Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add KornLabs/truss --skill marketing-imagegit clone --depth 1 https://github.com/KornLabs/trussWrote 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/kornlabs/truss/marketing-image)<a href="https://agentmods.dev/skills/kornlabs/truss/marketing-image"><img src="https://agentmods.dev/badge/skills/kornlabs/truss/marketing-image/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/kornlabs/truss/marketing-image"><img src="https://agentmods.dev/badge/skills/kornlabs/truss/marketing-image.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 | $0.00198 | $0.03907 |
| Opus 5 | $0.00099 | $0.01954 |
| Sonnet 5 | $0.00040 | $0.00781 |
| Haiku 4.5 | $0.00020 | $0.00391 |
Grade A, and why
marketing-image scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://yoursite.com | grep -oP 'src="[^"]+\.(jpg|png|webp)"' | head -20 The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
2 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.
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.
- today Changed · +198 tokens per session 4ce6adda71cf
- 10d ago First seen · 342 lines · 0 tokens per session scan A 900db7b6860f
marketing-image is a skill published in the GitHub repository KornLabs/truss (2 stars, last pushed today), with no licence file. It adds 198 tokens to every session and 3,907 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
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Present interactive HTML, visualizations, dashboards, and generated interfaces on connected Cybara nodes.
comfyui
Drive ComfyUI (local Stable Diffusion / image-gen pipeline) via its HTTP API to generate and edit images. Use when the user has ComfyUI running and wants image generation/upscale/img2img workflows.
fal.ai
Generate images, videos, and music through Cybara's fal.ai media providers. Use when the user wants fal.ai models, queue-backed video generation, audio/music generation, or non-OpenAI image models.
manim-video
Generate mathematical/explanatory animations with Manim (Python). Use for animated explainers, math visualizations, and step-by-step animations the user can render to MP4.
blender-mcp
Create, inspect, render, and validate Blender scenes through the configured Blender MCP server.
blender-headless
Build, render, and visually verify 3D models with Blender's Python API in headless mode, using the image tool to inspect renders and iterate.