tao-run-deft-cr-its-mining SKILL.md skillA

tao-run-deft-cr-its-mining 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-run-deft-cr-its-mining@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/applications/tao-run-deft-cr-its-mining/SKILL.md
Versions recorded
7
Latest version
v0.1.0, committed Oct 13, 2026
First version recorded
Aug 11, 2026
Size
20,130 bytes
Repository stars
95
License
Apache-2.0

Run the mining-based DEFT improvement workflow for ITS Cosmos-Reason binary video questions, focused on the non-reasoning classification/evaluation path. Use when the user asks for a DEFT CR ITS mining workflow, traffic-camera Cosmos Reason improvement loop, collision-identification workflow with data mining, or iterative Cosmos-RL refinement driven by gap analysis.

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

# Skill: TAO Run DEFT CR ITS Mining

## Prerequisites

Before preflight, follow `references/host-prerequisites.md`; use its selected `DEFT_PYTHON` for every bundled helper and stop if the dependency probe fails.

## Bundled Resources

Resolve `DEFT_SKILL_ROOT` to the absolute directory containing this installed `SKILL.md`. The agent or plugin runtime resolves this path; it is not a user input. Invoke bundled helpers with `"$DEFT_PYTHON" "$DEFT_SKILL_ROOT/scripts/<name>.py" ...`. Never require a skill-bank checkout or change the user's working directory to a repository root.

This workflow invokes `tao-finetune-cosmos-embed`, `tao-analyze-gaps-vlm-bcq`, `tao-mine-nearest-neighbors`, and the selected platform skill by registered skill name. Those skills own their credentials, actions, and bundled assets. Cosmos Reason is workflow-owned: resolve `images.tao_toolkit.deft_cosmos_reason`, generate TOMLs with this workflow's helpers and configured base templates, and submit the exact train/evaluate commands in `references/mining-loop.md` through the selected platform. The baseline-preparation stage reuses only `tao-finetune-cosmos-reason`'s packaged Omni-to-Qwen3-VL conversion helper; do
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-run-deft-cr-its-mining@sha256:0a851c085aff1a3c

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_cnmbt2s73dwn44ad.svg)](https://markdownregistry.com/a/art_cnmbt2s73dwn44ad)

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

Versions

The registry has recorded 7 versions of this file, between Aug 11, 2026 and Oct 13, 2026, about one every 10 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-10-13 5af97c9 20,130 BA view · diff
v0.1.02026-10-12 bb4fe0f 19,969 BA view · diff
v0.1.02026-10-12 3ab2a35 20,033 BA view · diff
v0.1.02026-08-26 e91a65c 19,880 BA view · diff
v0.1.02026-08-24 d7d0a04 20,019 BA view · diff
v0.1.02026-08-24 09acedc 19,994 BA view · diff
v0.1.02026-08-11 85ff6b9 19,923 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 (20130 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_cnmbt2s73dwn44ad
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-deft-cr-its-mining
GET https://markdownregistry.com/api/v1/blob/0a851c085aff1a3cea2365aa0af58cc9c57a955dfecb83dd349d89af750fcee7

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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