Official agent skill

Vss Ask Video

A skill your agent uses to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip.

OfficialApache-2.0Auto-check: notesAI & LLM Engineering

Install Vss Ask Video

skills CLI

$ npx skills add NVIDIA/skills --skill vss-ask-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills vss-ask-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vss-ask-video .claude/skills/vss-ask-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "vss-ask-video" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video into .claude/skills/vss-ask-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-ask-video", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add NVIDIA/skills --skill vss-ask-video -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills vss-ask-video --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vss-ask-video .agents/skills/vss-ask-video && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "vss-ask-video" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video into .agents/skills/vss-ask-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-ask-video", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA/skills --skill vss-ask-video -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills vss-ask-video --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vss-ask-video .cursor/skills/vss-ask-video && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "vss-ask-video" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video into .cursor/skills/vss-ask-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-ask-video", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/vss-ask-video

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add NVIDIA/skills --skill vss-ask-video -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills vss-ask-video --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vss-ask-video .gemini/skills/vss-ask-video && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "vss-ask-video" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video into .gemini/skills/vss-ask-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-ask-video", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install NVIDIA/skills vss-ask-video

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add NVIDIA/skills --skill vss-ask-video -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vss-ask-video .github/skills/vss-ask-video && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "vss-ask-video" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video into .github/skills/vss-ask-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-ask-video", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add NVIDIA/skills --skill vss-ask-video -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install NVIDIA/skills vss-ask-video --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vss-ask-video .opencode/skills/vss-ask-video && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "vss-ask-video" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/vss-ask-video into .opencode/skills/vss-ask-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vss-ask-video", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: vss-ask-video
GitHub stars: 3.5k
Token cost: ~1.4k tokens
SKILL.md length: 545 words
Files: 6
Skills in repo: 380
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip.

Works in 3 steps: Probe the VSS agent → If the probe fails, ask the user → If the probe passes, proceed.
Ask the VSS agents videounderstanding tool a fresh visual question about a recorded clip
SKILL.md covers When to Use, Deployment prerequisite, Sensor prerequisite and Agent workflow, plus 2 more sections
Calls curl, jq and python3

What it does

Vss Ask Video is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `BENCHMARK.md`, `evals/base_profile_video_understanding.json` and `evals/evals.json`).

It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

Ask the VSS agents videounderstanding tool a fresh visual question about a recorded clip
Tasks that involve Computer vision

Example prompts

“/vss-ask-video”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Probe the VSS agent
If the probe fails, ask the user
If the probe passes, proceed.

What it can do on your machine

Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
- jq
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vss Ask Video loads about 1.4k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 545 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~49
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:84

# Set from deployment (compose / .env / host where vss-agent listens)

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 545 words, ~1,406 tokens.

Download SKILL.mdSave it as .claude/skills/vss-ask-video/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.

name: vss-ask-video
description: Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.
license: Apache-2.0
metadata.version: 3.2.0
metadata.github-url: https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization
metadata.tags: nvidia blueprint operational

Video QnA using VLM through VSS Agent

Use this skill when you need details about the video which requires VLM to look at the video frames — for example the agent has no usable prior answer and needs a fresh look at the pixels for a specific clip.

When to Use

The user asks what happens in the video, what objects / people / actions appear, colors, timing, safety, or other visual facts that require watching the clip.
The user asks for details that cannot be answered from existing messages, summaries, Elasticsearch/MCP results, or filenames alone—you need model inference on the video.
Follow-up questions about content details after a coarse summary or after report generation.

Do not use this skill when a database / MCP / prior tool output already answers the question, unless the user explicitly wants verification against the video.

Deployment prerequisite

This skill requires a VSS profile that serves the video_understanding tool — typically base (recommended) or lvs. Before any request:

Probe the VSS agent:

bash

curl -sf --max-time 5 "http://${HOST_IP}:8000/docs" >/dev/null

If the probe fails, ask the user:

"No VSS profile is running on $HOST_IP. Shall I deploy base (recommended for per-clip VLM QnA) using the /vss-deploy-profile skill? If you prefer lvs, say so."
- If yes → hand off to /vss-deploy-profile -p base (or -p lvs if the user prefers). Return here once it succeeds.
- If no → stop.
If the probe passes, proceed.

Sensor prerequisite

You MUST list VST sensors before any /generate call. This is required even when the user names the sensor explicitly, even when the user asserts the video is already uploaded, and even when a previous turn appeared to use the same video. Do not skip this step.

List sensors:

bash

curl -sf --max-time 5 "http://${HOST_IP}:30888/vst/api/v1/sensor/list" | jq '.[].name'

Compare the returned name values against the user-supplied <sensor-id> (or filename stem, e.g. warehouse_safety_0001).
If a matching sensor is present → proceed to the Agent workflow below.
If no matching sensor is present — upload the video first, then re-list to confirm the new sensor appears:
bash
```
# filename: must not contain whitespace
# timestamp: ISO 8601 UTC — default 2025-01-01T00:00:00.000Z if user did not specify
curl -s -X PUT "http://${HOST_IP}:30888/vst/api/v1/storage/file/<filename>?timestamp=<timestamp>" \
  -H "Content-Type: application/octet-stream" \
  -H "Content-Length: <file_size_in_bytes>" \
  --upload-file /path/to/<filename> | jq .
```
See /vss-manage-video-io-storage for full upload semantics (v1 vs v2, conflict handling, delete flow). In interactive runs, confirm with the user before uploading. Never issue an unconditional PUT without first running the sensor-list check above — that is exactly the failure mode this prerequisite exists to prevent.

