tao-validate-recipe-transfer SKILL.md skillA

tao-validate-recipe-transfer from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia-tao/tao-skill-bank/tao-validate-recipe-transfer@v0.1.0

Pins 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/applications/tao-validate-recipe-transfer/SKILL.md
Versions recorded
1
Latest version
v0.1.0, committed Aug 7, 2026
Size
16,710 bytes
Repository stars
95
License
Apache-2.0

Port a published computer vision paper's official code and training recipe onto a customer's own dataset, or diagnose why such a transfer produced bad numbers. Use this whenever someone wants to reproduce a CV paper, run a paper's repo on their own images, fine-tune a published detection/segmentation/classification/keypoint model on customer data, adapt a training recipe to a new dataset, or figure out why a fine-tuned vision model scores well on validation but fails in production. Also use…

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

# CV Recipe Transfer

Port published CV work onto customer data without inheriting the silent bugs that make
the resulting numbers meaningless.

## The core idea

This work splits into two phases with **fundamentally different epistemic status**:

- **Phase A (Port)** — get the official code running faithfully. There is external ground
  truth here: the authors' released checkpoint and reported number.
- **Phase B (Transfer)** — move the recipe onto customer data. There is **no** external
  ground truth. The paper's number stops being meaningful the moment the dataset changes.

Everything verifiable must be verified in Phase A, because the safety net disappears at the
boundary. Once you are in Phase B, an implementation bug and a genuine domain mismatch
produce identical symptoms: a mediocre number with a clean-looking loss curve.

Two consequences that drive everything below:

1. Never skip the Phase A gate to "save time." It costs hours and it is the only thing that
   licenses trust in every number that follows.
2. Stop treating the paper's number as the target once the dataset changes. The target is
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-validate-recipe-transfer@sha256:7a475af4c76bcc48

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zgwjmuqn73wgboyx.svg)](https://markdownregistry.com/a/art_zgwjmuqn73wgboyx)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 7, 2026.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-07 7ab48c1 16,710 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16710 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

GitHub

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_zgwjmuqn73wgboyx
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-validate-recipe-transfer
GET https://markdownregistry.com/api/v1/blob/7a475af4c76bcc483a7b356f8cea32aecab16603571f717d7c3444b34762e98a

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.

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