tao-run-deft-cr-its-mining agent skill by NVIDIA
Runs a mining-based DEFT improvement loop for ITS Cosmos-Reason binary video questions, focusing on classification and evaluation without reasoning, driven by gap analysis.
At a glance
| Publisher | NVIDIA Official |
|---|---|
| Repository | NVIDIA/skills (396 listed skills) |
| Category | AI Agents and LLM Engineering |
| License | Apache-2.0 |
| Last commit | October 17, 2026 (repository) |
| SKILL.md | 219 lines, 2,292 words |
| Bundled files | 40 files, including references, scripts, assets or templates |
| Quality score | 87/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 28 script files (27 Python, 1 Shell). Your agent may run them, so read them first.
- Environment variables its scripts read:
HF_TOKEN,HUGGING_FACE_HUB_TOKEN. Check SKILL.md for which ones it needs. - Network: its scripts use an HTTP client or a cloud SDK, and name
huggingface.co. - Tool permissions requested:
Read Bash Write Task(theallowed-toolsfield of SKILL.md). - License: Apache-2.0, an open-source or open-content license.
Install tao-run-deft-cr-its-mining
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/NVIDIA/skills/tree/main/skills/tao-run-deft-cr-its-miningtmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/tao-run-deft-cr-its-mining .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo NVIDIA/skills \
--path skills/tao-run-deft-cr-its-miningNVIDIA/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
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.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Compatibility, from SKILL.md
| Compatibility | Requires Docker with NVIDIA Container Toolkit, Python 3.11 with venv/ensurepip, numpy, pandas, pyarrow, PyYAML, and huggingface_hub, plus the selected platform CLI. |
|---|
Sections in SKILL.md
- Prerequisites
- Bundled Resources
- User Inputs (DEFT Workspace and Workflow Configuration Yaml)
- Workflow Configuration
- Baseline Evaluation
- Initialize Mining Embeddings
- Run Cosmos Embed Inference
- DEFT Mining Loop
- Completion Criteria
- Troubleshooting
Files in the skill folder
BENCHMARK.mdSKILL.mdassets/cr_base_evaluate.tomlassets/cr_base_train.tomlassets/default_cosmos_embed_inference.yamlconfig/skillspector-baseline.yamlevals/evals.jsonreferences/cosmos-reason-model-preparation.mdreferences/host-prerequisites.mdreferences/mining-loop.mdscripts/batch_cosmos_embed_text.pyscripts/cleanup_cosmos_reason_training.pyscripts/compute_bcq_accuracy_metrics.pyscripts/cosmos_embed_outputs_to_parquet.pyscripts/deft_python.shscripts/find_cosmos_reason_results.pyscripts/initialize_workflow.pyscripts/log_stage.pyscripts/native_process.pyscripts/prepare_cosmos_embed_inference.pyscripts/prepare_cosmos_reason_evaluate.pyscripts/prepare_cosmos_reason_model.pyscripts/prepare_cosmos_reason_train.pyscripts/prepare_gap_analysis_predictions.py
Showing 24 of 40 files. Browse the folder on GitHub.
Suede Skill Check: 87/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 4fc9cf6cec78. Report version 789fda0bcdaa. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
tao-run-deft-cr-its-mining passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 5 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 0 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 1 of 7 |
| Tool permissions declared | 2 of 2 |
| Compatibility declared | 2 of 2 |
Two badges for tao-run-deft-cr-its-mining
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede listing; either valid linked badge can qualify for the feature offer.
[](https://skills.suedeai.ai/directory/nvidia/skills/tao-run-deft-cr-its-mining/)
[](https://skills.suedeai.ai/directory/nvidia/skills/tao-run-deft-cr-its-mining/)<a href="https://skills.suedeai.ai/directory/nvidia/skills/tao-run-deft-cr-its-mining/"><img src="https://skills.suedeai.ai/directory/nvidia/skills/tao-run-deft-cr-its-mining/score.svg" alt="Suede Skill Check: 87/100" width="160" height="175"></a>
<a href="https://skills.suedeai.ai/directory/nvidia/skills/tao-run-deft-cr-its-mining/"><img src="https://skills.suedeai.ai/directory/nvidia/skills/tao-run-deft-cr-its-mining/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: display either the numeric or letter badge in your repository or skill README (both also qualify), then request badge verification. Eligible skills scoring 80–99 can receive a featured placement after Suede verifies at least one valid badge linked to the skill’s listing. Suede has not announced an end date.
Where this skill is cited
NVIDIA/skills appears in 1 curated list: VoltAgent/awesome-agent-skills.