tao-generate-anomalies SKILL.md skillA
tao-generate-anomalies from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-generate-anomalies@v1.0.1Pins v1.0.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-tao/tao-skill-bank
- Path
skills/data/tao-generate-anomalies/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.1, committed Aug 25, 2026
- First version recorded
- Aug 24, 2026
- Size
- 19,577 bytes
- Repository stars
- 95
- License
- Apache-2.0
Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (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…
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
# TAO Generate Anomalies
> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).
Multi-phase pipeline (0–7); the `mode` flag selects which phases run.
| Phase | What runs | Mode(s) |
|---|---|---|
| 0 | Verify / download pretrained checkpoints | all |
| 1 | Fine-tune on `dataset_dir` | `full`, `finetune_only` |
| 2 | Prepare inference JSONL (AMP routing) | `full`, `inference_only` |
| 3 | SDG — generate synthetic anomaly images → `original/` | `full`, `inference_only` |
| 4 | Eval `original/` — emit `per_sample.csv` + `eval.log`, merge `nn_score` into `SDG_result.csv` | `full`, `inference_only` |
| 5 | Per-sample `(guidance, crop_ratio)` search rounds → `rounds/round_NN/` (each round runs SDG + eval) | `full`, `inference_only` |
| 6 | Assemble best-of-rounds into `searched/` (stitch only), plus `rounds/search_summary.csv` | `full`, `inference_only` |
| 7 | Filter `searched/` by `nn_threshold` (default `0.4`), regen dropped samples, then canonical bucket eval → `searched/{per_sample.csv, eval.log}` | `full`, `inference_only` |
…Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-generate-anomalies@sha256:35e7aa0f611118dbThe line at the top of this page pins the label v1.0.1, 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_l4hv22ru6foxujh4)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 24, 2026 and Aug 25, 2026, about one every day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.1 latest | 2026-08-25 | e3e915d | 19,577 B | A | view · diff |
| v1.0.1 | 2026-08-24 | 29020c3 | 19,542 B | A | view |
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 (19577 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-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_l4hv22ru6foxujh4 GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-generate-anomalies GET https://markdownregistry.com/api/v1/blob/35e7aa0f611118dbe35073247ed0a27a8891ba55d1289006621ef65a33bd5844
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.