emit-reviewable-rrd SKILL.md skillA

emit-reviewable-rrd from nebius/nebius-physical-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nebius/nebius-physical-ai/emit-reviewable-rrd@git:20260908.ce11c49

Pins git:20260908.ce11c49 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nebius/nebius-physical-ai
Path
skills/workflows/emit-reviewable-rrd/SKILL.md
Versions recorded
2
Latest version
git:20260908.ce11c49, committed Sep 8, 2026
First version recorded
Sep 4, 2026
Size
7,894 bytes
Repository stars
106
License
Apache-2.0

Use when authoring, reviewing, or operating an NPA workflow whose real run outputs should become a reviewable Rerun .rrd recording with factual timelines, provenance, declared artifacts, and independent content validation.

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

# Emit reviewable RRD artifacts

Build the recording from the run being reviewed. A stock example, generated
placeholder, screenshot, or renamed JSON file is never evidence for the run.

## Procedure

1. Identify the actual stage outputs that contain the facts to visualize. Keep
   raw customer inputs private; extract only the metrics, events, frames, or
   trajectories needed for review.
2. Choose timelines that preserve source semantics. Use `optimizer_step` for
   training progress, real capture time for timestamped sensors, and an
   explicitly labelled dataset/frame index when capture time does not exist.
3. Choose stable entity paths before writing. For training, prefer grouped
   entities such as `metrics/loss`, `metrics/learning_rate`,
   `throughput/global_samples_per_second`, `health/gradient_norm`,
   `checkpoint/materialized`, and `provenance/run`.
4. Set the Rerun recording id to the workflow run id. Record sanitized static
   provenance: producer, source revision, recipe/config identity, source
   artifact hashes, and factual limitations. Never embed credentials, signed
   URLs, customer payloads, hostnames, pod/node ids, or private infrastructure
   identifiers.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nebius/nebius-physical-ai/emit-reviewable-rrd@sha256:5b62b56deef76b85

The line at the top of this page pins the label git:20260908.ce11c49, 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_o337yu4aybma6jrv.svg)](https://markdownregistry.com/a/art_o337yu4aybma6jrv)

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

Versions

The registry has recorded 2 versions of this file, between Sep 4, 2026 and Sep 8, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
git:20260908.ce11c49 latest2026-09-08 ce11c49 7,894 BA view · diff
git:20260904.7acb45c2026-09-04 7acb45c 7,258 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 (7894 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 · 106 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_o337yu4aybma6jrv
GET https://markdownregistry.com/api/v1/resolve?ref=nebius/nebius-physical-ai/emit-reviewable-rrd
GET https://markdownregistry.com/api/v1/blob/5b62b56deef76b850b4bb7c7572fccd5fdccc852cd58e4748d46c4961da34183

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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