deepstream-profile-pipeline SKILL.md skillA
deepstream-profile-pipeline 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-profile-pipeline@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/skills
- Path
skills/deepstream-profile-pipeline/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Jul 1, 2026
- Size
- 16,386 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. Use when the user asks for an efficient, performant, or profiled pipeline — or to benchmark, tune, or measure FPS.
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 Profiling Skill Profile-driven pipeline creation. When the user indicates they want an efficient DeepStream pipeline, this skill replaces guesswork with two measured numbers — **inference plateau batch** and **HW ceiling** — and derives every other config from them. Then it profiles the E2E pipeline with Nsight Systems and reports per-plugin NVTX timings. **Model- and pipeline-agnostic.** The skill assumes only that the inference element is `nvinfer` or `nvinferserver` (so model dims, precision, and batch knobs are settable through the standard config). It works for detection (with or without tracker), classification, segmentation, VLM, and embedding pipelines. Source can be file, RTSP, USB camera, or any mix. The skill reads the user's actual config to discover model dims / target FPS / source properties — it does NOT assume any particular model, codec, or resolution. > **Constraint.** Terminal only. Use `nsys profile` to capture and `nsys stats` to extract. > Do not depend on Nsight Lens or any GUI. ## When to trigger Activate this skill **at pipeline creation time** when the user's ask carries efficiency intent. Concrete triggers: …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/deepstream-profile-pipeline@sha256:7d6193940e5508ccThe 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_l5o7s4ezjynznphi)
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 (16386 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_l5o7s4ezjynznphi GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/deepstream-profile-pipeline GET https://markdownregistry.com/api/v1/blob/7d6193940e5508cc0246791634222465b5fde6e06b9402777caac61e770812ca
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.