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-pccgit 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-pcc)<a href="https://agentmods.dev/skills/nvidia/skills/doca-pcc"><img src="https://agentmods.dev/badge/skills/nvidia/skills/doca-pcc/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-pcc"><img src="https://agentmods.dev/badge/skills/nvidia/skills/doca-pcc.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 | $0.00240 | $0.04449 |
| Opus 5.5 | $0.00096 | $0.01780 |
| Sonnet 5.5 | $0.00048 | $0.00890 |
| Haiku 4.5 | $0.00024 | $0.00445 |
Grade A, and why
doca-pcc 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 — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCA PCC
Examples
- "Loading my own congestion control onto a BF port." — this
is in scope. Stay on host-side
doca_pcc+ a DPACC-builtdoca_pcc_app; do not rewrite the algorithm body here. - "DOCA_ERROR_NOT_PERMITTED on algorithm load." — check the firmware custom-PCC slot and DPA exposure before changing the load call.
Instructions
Follow Loading order below. Open the tasks companion for configure / load / debug. Open the capabilities companion for the triple-axis cap query. Do not open every companion file.
Where to start: This skill assumes DOCA is already installed,
the user's BlueField has a DPA processor that the host can see
through DOCA, the BlueField firmware has the custom-PCC slot
enabled, and the user is doing hands-on custom PCC work from
the host side — i.e. using doca-pcc to load a DPA-side
congestion control algorithm onto the BlueField, attach it to a
port handling RDMA / RoCE traffic, and parameterize it from the
host. Open the tasks companion if the user wants to do
something (configure / build / modify / run / test / debug);
open the capabilities companion when the question is
what can the host-side PCC API express on this version + this
BlueField generation + this firmware. If the user has not
installed DOCA yet, route to
doca-setup/SKILL.md first; if the user is
asking how to write the DPA-side congestion-control algorithm
itself (the code that runs on the DPA processor, compiled by
dpacc), that is a different scope — route via
doca-public-knowledge-map/SKILL.md
to the public DOCA PCC programming guide and to
doca-dpa/SKILL.md for the host-side DPA
lifecycle this skill builds on. If the user only wants to
inspect PCC counters at runtime without writing a custom
algorithm, that is the pcc_counters CLI tool — route via
doca-public-knowledge-map ## DOCA tools (doca-public-knowledge-map/SKILL.md#doca-tools);
this skill is for custom algorithms only.
Example questions this skill answers well
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.
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 0de942d6c9d0
- 15d ago Changed · -24 lines 259b8daf1017
- 23d ago Changed · +20 lines f5e208984094
- 2mo ago First seen · 372 lines · 240 tokens per session scan A e74ce6abe8e5
doca-pcc is a skill published in the GitHub repository NVIDIA/skills (3,873 stars, last pushed yesterday), licensed Apache-2.0. It adds 240 tokens to every session and 4,449 once invoked, about $0.0010 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-pcc compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| doca-pccNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 240 | 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 |