tao-finetune-clip SKILL.md skillA
tao-finetune-clip 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-finetune-clip@v0.1.0Pins v0.1.0 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/models/tao-finetune-clip/SKILL.md- Versions recorded
- 7
- Latest version
- v0.1.0, committed Oct 9, 2026
- First version recorded
- Aug 3, 2026
- Size
- 19,901 bytes
- Repository stars
- 95
- License
- Apache-2.0
CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX.
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
# CLIP > **Standalone install?** Read [CLIP standalone setup](references/standalone-setup.md) and verify the bank checkout before running `tao-setup` or launching a CLIP action. Contrastive Language-Image Pre-training model for zero-shot and fine-tuned image classification, image-text retrieval, and embedding extraction. Fine-tuning adapts CLIP's shared image-text embedding space to domain-specific image-caption data. No default NGC pretrained checkpoint is required for spec construction, but unset checkpoint behavior is action-specific. In the validation-fixes PyTorch image, `export.checkpoint: null` exports the selected CLIP architecture and may initialize weights when pretrained weights are unavailable. Do not assume `inference.checkpoint: null` loads pretrained weights: `clip inference` currently calls the checkpoint loader with `None` and fails before embedding extraction. For PyTorch inference, checkpoint-backed evaluation/export, resume, and retrain flows, resolve and pass an exact checkpoint from the parent train output. For trusted TAO checkpoints produced by the current run or a known parent job, set `TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1` on checkpoint-dependent PyTorch …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-finetune-clip@sha256:0335634d8efca6a9The line at the top of this page pins the label v0.1.0, 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_gsnimt2kjdtjbczv)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Aug 3, 2026 and Oct 9, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-09 | d5fd318 | 19,901 B | A | view · diff |
| v0.1.0 | 2026-10-06 | 2eb492d | 19,755 B | A | view · diff |
| v0.1.0 | 2026-09-29 | cd1a030 | 17,196 B | A | view · diff |
| v0.1.0 | 2026-08-28 | 0ea1223 | 15,872 B | A | view · diff |
| v0.1.0 | 2026-08-28 | 473b93c | 15,872 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 366c7ca | 15,676 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 15,336 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 (19901 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_gsnimt2kjdtjbczv GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-finetune-clip GET https://markdownregistry.com/api/v1/blob/0335634d8efca6a9f747b438206ff4085396d041078eb1e47be82c38d31f4072
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.