Individual skill
tao-prepare-anomalygennext-inputs
Prepare normalized object-detection false negatives, source masks, and clean-image embedding inputs for AnomalyGenNext. Use when turning box-level FN gaps into a frozen, pair-preserving preparation plan. Do not use for training or generation.
skills/tao-prepare-anomalygennext-inputs/SKILL.md
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- Nov 6, 2026
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- 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
- input-preparation Declared skill tag
- data Derived category
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BENCHMARK.mddoc · 7,197 bytesSKILL.mdcore · 6,693 bytesSKILL.mdcore · 6,693 bytesSKILL.mdcore · 6,693 bytesSKILL.mdcore · 6,693 bytesSKILL.mdcore · 6,693 bytesassets/default_filtering.yamlasset · 1,314 bytesconfig/skillspector-baseline.yamlasset · 3,075 bytesevals/evals.jsonasset · 931 bytesreferences/input-contract.mddoc · 5,519 bytesreferences/skill_info.yamlasset · 2,115 bytesscripts/finalize_anomalygennext_inputs.pyruns · 9,812 bytesscripts/prepare_anomalygennext_inputs.pyruns · 17,898 bytesscripts/run_anomalygennext_amp.pyruns · 12,888 bytesscripts/tests/test_finalize_anomalygennext_inputs.pyruns · 4,587 bytesscripts/tests/test_prepare_anomalygennext_inputs.pyruns · 15,938 bytesscripts/tests/test_run_anomalygennext_amp.pyruns · 11,817 bytesskill-card.mddoc · 5,153 bytesskill.oms.sigasset · 7,153 bytes
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# Prepare AnomalyGenNext Inputs
The first action freezes eligible false-negative identities, isolates each FN
mask to its bounding box, selects one deterministic same-type mask, and emits
the clean and FN embedding specs. The second action consumes those embedding
results, preserves every FN-to-clean pair, and runs native automatic mask
placement (AMP) from the AnomalyGenNext container. The final action accepts
only pairs for which both mask branches passed AMP, then freezes the exact
generation inputs and their hashes.
## Input contract
Start from `assets/default_filtering.yaml`. The gap parquet must contain:
