deepstream-sop SKILL.md skillA
deepstream-sop from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/deepstream-sop@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/deepstream-sop/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Jul 1, 2026
- Size
- 19,633 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the user does not name it: verify operator step sequence, detect missing or out-of-order SOP steps, score factory/work-cell video for procedure compliance, run VLM-based SOP checking on…
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
# DeepStream SOP Inference Microservice Skill This skill guides AI coding assistants in building, extending, and debugging the **NVIDIA DeepStream SOP (Standard Operating Procedure) Inference Microservice** — a GPU-accelerated pipeline for temporal action detection and VLM-based SOP compliance monitoring on industrial video feeds. **Reference repository**: https://github.com/NVIDIA/sop-monitoring-blueprints/tree/main/microservices/sop-inference-bp **Local reference code**: `sop-inference-bp/` directory (from a local clone of the repository) --- ## Models Model-agnostic at both inference stages — swap via env var (and Triton dir for GEBD). | Stage | Role | Model class | Default | Swap via | |------|------|-------------|---------|----------| | Stage 1 (CV) | Per-frame boundary scoring → chunk segmentation | **Generic Event Boundary Detection (GEBD)** | **DDM** ([MCG-NJU/DDM](https://github.com/MCG-NJU/DDM)) via Triton Python backend | Replace `triton_model_repo/<model>/` + `DDM_MODEL_PATH` (§ 5) | …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/deepstream-sop@sha256:9030b35061302ba3The line at the top of this page pins the label v1.0.0, 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_tg2te22uztskgcft)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 1, 2026.
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 (19633 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/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tg2te22uztskgcft GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/deepstream-sop GET https://markdownregistry.com/api/v1/blob/9030b35061302ba3a61cac1b9c1c691b737373b3514384388a2ffa6bccf4d308
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.