cdf-defect-image-generation

92 / 100 · Low risk

Fine to try. Some of what it can do is expected: a coding skill usually runs build and test commands.

By NVIDIA/skills (GitHub) · coding · 3,933 stars · scanned at commit 2630133

Generate synthetic PCB inspection images on Kubernetes with the SMT Defect Image Generation (DIG) DAG in CDF Orchestration. The DAG renders components in simulation, turns the renders into realistic golden images (sim2real), and uses AnomalyGen to add texture defects such as solder bridges, excess solder or missing components. Simulation can also render shift, tombstone and sideflip pose defects. Use it to build DIG payloads, pick a pipeline mode (full, simulation, sim2real or defect-only), che…

Works with any agent that supports SKILL.md skills.

What this skill can do

Runs commands on your computer

The author does not mention this. Expected for a coding skill.

Found in 5 places.

skills/cdf-defect-image-generation/SKILL.md, line 134REPO_ROOT=/path/to/cdf-orchestration
skills/cdf-defect-image-generation/SKILL.md, line 182python3 skills/cdf-orchestration-preflight/scripts/storage_check.py --payload <payload.json>
skills/cdf-defect-image-generation/SKILL.md, line 254kubectl port-forward -n sdg-workflow service/sdg-workflow-controller-api-server 8080:8080

Show 2 more

skills/cdf-defect-image-generation/evals/test_payload.py, line 235result = subprocess.run(command, capture_output=True, text=True, timeout=30)
skills/cdf-defect-image-generation/evals/test_payload.py, line 241result = subprocess.run(command, capture_output=True, text=True, timeout=30)

Connects to the internet

This is disclosed by the author in the skill's SKILL.md or README.

Found in 3 places.

skills/cdf-defect-image-generation/references/airflow-direct-api.md, line 13curl -s --max-time 8 "$AIRFLOW_URL/api/v2/version" || echo "ClusterIP not routable; use a port-forward"
skills/cdf-defect-image-generation/references/airflow-direct-api.md, line 28RESPONSE=$(curl -s -X POST "$AIRFLOW_URL/auth/token" -H "Content-Type: application/json" -d @"$AUTH_BODY")
skills/cdf-defect-image-generation/references/airflow-direct-api.md, line 32api() { curl -s -H @"$AUTH_HEADER" "$@"; }

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'cdf-defect-image-generation' ] || [ -L ~/.agents/skills/'cdf-defect-image-generation' ]; then echo 'A skill folder named cdf-defect-image-generation already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/NVIDIA/skills' "$d" && git -C "$d" checkout --quiet '2630133f22e357f2005886567a39eddcc1b520e2' -- 'skills/cdf-defect-image-generation' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/cdf-defect-image-generation' ~/.agents/skills/'cdf-defect-image-generation' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'cdf-defect-image-generation' ~/.claude/skills/'cdf-defect-image-generation' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

Date	Version	Score
2026-11-11	`2630133`	92
2026-11-08	`fce3cca`	92
2026-11-07	`fce3cca`	72