tao-train-fast-foundation-stereo SKILL.md skillA

tao-train-fast-foundation-stereo from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia-tao/tao-skill-bank/tao-train-fast-foundation-stereo@v0.1.0

Pins 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/models/tao-train-fast-foundation-stereo/SKILL.md
Versions recorded
4
Latest version
v0.1.0, committed Aug 3, 2026
First version recorded
Jun 3, 2026
Size
11,859 bytes
Repository stars
95
License
Apache-2.0

Real-time stereo depth estimation using FastFoundationStereo (FFS), the distilled bp2 commercial variant of.

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

# Depth Net Fast Stereo

> **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).

Real-time stereo depth estimation using **FastFoundationStereo (FFS)** — the bp2 commercial distilled variant of FoundationStereo. Predicts disparity maps from rectified stereo image pairs with per-layer pruned widths for real-time inference.

The mono / stereo / fast-stereo skills share the unified TAO `depth_net` CLI; FFS is selected via `model.model_type: FastFoundationStereo`. FFS differs from `FoundationStereo` only in pruned per-layer widths and a serialized forward path; everything else (entrypoint, action verbs, dataset classes, deploy chain) is identical to `depth-net-stereo`.

For TAO Deploy TensorRT actions (`gen_trt_engine`, TensorRT `evaluate`, TensorRT `inference`), read `references/tao-deploy-fast-foundation-stereo.md` first. The deploy spec template lives at `references/spec_template_deploy.yaml`.

## When to Use

Use this skill to train, evaluate, export, or run inference for a TAO FastFoundationStereo model. Two supported use cases:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-train-fast-foundation-stereo@sha256:d15c774f1ba98a0c

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_7gwl6zqpwk3t7pg7.svg)](https://markdownregistry.com/a/art_7gwl6zqpwk3t7pg7)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Jun 3, 2026 and Aug 3, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-03 03f2daa 11,859 BA view · diff
v0.1.02026-06-22 dd187ad 11,680 BA view · diff
v0.1.02026-06-08 02b2345 14,704 BA view · diff
v0.12026-06-03 2fd0a48 29,397 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11859 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

GitHub

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_7gwl6zqpwk3t7pg7
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-train-fast-foundation-stereo
GET https://markdownregistry.com/api/v1/blob/d15c774f1ba98a0cf313898e08e607156e4a4fe8cc038bd71b8328a57c642478

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.

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