Show full SKILL.md (175 more words)Show less

Agent workflow

The Sensor prerequisite above must have already confirmed (or made) the sensor exist on VST. Then:

Clip — Identify sensor id, filename, or URL for one video segment. If ambiguous, ask the user.
Call vss agent with the sensor id and ask for it to call video_understanding tool to answer the user's question.
Return the vss agent's answer back to the user.

Query VSS agent (`/generate`)

bash

# Set from deployment (compose / .env / host where vss-agent listens)
export VSS_AGENT_BASE_URL="http://localhost:8000"

curl -s -X POST "${VSS_AGENT_BASE_URL}/generate" \
  -H "Content-Type: application/json" \
  -d '{"input_message": "Call video_understanding tool to answer the following question about <sensor-id>: <user query>"}' | jq .

Response contract and extraction

/generate returns a JSON object with the assistant output in value, for example:

json

{"value":"<agent-think><agent-think-step ...>...</agent-think-step></agent-think>\n\n<final answer>\n\n"}

There is no separate clean-answer field. The consumable answer is the text in .value after removing any <agent-think>...</agent-think> block.

Required handling for this skill (and any downstream caller):

Read .value from the JSON response.
Strip <agent-think>...</agent-think> sections wherever they appear.
Return only the remaining final-answer text to the user.

Example extraction:

bash

curl -s -X POST "${VSS_AGENT_BASE_URL}/generate" \
  -H "Content-Type: application/json" \
  -d '{"input_message":"Call video_understanding tool to answer the following question about <sensor-id>: <user query>"}' \
| jq -r '.value' \
| python3 -c 'import re,sys; t=sys.stdin.read(); t=re.sub(r"<agent-think>.*?</agent-think>\s*", "", t, flags=re.S); print(t.strip())'

Cross-Reference

vss-manage-video-io-storage — VST storage/replay URLs so VIDEO_URL is valid for the VLM.
vss-generate-video-report — timestamped reports via Mode A (direct VLM) or Mode B (video-analytics incidents); this skill is VSS-agent /generate for ad-hoc video Q&A.

Files

SKILL.md and 5 other files in skills/vss-ask-video of NVIDIA/skills.

SKILL.md
BENCHMARK.md
evals/base_profile_video_understanding.json
evals/evals.json
skill-card.md
skill.oms.sig

Open the folder on GitHubat commit 67a13c0

Compare with similar skills

Vss Ask Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vss Ask Video compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Vss Ask Video this skillNVIDIA/skills	3.5k	—	~1.4k	Automated safety check: Notes	Apache-2.0	yesterday
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs	13k	9 repos	~3.3k	Automated safety check: Pass	MIT	3 mo ago
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~1.7k	Automated safety check: Pass	MIT	3 mo ago
Yolo Master AgentTencent/YOLO-Master	742	—	~755	Automated safety check: Pass	AGPL-3.0	today
Video Understandjjyaoao/HelloAgents	3.2k	1 repos	~6.2k	Automated safety check: Pass	MIT	2 days ago
Motioneyes Visual Analysisedwardsanchez/MotionEyes	229	—	~2k	Automated safety check: Pass	None	6 mo ago

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Questions about Vss Ask Video

What does Vss Ask Video do?

A skill your agent uses to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. Vss Ask Video is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip.

When should I use Vss Ask Video?

Vss Ask Video fits situations like: ask the VSS agents videounderstanding tool a fresh visual question about a recorded clip; tasks that involve Computer vision.

How do I install Vss Ask Video in Claude Code?

Run `npx skills add NVIDIA/skills --skill vss-ask-video -a claude-code`. Or copy the skill folder (skills/vss-ask-video in NVIDIA/skills) into .claude/skills/vss-ask-video in your project. Claude Code loads it when a task matches its description.

How do I install Vss Ask Video in Codex?

Run `npx skills add NVIDIA/skills --skill vss-ask-video -a codex`. Or copy the skill folder (skills/vss-ask-video in NVIDIA/skills) into .agents/skills/vss-ask-video in your project. Codex loads it when a task matches its description.

Can I use Vss Ask Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill vss-ask-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vss-ask-video, .gemini/skills/vss-ask-video, .github/skills/vss-ask-video and .opencode/skills/vss-ask-video in your project.

What does Vss Ask Video need to run?

Going by SKILL.md and its folder, Vss Ask Video needs the command-line tools its instructions call (curl, jq and python3). Our summary lists: Python 3.

Does Vss Ask Video access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Vss Ask Video safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Vss Ask Video use?

Vss Ask Video is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vss Ask Video use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vss Ask Video?

Skills that share tags, products or a category with Vss Ask Video: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Yolo Master Agent (Tencent/YOLO-Master, 742 stars) and Video Understand (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vss Ask Video?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Vss Ask Video

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Video QnA using VLM through VSS Agent

When to Use

Deployment prerequisite

Sensor prerequisite

Agent workflow

Query VSS agent (/generate)

Response contract and extraction

Cross-Reference

Files

Compare with similar skills

Similar skills

More from NVIDIA/skills

Related

Questions about Vss Ask Video

Query VSS agent (`/generate`)