. Supports importing images and LoRA models fro... It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.
How do I install Phosor AI?
Run "/install phosor-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Phosor AI free?
Yes, Phosor AI is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Phosor AI support?
Phosor AI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Phosor AI?
It is built and maintained by Jason (@jasonstarlight); the current version is v1.0.2.
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