encord

encord is a skill for Claude Code, Codex from nebius/nebius-physical-ai. It costs 30 tokens per session (797 once invoked), scanned A, original, Apache-2.0.

A procedure for registering media stored in Amazon S3 with Encord, a hosted service for managing media datasets, or for retrieving and checking that media. It records information needed to trace each item back to its source.

In plain words
What is it for?
Use it to preflight the connection, register or upload S3 media, retrieve curated media, and verify an exact round trip with lasting source records.
Why use it?
It helps prevent mismatched files, duplicate transfers, lost identity, and exposed credentials when moving media between S3 and Encord.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to preflight the connection, register or upload S3 media, retrieve curated media, and verify an exact round trip with lasting source records.

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Install with agentmods
npx agentmods add skills/nebius/nebius-physical-ai/encord
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nebius/nebius-physical-ai --skill encord
Clone the repo
git clone --depth 1 https://github.com/nebius/nebius-physical-ai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for encord

README.md
[![agentmods](https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/encord/github.svg)](https://agentmods.dev/skills/nebius/nebius-physical-ai/encord)
Your own site
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/encord"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/encord/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for encord

Your own site · 80×15
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/encord"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/encord.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 797 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00797
Opus 5.5 $0.00012 $0.00319
Sonnet 5.5 $0.00006 $0.00159
Haiku 4.5 $0.00003 $0.00080

Measured 23d ago against content hash 89cedeaed3d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

encord scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/tools/encord/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

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

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. If S3 has no full-object SHA-256, register reads every source byte through the NPA client and requires s3:GetObject; it has no hashing opt-out.

Require exact source URI, complete object key or URL, namespaced metadata, stable item UUID, or a sidecar assertion. Never use a filename or basename as identity. Stop when exact signals conflict.

Pull

The default --label-export none avoids label initialization. Use --label-export initialize only when the operator explicitly selects and confirms that remote Encord label-state mutation. Retain the resulting manifest as evidence. New pulls emit npa.encord.pull_manifest.v2, with exact transferred source_size and separate provider_reported_size. Verification and rendering continue to read v1 without rewriting its size fields.

Labeling demo

Partner workflows and their runbook live in workflows/partners/encord/. encord-labeling-demo.yaml runs push → import-labels → project pull with label initialization → media verification → render-labels. Import creates a new ontology and project from a SHA-256-bound video plan (v1 boxes; v2 box/polygon tracks and temporal classifications). It refuses existing project titles and output receipts. Rendering compares the actual exported row/object identities, frames, classes, coordinates, and classification options/ranges, then produces annotated MP4s from those exported labels. These are unreviewed programmatic prelabels, not human-approved annotations. Keep that distinction in demos. Select the new project and S3 targets before execution. Keep exact remote identities and signed label-export media URLs in private evidence.

Read the full file on GitHub · 85 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 23d ago Changed · +18 lines 89cedeaed3d9
  2. 27d ago First seen · 67 lines · 30 tokens per session scan A bdc8e3652650

Subscribe to this mod's changes

encord is a skill published in the GitHub repository nebius/nebius-physical-ai (50 stars, last pushed today), licensed Apache-2.0. It adds 30 tokens to every session and 797 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-25.

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