Home / nebius / nebius-physical-ai · skills/tools/encord/SKILL.md · GitHub

encord skillA

encord is agent-read markdown (skill) from nebius/nebius-physical-ai: Use when registering S3 media with Encord SaaS, pulling curated media, or verifying an exact roundtrip with durable lineage artifacts..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

<!-- register: operating procedure | reader: agent operating Encord transport | consumed: task-time reference -->
# Operate the Encord transport

Encord remains remote SaaS. NPA is a stateless CPU client that runs locally or
in the default workflow pod. Do not deploy a service or container for this
integration.

## Preflight

Reference credentials by environment name or NPA credential configuration.
Never embed values in a command, spec, example, receipt, or manifest.

```bash
npa workbench health preflight --checks encord
```

For workflow forwarding, use `ENCORD_SSH_KEY_B64` because a local
`ENCORD_SSH_KEY_FILE` path cannot reach a pod.

## Push

```bash
npa workbench encord push \
  --input-path s3://<bucket>/raw-media/ \
  --integration <encord-cloud-integration> \
  --folder <encord-folder> \
  --output-path s3://<bucket>/encord/push/push_receipt.json
```

Register mode retains S3 as the dataset of record. `--transfer upload` is an
explicit alternative that creates an Encord-managed copy with separate
retention and possible duplication. Never retry a registration failure as an
upload.

Require exact source URI, complete object key or URL, namespaced metadata,
…

Read the whole file at its exact version.

How to install

Latest version
mdr add nebius/nebius-physical-ai/encord@git:20260924.c2142d9
Exact content
mdr add nebius/nebius-physical-ai/encord@sha256:bdc8e3652650c361

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_gsqz7gm4kadvh2s5.svg)](https://markdownregistry.com/a/art_gsqz7gm4kadvh2s5)

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Versions

versioncommittedcommitsizeaudit
git:20260924.c2142d9 latest2026-09-24 c2142d9 2,483 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (2483 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

nebius/nebius-physical-ai · 32 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gsqz7gm4kadvh2s5
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/encord
GET https://markdownregistry.com/api/v1/blob/bdc8e3652650c3611e2cf46d1b71417bdd9689158bbb0be20fc61b61fe56fc3c

Your agent 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.

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