Individual skill
tao-generate-od-defects
Run AnomalyGenNext 1.1 inference from a native testcase or a prepared generation plan, then publish validated fine-grained and binary COCO labels. Use for synthetic object-detection defect generation, not model training.
skills/tao-generate-od-defects/SKILL.md
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- Last checked
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- tao Declared skill tag
- data Declared skill tag
- anomalygen-next Declared skill tag
- object-detection Declared skill tag
- synthetic-data Declared skill tag
- coco Declared skill tag
- data Derived category
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BENCHMARK.mddoc · 7,108 bytesSKILL.mdcore · 3,857 bytesconfig/skillspector-baseline.yamlasset · 1,461 bytesevals/evals.jsonasset · 901 bytesreferences/container-runtime.mddoc · 2,987 bytesreferences/execution-contract.mddoc · 4,560 bytesreferences/skill_info.yamlasset · 1,892 bytesscripts/generate_od_defects.pyruns · 15,317 bytesscripts/tests/test_generate_od_defects.pyruns · 11,203 bytesskill-card.mddoc · 4,798 bytesskill.oms.sigasset · 6,081 bytes
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# Generate AnomalyGenNext OD Defects
This leaf uses the upstream generator and pseudo-labeler in the pinned public
container. It does not prepare detector gaps, run AMP, train AnomalyGenNext, or
append outputs to a detector training set.
Read `references/execution-contract.md` when adapting input or completion
behavior, and `references/container-runtime.md` before submission.
## Inputs
Pass either:
- `--inputs-dir` pointing to the completed output of
`tao-prepare-anomalygennext-inputs`; or