tao-run-on-virtualenv SKILL.md skillA
tao-run-on-virtualenv 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-virtualenv@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-tao/tao-skill-bank
- Path
skills/platform/tao-run-on-virtualenv/SKILL.md- Versions recorded
- 3
- Latest version
- v0.1.0, committed Oct 12, 2026
- First version recorded
- Aug 5, 2026
- Size
- 6,473 bytes
- Repository stars
- 95
- License
- Apache-2.0
Run a Python training/eval script directly in an existing local virtualenv — no docker, no container. Implements the four-verb consumer contract (submit/status/logs/cancel) over a vendored process-lifecycle runner with durable on-disk state, PID-reuse-safe identity, and process-group cleanup. Use for docker-free local execution, plain-Python model scripts, fast HPO/AutoML trial smokes, or hosts where containers are unavailable. Trigger phrases include "run in my venv", "no docker…
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
# Virtualenv — docker-free local Python execution > **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). The virtualenv platform runs a Python script **natively in an existing venv** — as an argv vector whose first element is `<venv>/bin/python`, never through a shell, never activating anything. The vendored runner (`references/virtualenv_runner.py`) is this platform's "native CLI" — the role `docker`/`kubectl`/`sbatch` play elsewhere — and owns only the process lifecycle. Job records stay with `tao_job_record.py`; specs are authored by the agent, exactly like every other platform. ## When to use - The workload is a **plain Python script** (its dependencies pip-installed in a venv), not a TAO container action. - **No docker** on the host, or container startup cost isn't worth it (fast smokes, AutoML trial loops over lightweight models). - Single node only. For TAO container actions use `tao-run-on-docker`; for clusters use `-slurm` / `-kubernetes`. ## Preflight ```bash # 1. The venv is real and has an executable interpreter. …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-run-on-virtualenv@sha256:1e000ed93f072e96The 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_au4dlwqtjjssruzg)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Aug 5, 2026 and Oct 12, 2026, about one every 34 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-12 | 42594ec | 6,473 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 115ac6d | 6,154 B | A | view · diff |
| v0.1.0 | 2026-08-05 | ae5e99c | 6,085 B | A | view |
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 (6473 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-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_au4dlwqtjjssruzg GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-on-virtualenv GET https://markdownregistry.com/api/v1/blob/1e000ed93f072e960c5e784226fbd6753f99c40b32655f6e9806ae182634c2ba
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.