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 cdf-orchestration-preflightgit 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/cdf-orchestration-preflight)<a href="https://agentmods.dev/skills/nvidia/skills/cdf-orchestration-preflight"><img src="https://agentmods.dev/badge/skills/nvidia/skills/cdf-orchestration-preflight/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/cdf-orchestration-preflight"><img src="https://agentmods.dev/badge/skills/nvidia/skills/cdf-orchestration-preflight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00104 | $0.02318 |
| Opus 5.5 | $0.00042 | $0.00927 |
| Sonnet 5.5 | $0.00021 | $0.00464 |
| Haiku 4.5 | $0.00010 | $0.00232 |
Grade B, and why
cdf-orchestration-preflight scanned grade B 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 today.
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.
Reaches for credential filesmediumPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
`~/.kube/config`: use the supplied `KUBECONFIG` path for an existing cluster. For a new cluster, Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cosmos Data Factory Orchestration Preflight
Determine what the current environment can install and which packaged DAGs it can run. Report partial readiness precisely; do not collapse a mixed environment into a single pass/fail result.
Safety and scope
Start with a read-only audit. Never print kubeconfig content, API keys, tokens, AWS credentials,
Kubernetes Secret bodies, or raw command output that may contain them. Do not silently use
~/.kube/config: use the supplied KUBECONFIG path for an existing cluster. For a new cluster,
bootstrap creates the kubeconfig.
This skill may offer prerequisite remediation after the audit. Before changing a host, cluster, or
tracked configuration, show the exact target and commands and obtain approval. Stop after
prerequisites are ready: do not run make setup, build or push the Airflow image, install the
controller Helm release, or trigger a DAG. Those are deployment or workflow tasks.
Set up missing prerequisites
For a fresh Linux environment, read bootstrap.md. It covers local tools, the Python environment, container runtime, Kubernetes, GPU/storage setup and secrets. Reuse working prerequisites and follow the user's execution preference. Installing the Helm client is prerequisite setup; deploying the controller belongs to the setup skill.
Run the audit
Run the bundled script from the repository root:
python3 skills/cdf-orchestration-preflight/scripts/preflight.py audit \
--repo-root "$PWD" \
--kubeconfig "$KUBECONFIG"
Use --format json when a machine-readable report will help. The script is read-only. If
KUBECONFIG is unset, ask for its path when a cluster exists; otherwise follow bootstrap.
Omit --kubeconfig to run local checks before a cluster exists. AIRFLOW_URL and
AIRFLOW_TOKEN may be exported for authenticated post-install checks; never put the token on the
command line.
When the user supplies an already-published controller image, pass its exact registry-qualified
reference with --prebuilt-controller-image REGISTRY/REPOSITORY:TAG. This switches installation
readiness from build/push prerequisites to a read-only docker manifest inspect check. For a
private registry, authenticate Docker before the audit without exposing credentials; the audit
does not log in, pull the image, or persist registry credentials. A missing or inaccessible
manifest leaves install_readiness UNVERIFIED.
What ships with it
14 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.
- agents/openai.yaml 292 B
- BENCHMARK.md 9.6 KB
- config/readiness-profiles.json 4.5 KB
- config/skillspector-baseline.yaml 4.4 KB
- evals/evals.json 11 KB
- references/bootstrap.md 17 KB
- references/nfs-remediation.md 2.4 KB
- references/readiness-model.md 5.4 KB
- scripts/preflight.py 65 KB runs code
- scripts/storage_check.py 8.2 KB runs code
- skill-card.md 4.9 KB
- skill.oms.sig 6.8 KB
- tests/test_preflight.py 51 KB runs code
- tests/test_storage_check.py 8.7 KB runs code
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.
- today First seen · 179 lines · 104 tokens per session scan B a8710beb5df8
cdf-orchestration-preflight is a skill published in the GitHub repository NVIDIA/skills (3,683 stars, last pushed today), licensed Apache-2.0. It adds 104 tokens to every session and 2,318 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-22.
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