NVIDIA/skills is a catalogue of portable instruction sets that teach coding agents how to use NVIDIA software for robotics, simulation, CUDA, retrieval-augmented generation, and related workflows. Developers install these skills in agents such as Claude Code or Codex, while the catalogue mirrors skills maintained in separate NVIDIA product repositories.
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.
npx skills add NVIDIA/skills --skill doca-public-knowledge-mapgit clone --depth 1 https://github.com/NVIDIA/skillsWrote 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.
[](https://agentmods.dev/skills/nvidia/skills/doca-public-knowledge-map)<a href="https://agentmods.dev/skills/nvidia/skills/doca-public-knowledge-map"><img src="https://agentmods.dev/badge/skills/nvidia/skills/doca-public-knowledge-map/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.
<a href="https://agentmods.dev/skills/nvidia/skills/doca-public-knowledge-map"><img src="https://agentmods.dev/badge/skills/nvidia/skills/doca-public-knowledge-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00177 | $0.03801 |
| Opus 5.5 | $0.00071 | $0.01520 |
| Sonnet 5.5 | $0.00035 | $0.00760 |
| Haiku 4.5 | $0.00018 | $0.00380 |
Grade A, and why
doca-public-knowledge-map scanned grade A with 0 findings 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 8d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCA Public Knowledge Map
Where to start: Reach for this skill whenever the question is "where does
the authoritative answer live?" — a docs page, the on-disk install layout, a
sample, or an NGC catalog entry. Read ## Public documentation entry points
first; then jump to the routing-table section that matches the user's intent.
How to use this skill. Read this file, then search the companion file
for the ## <name> heading the question needs and read that whole section.
Answer completely from it, quoting only its symbols and commands. Do not
browse docs; use the entry points in doca-public-knowledge-map. Give
environment checks as commands for the user's DOCA host. For out-of-scope
requests, name the skill that owns them and stop.
When to load this skill
Load this skill whenever the user asks anything about NVIDIA DOCA where the
agent needs to locate authoritative information without access to the
DOCA source tree. That includes documentation-routing questions about
installing DOCA, building a sample, learning a DOCA library (Flow, DPA, Comm
Channel, GPUNetIO, …), debugging an error, finding an API or error reference,
finding a sample, release notes, or the developer forum. This skill locates
the authoritative answer; hands-on installation, building, tutorials, and
debugging route to the workflow-owning skills named in the frontmatter and
## Related skills.
This skill is intentionally a routing table, not a tutorial. Pick the entry that matches the user's intent, fetch the URL or inspect the local install path, and only then answer.
First-contact discovery — the four questions to ask before any drill-down
When a user opens with an open-ended orientation question (“I'm new with DOCA, how do I start?”, “can you guide me?”, “what's the easiest way to try DOCA?”), the agent does not have enough information yet to pick a path. Asking these four questions before drilling avoids wasted recommendations that the user cannot actually execute on their setup. Ask them as a single short message; do not interrogate one-at-a-time.
What ships with it
10 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.
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.
- 8d ago Changed 3c5db325cb1e
- 11d ago Changed · +3 lines c895c1108911
- 15d ago Changed · +1 lines 075cab2dbf59
- 23d ago Changed · +71 lines · -58 tokens per session 94174b9e3191
- 2mo ago First seen · 186 lines · 235 tokens per session scan A 96c97dd4299a
doca-public-knowledge-map is a skill published in the GitHub repository NVIDIA/skills (3,873 stars, last pushed yesterday), licensed Apache-2.0. It adds 177 tokens to every session and 3,801 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
doca-public-knowledge-map compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| doca-public-knowledge-mapNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 177 | Claude Code, Codex |
| desktop-and-local-ipc-securitymakifbaysal/tasktrooper | Skill | 120 | 16d ago | Apache-2.0 | A | 78 | Claude Code, Codex |
| spark-environment-setupwshobson/agents | Skill | 42k | yesterday | MIT | A | 76 | Claude Code |
| spark-training-gotchaswshobson/agents | Skill | 42k | yesterday | MIT | A | 63 | Claude Code |
| technical-troubleshootingstrands-agents/samples | Skill | 925 | yesterday | Apache-2.0 | A | 38 | Claude Code |
| screen-mockup-htmlmakifbaysal/tasktrooper | Skill | 120 | 16d ago | Apache-2.0 | A | 63 | Claude Code, Codex |
| responsive-layoutmakifbaysal/tasktrooper | Skill | 120 | 16d ago | Apache-2.0 | A | 35 | Claude Code, Codex |