Is Tao Run Platform safe and trustworthy?

tashan scores Tao Run Platform on public evidence — it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Tao Run Platform?

Drop the skill folder into ~/.claude/skills/ (user scope) or .claude/skills/ (project scope).

Who maintains Tao Run Platform?

30 GitHub contributors, source: NVIDIA/skills.

‹ The Index

Tao Run Platform

skill

TAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM, local Docker, Kubernetes). Use when the user wants to run TAO jobs through the SDK, get job tracking, S3 I/O wrapping, multi-node distributed training, or platform-specific features that docker-run can't provide. Trigger phrases include "use the TAO SDK", "call taosdk", "AutoMLRunner", "ActionWorkflow", "Job handles", "S3 I/O wrapping", "TAO platform run".

Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Install (Claude Code):

cp -r tao-run-platform ~/.claude/skills/

Adoption: 1 repos
Upkeep: 96.0
Freshness: 92.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 30
License: Apache-2.0

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it, shows worked examples, covers setup and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

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Pro adds the history to tashan doctor, so a run over your own config says which of yours gained an advisory, started running an install script, or lost its last maintainer — and what to move to.

Every score since we started measuring, for any capability
The named replacement when something you run is dying — not just that it is
tashan doctor over the config you already have, on your machine

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source ↗ · skill:NVIDIA/tao-run-platform

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-08-20 · scorer s5 · how · something wrong here?