tao-run-on-brev SKILL.md skillB
tao-run-on-brev from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-run-on-brev@v0.2.0Pins v0.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-tao/tao-skill-bank
- Path
skills/platform/tao-run-on-brev/SKILL.md- Versions recorded
- 6
- Latest version
- v0.2.0, committed Oct 15, 2026
- First version recorded
- Aug 3, 2026
- Size
- 8,315 bytes
- Repository stars
- 95
- License
- Apache-2.0
Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev MCP server; this skill covers only the TAO-specific part — running the container over `brev exec` via the four-verb docker contract. Trigger phrases include "run on Brev", "Brev GPU instance", "TAO on Brev", "submit job to Brev".
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
# Brev — TAO execution glue
> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).
NVIDIA Brev provides on-demand GPU instances (pre-loaded with NVIDIA drivers,
CUDA, Docker, and the NVIDIA Container Toolkit). Brev is **instance-based**: you
provision an instance, run commands on it over `brev exec`, and delete it when
done.
This skill is deliberately thin. **Provisioning and managing instances — create,
search by GPU/price, start/stop, delete, login — is owned by NVIDIA Brev's own
agent skill, not duplicated here.** This skill covers only the TAO-specific part:
running a TAO container on a reached instance through the **four-verb docker
contract**, deferring the container-how to `tao-run-on-docker` over `brev exec`.
## Provisioning: use the official Brev skill or MCP
NVIDIA Brev publishes an agent skill that manages instances in natural language
("create an A100 instance", "search for GPUs under $3/hr", "stop all my
instances"). Install it once — it self-registers into your agent's skills dir and
is discovered at runtime:
```bash
…Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-run-on-brev@sha256:d6e9f1ddb47af386The line at the top of this page pins the label v0.2.0, 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_f2q3ehfoguu4ral2)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Aug 3, 2026 and Oct 15, 2026, about one every 14 days. Its first recorded version is graded A and its latest B.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.2.0 latest | 2026-10-15 | f1e6f8d | 8,315 B | B | view · diff |
| v0.2.0 | 2026-08-28 | dc54e8d | 8,334 B | B | view · diff |
| v0.2.0 | 2026-08-28 | ae022a9 | 8,094 B | B | view · diff |
| v0.2.0 | 2026-08-10 | 64c9da4 | 8,075 B | B | view · diff |
| v0.2.0 | 2026-08-05 | ae5e99c | 5,655 B | B | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 12,901 B | A | view |
Audit of the latest version
- fail: No curl or wget piped into a shell (matched: curl -fsSL https://raw.githubusercontent.com/brevdev/brev-cli/main/scripts/install-agent-skill.sh | )
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8315 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 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
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f2q3ehfoguu4ral2 GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-on-brev GET https://markdownregistry.com/api/v1/blob/d6e9f1ddb47af386fd11829240b8b6756b525b140ec3d1a29c0f4f88c1105a9f
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.