tao-train-codetr SKILL.md skillA
tao-train-codetr 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-train-codetr@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-train-codetr/SKILL.md- Versions recorded
- 2
- Latest version
- v0.1.0, committed Aug 11, 2026
- First version recorded
- Aug 10, 2026
- Size
- 19,149 bytes
- Repository stars
- 95
- License
- Apache-2.0
Co-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid.
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
# Co-DETR > **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). Co-DETR trains a DETR detector alongside auxiliary one-to-many assignment heads (`num_co_heads`), which supervise the encoder more densely than DETR's one-to-one matching alone. The auxiliary heads exist only during training; inference runs the primary DETR head. Backbones are large by default — `vit_large_codetr` for training, `swin_large_patch4_window7_224` for the reference inference/eval configs — so this is an accuracy-first model, not a latency-first one. ## Availability — probe, then fall back to the module The `codetr` **console script is not registered** in the TAO PyTorch images checked so far (`7.0.1-pyt` and the `2026.7.31-rc-12-multiarch` nightly), even though the module itself ships. So a bare `codetr` invocation fails while the network is perfectly usable. Probe in two steps and use whichever works: ```bash # 1. console script (preferred when present) docker run --rm "$TAO_PYT_IMAGE" codetr --help >/dev/null 2>&1 && CODETR="codetr" …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-train-codetr@sha256:600c9542535d121dThe 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_ld55v6vdegdusfmc)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 10, 2026 and Aug 11, 2026, about one every day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-11 | 5886e2c | 19,149 B | A | view · diff |
| v0.1.0 | 2026-08-10 | 69515b1 | 18,928 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 (19149 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_ld55v6vdegdusfmc GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-train-codetr GET https://markdownregistry.com/api/v1/blob/600c9542535d121d89b2a11d06cbaa53850d8efa7dcb7c1bb1e9e2f07bd65e3e
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.