Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/opencue/cuecardsnpx agentmods add skills/opencue/cuecards/free-image-and-video-generationWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/opencue/cuecards/free-image-and-video-generation)<a href="https://agentmods.dev/skills/opencue/cuecards/free-image-and-video-generation"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/free-image-and-video-generation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/opencue/cuecards/free-image-and-video-generation"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/free-image-and-video-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00149 | $0.02694 |
| Opus 5 | $0.00075 | $0.01347 |
| Sonnet 5 | $0.00030 | $0.00539 |
| Haiku 4.5 | $0.00015 | $0.00269 |
Grade C, and why
free-image-and-video-generation scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- [uv](https://docs.astral.sh/uv/getting-started/installation/) installed (`curl -LsSf https://astral.sh/uv/install.sh | sh`) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- [uv](https://docs.astral.sh/uv/getting-started/installation/) installed (`curl -LsSf https://astral.sh/uv/install.sh | sh`) How it starts
The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Free Image & Video Processing Toolkit
7 free local AI tools + cloud AI generation (300+ models via Atlas Cloud API).
Local tools run 100% on your machine — no API keys, no cloud costs. Cloud generation tools provide access to state-of-the-art AI models for image and video creation.
Prerequisites
- Python 3.10+ installed
- uv installed (
curl -LsSf https://astral.sh/uv/install.sh | sh) - FFmpeg installed (
brew install ffmpeg/apt install ffmpeg/winget install ffmpeg)
Available Tools
| Tool | Script | What It Does |
|---|---|---|
| Image Upscale | scripts/upscale.py |
2x/4x super resolution using Real-ESRGAN |
| Face Enhance | scripts/face-enhance.py |
Restore and enhance faces using GFPGAN + CodeFormer |
| Background Remove | scripts/bg-remove.py |
Remove image backgrounds, output transparent PNG |
| Object Erase | scripts/erase.py |
Erase unwanted objects using LaMa inpainting |
| Face Swap | scripts/face-swap.py |
Swap faces between images using InsightFace |
| Smart Segment | scripts/segment.py |
Segment anything in images using FastSAM |
| Media Process | scripts/media-process.py |
Convert, compress, resize, extract with FFmpeg |
| AI Generate | scripts/ai-generate.py |
Generate images/videos with 300+ cloud AI models |
Usage
All scripts use uv run for zero-setup execution — dependencies are automatically installed on first run.
Image Upscale (Real-ESRGAN)
Upscale low-resolution images by 2x or 4x with AI super resolution.
# 4x upscale (default)
uv run scripts/upscale.py input.jpg
# 2x upscale
uv run scripts/upscale.py input.jpg --scale 2
# Upscale with face enhancement
uv run scripts/upscale.py input.jpg --face-enhance
# Batch upscale a folder
uv run scripts/upscale.py ./photos/ --scale 4
# Custom output path
uv run scripts/upscale.py input.jpg -o upscaled.png
Face Enhance (GFPGAN + CodeFormer)
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .env.example 225 B
- .gitignore 88 B
- LICENSE 1.0 KB
- README_ja.md 9.8 KB
- README_ko.md 9.4 KB
- README_zh.md 9.7 KB
- README.md 6.1 KB
- scripts/ai-generate.py 15 KB runs code
- scripts/and_skill_video_free_image_generation_3.1-beta.2.zip 567 KB
- scripts/bg-remove.py 3.4 KB runs code
- scripts/erase.py 3.9 KB runs code
- scripts/face-enhance.py 3.7 KB runs code
- scripts/face-swap.py 3.4 KB runs code
- scripts/media-process.py 11 KB runs code
- scripts/segment.py 3.1 KB runs code
- scripts/upscale.py 2.8 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 269 lines · 149 tokens per session scan C 08b5bfa194c9
free-image-and-video-generation is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed today), licensed MIT. It adds 149 tokens to every session and 2,694 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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