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Paidf Anomalygen

skill

- Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nnscore), and search per-sample (guidance, cropratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetuneonly (Phase 0→1: train only), inferenceonly (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.

Works with: Claude Code (native)  ·  Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: AI & Agents — see all ranked ›

Install (Claude Code):

cp -r paidf-anomalygen ~/.claude/skills/

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it, shows worked examples and covers setup.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

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source ↗  ·  skill:NVIDIA/paidf-anomalygen

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Measured 2026-08-20  ·  scorer s5  ·  how  ·  something wrong here?