tao-finetune-cosmos-embed SKILL.md skillA

tao-finetune-cosmos-embed from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia-tao/tao-skill-bank/tao-finetune-cosmos-embed@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia-tao/tao-skill-bank
Path
skills/models/tao-finetune-cosmos-embed/SKILL.md
Versions recorded
7
Latest version
v0.1.0, committed Oct 15, 2026
First version recorded
Jun 3, 2026
Size
15,351 bytes
Repository stars
95
License
Apache-2.0

Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Cosmos-Embed

> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).

Cosmos-Embed1 is a joint video-text embedder for text-to-video retrieval, video-to-video search, zero-shot/kNN classification, and semantic deduplication. The packaged CLI is `cosmos-embed1` and supports `train`, `evaluate`, `inference`, and `export`.

Container image and per-action commands are in `references/skill_info.yaml`. Compact starting specs are in `references/spec_template_*.yaml`.

## Train Action Policy

AutoML is not packaged for this model skill because there are no Cosmos-Embed schemas under `schemas/`. Always use the direct model skill actions for `train`, `evaluate`, `inference`, and `export`, even when a higher-level request includes `automl_policy: on`. Do not route Cosmos-Embed through workflow or AutoML skills until model-specific train schemas and templates are added.

Non-train actions such as `evaluate`, `inference`, `export`, and deploy flows stay in this model skill. The per-run `automl_policy` override does not change model metadata.

## Quick Start
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-finetune-cosmos-embed@sha256:eadfc7db2b480496

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ch62rbxwnui3txve.svg)](https://markdownregistry.com/a/art_ch62rbxwnui3txve)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 7 versions of this file, between Jun 3, 2026 and Oct 15, 2026, about one every 22 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-15 f1e6f8d 15,351 BA view · diff
v0.1.02026-10-12 3ab2a35 15,351 BA view · diff
v0.1.02026-08-11 115ac6d 14,040 BA view · diff
v0.1.02026-08-03 03f2daa 13,974 BA view · diff
v0.1.02026-06-22 258eff3 14,120 BA view · diff
v0.1.02026-06-08 aa3929f 11,835 BA view · diff
v0.12026-06-03 2fd0a48 11,833 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15351 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ch62rbxwnui3txve
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-finetune-cosmos-embed
GET https://markdownregistry.com/api/v1/blob/eadfc7db2b4804962d98dfd6396f3636fe519dd20c0db5acb3c64e97ab324a61

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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