vss-generate-video-report

vss-generate-video-report is a skill for Claude Code, Codex from NVIDIA-AI-Blueprints/video-search-and-summarization. It costs 61 tokens per session (11,168 once invoked), scanned A, original, no licence file.

A workflow for producing VSS video analysis reports from individual clips, incident time ranges, or standard operating procedures.

In plain words
What is it for?
It is for clip-level vision-language analysis, incident-range reports from video analytics, and checking compliance with documented procedures.
Why use it?
It provides the appropriate report process for different analysis modes instead of treating every request as a simple video summary.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for clip-level vision-language analysis, incident-range reports from video analytics, and checking compliance with documented procedures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report
Install

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.

Any agent
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-generate-video-report
Clone the repo
git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for vss-generate-video-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report/github.svg)](https://agentmods.dev/skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report)
Your own site
<a href="https://agentmods.dev/skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report"><img src="https://agentmods.dev/badge/skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report/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.

agentmods 80×15 button for vss-generate-video-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report"><img src="https://agentmods.dev/badge/skills/nvidia-ai-blueprints/video-search-and-summarization/vss-generate-video-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to medium

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 →

  • medium Data Exfiltration · line 520
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 543
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 652
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 679
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 656
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 683
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.11168
Opus 5 $0.00030 $0.05584
Sonnet 5 $0.00012 $0.02234
Haiku 4.5 $0.00006 $0.01117

Measured 3d ago against content hash 7f28bed68716, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

vss-generate-video-report 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 3d 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.

curl -sf --max-time 5 "${VST_API_BASE}/sensor/version" >/dev/null
skills/operations/vss-generate-video-report/SKILL.md · 718 lines

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.

Read it on GitHub

Files

What ships with it

7 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.

Changes

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.

  1. 3d ago Changed 7f28bed68716
  2. 9d ago First seen · 718 lines · 61 tokens per session scan A 71d6e98fa1d6

Subscribe to this mod's changes

vss-generate-video-report is a skill published in the GitHub repository NVIDIA-AI-Blueprints/video-search-and-summarization (1,859 stars, last pushed today), with no licence file. It adds 61 tokens to every session and 11,168 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

graphify

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community…

Graphify-Labs/graphify · 76 tokens

google-cloud-solution-rag-enterprise-search-gke-sqldb

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing…

google/skills · 114 tokens

evalscope

LLM evaluation & inference performance testing via the evalscope CLI. Translates natural language requests into evalscope commands for: (1) Model accuracy evaluation — runs registered benchmarks against local checkpoints or API endpoints (OpenAI-compatible, Anthropic, LiteLLM); (2) Performance stress testing — TTFT…

modelscope/evalscope · 195 tokens

gpt-image-2

A skill for generating or editing images with GPT Image 2 across local, host-provided, or advisory setups.

ConardLi/garden-skills · 177 tokens

kb-retriever

A retrieval and question-answering assistant for a local folder of documents, including Markdown, text, PDFs, and spreadsheets.

ConardLi/garden-skills · 105 tokens