tao-generate-video-reasoning-annotations SKILL.md skillA
tao-generate-video-reasoning-annotations from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-generate-video-reasoning-annotations@v0.1.0Pins 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/data/tao-generate-video-reasoning-annotations/SKILL.md- Versions recorded
- 6
- Latest version
- v0.1.0, committed Oct 15, 2026
- First version recorded
- Jun 3, 2026
- Size
- 11,240 bytes
- Repository stars
- 95
- License
- Apache-2.0
Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning traces, via VLM/LLM distillation. Use when the user wants to "create video training data", "generate video QA datasets", "build CoT reasoning traces from videos", "auto-label videos", or run the video_reasoning_annotation pipeline. Triggers include "video annotation", "video CoT", "video QA…
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
# Video Reasoning Annotation Pipeline > **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). Generate Chain-of-Thought training datasets from videos by producing multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with step-by-step reasoning traces. Domain-agnostic by default — customize prompts for any video domain. ## Purpose Transform raw videos into CoT Q&A training data for video understanding models. VLMs (e.g., Gemini, Qwen) act as "teacher" annotators: Steps 0–1 require the model to see the video (VLM calls); Steps 2–3 are text-to-text (cheaper LLM calls). ## Pipeline architecture ``` Step 0: [Optional] Filter & classify videos → Keep domain-relevant, classify anomaly vs normal Step 1a: Global + dense captions → VLM: narrative summary + timestamped events Step 1b: Chunk captions → VLM: fixed-duration segment micro-captions Step 1c: [Optional, anomaly only] Highlight → LLM extracts anomaly timestamp, VLM captions clip …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-generate-video-reasoning-annotations@sha256:f7917b6dce2eadbcThe 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.
[](https://markdownregistry.com/a/art_mqv7fkiurits4jur)
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Versions
The registry has recorded 6 versions of this file, between Jun 3, 2026 and Oct 15, 2026, about one every 27 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-15 | f1e6f8d | 11,240 B | A | view · diff |
| v0.1.0 | 2026-08-28 | ae022a9 | 11,259 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 11,240 B | A | view · diff |
| v0.1.0 | 2026-06-08 | 0ccd383 | 11,068 B | A | view · diff |
| v0.1 | 2026-06-03 | 94ef697 | 11,066 B | A | view · diff |
| v0.1 | 2026-06-03 | 2fd0a48 | 11,052 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11240 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
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_mqv7fkiurits4jur GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-generate-video-reasoning-annotations GET https://markdownregistry.com/api/v1/blob/f7917b6dce2eadbc84015f999ce777a53fd4666bf87964031a29501193afd86e
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.