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 calesthio/generative-media-skills --skill nvidia-cosmos-videogit clone --depth 1 https://github.com/calesthio/generative-media-skillsWrote 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/calesthio/generative-media-skills/nvidia-cosmos-video)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/nvidia-cosmos-video"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/nvidia-cosmos-video/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/calesthio/generative-media-skills/nvidia-cosmos-video"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/nvidia-cosmos-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 10 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00097 | $0.06830 |
| Opus 5 | $0.00048 | $0.03415 |
| Sonnet 5 | $0.00019 | $0.01366 |
| Haiku 4.5 | $0.00010 | $0.00683 |
Grade A, and why
nvidia-cosmos-video 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import base64, hashlib, json, os, pathlib, urllib.parse, urllib.request How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NVIDIA Cosmos video
Use Cosmos as a world-generation and world-simulation system, not as proof of physics. Choose the task, artifact, and runtime together. Names, schemas, licenses, parameter counts, and hardware claims are surface-specific.
This guide was verified against first-party NVIDIA repositories, model cards, NIM documentation, licenses, and technical reports on 2026-07-10. Recheck every linked model card, release note, support matrix, and embedded license immediately before downloading, deploying, post-training, or serving.
Route by family and task
| Family/artifact | What it does | Inputs and outputs | Status/boundary |
|---|---|---|---|
Cosmos 3 Generator (Cosmos3-Nano, Cosmos3-Super) |
General omnimodal world generation; text/image to video, and on supported open runtimes video, sound, and action modes | Full open checkpoint cards describe text/image/video/audio/action input and image/video/audio/action output | Newest open family, released 2026-05-31. Use Generator for media; the separate Reasoner produces text reasoning, not video |
| Cosmos3-Super-Image2Video | Specialized image-to-video checkpoint | One image + text → video | Do not assume Nano/Super and this specialization are interchangeable |
| Cosmos-Predict2.5 2B/14B | Future-world prediction, unified Text2World/Image2World/Video2World; specialized AV/robot variants | Text plus optional first image/video; some variants consume actions or multiview inputs | Current Predict2.5 repository; 2B and 14B pre-trained/post-trained bases, distilled and domain checkpoints have different capabilities |
| Cosmos-Transfer2.5-2B | World-to-world transformation with structural control | Source RGB video + prompt + edge/depth/segmentation/visual-blur controls → transformed video | Current control model; use for Sim2Real/Real2Real structure preservation, not unconstrained text-to-video |
| Predict2 / Predict1 / Transfer1 | Earlier families | Varying text/image/video/control contracts | Predict2 repository is archived and explicitly recommends migration to Predict2.5. Predict1 remains available in NIM. No public universal EOL date was found; call these earlier/legacy, not unsupported unless the exact artifact says so |
| Cosmos Reason, Embed, Tokenizer, Curator, Evaluator | Reasoning, embeddings, compression/data/evaluation | Not a video-generation endpoint | Do not route a generation request to these merely because they carry the Cosmos name |
What ships with it
1 file 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.
- 9d ago First seen · 322 lines · 97 tokens per session scan A 1f2ea775410a
nvidia-cosmos-video is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 97 tokens to every session and 6,830 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
copperhead
Change or verify a KiCad project through copperhead's gated pipeline. Use whenever a task touches .kicadsch or .kicadpcb files, a schematic, a PCB layout, a netlist, ERC/DRC, a BOM, or hardware design docs — instead of editing those files directly.
ai_ui_skill
AI UI component architecture, patterns, conventions and implementation guide for the wechat-style embedded LVGL UI system.
OpenHue
Control Philips Hue lights, rooms, and scenes from the terminal through the OpenHue CLI with explicit targeting and safe defaults.
cliptalk-cover-director
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video. Use when the user asks for a cover, poster frame, thumbnail, or multiple cover directions; do not use for timeline editing or social-video reframing.
cliptalk-smart-reframe
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut. Use for automatic vertical, square, or portrait reframing; do not use for a fixed manual crop or before content editing is accepted.
cliptalk-content-extractor
Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.