cdf-defect-image-generation SKILL.md skillA
cdf-defect-image-generation from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/cdf-defect-image-generation@v1.0.4Pins v1.0.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/cdf-defect-image-generation/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.4, committed Oct 21, 2026
- Size
- 18,362 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
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)…
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
# CDF Orchestration — SMT Defect Image Generation Run `defect_image_generation_smt_dag_k8s`: CDF Simulation renders PCB components, CDF Augmentation turns the renders into realistic clean (golden) images, and CDF AnomalyGen adds texture defects. Simulation can also render pose defects (shift, tombstone, sideflip). One DAG serves every mode; `pipeline_mode` selects which stages run. ## Requirements Execution needs an authorized Kubernetes connection, a reachable Airflow 3 controller with the DIG DAG loaded, and storage and model access for the chosen mode. The payload checker needs a trusted CDF Orchestration checkout and its Airflow Python environment. Explaining the workflow or drafting JSON needs neither. Execution readiness also requires the companion script `skills/cdf-orchestration-preflight/scripts/storage_check.py` in the product checkout. If it is unavailable, report the missing dependency as a readiness blocker; do not skip the storage mapping check. In that checkout, the payload contract is defined by `airflow/dags/workflows/defect_image_generation_dag/callables/smt/models.py` and …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/cdf-defect-image-generation@sha256:8e64338933fcc6a5The line at the top of this page pins the label v1.0.4, 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.
[](https://markdownregistry.com/a/art_mafrctnbljp6ofzm)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 21, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18362 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
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mafrctnbljp6ofzm GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/cdf-defect-image-generation GET https://markdownregistry.com/api/v1/blob/8e64338933fcc6a5f3f9dbcc5b8b89002346e7329178ba9e99ef8edead856f21
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.