ebench-evaluate SKILL.md skillA

ebench-evaluate from internrobotics/ebench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add internrobotics/ebench/ebench-evaluate@git:20260923.5985d56

Pins git:20260923.5985d56 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
internrobotics/ebench
Path
skills/ebench-evaluate/SKILL.md
Versions recorded
1
Latest version
git:20260923.5985d56, committed Sep 23, 2026
Size
7,700 bytes
Repository stars
149
License
MIT

Run and monitor an EBench policy evaluation against a local GenManip server or the online service, including baseline launch commands, worker allocation, and reproducible run records.

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

# Run an EBench policy evaluation

Work from the EBench root. Read the selected baseline entry point and the relevant CLI implementation under `third_party/genmanip-client/src/genmanip_client/`. Verify installed `gmp ... --help` before relying on flags from a different revision.

## Define the run

Resolve model/checkpoint, track, split, server mode, GPU/worker budget, and output directory from the request. Use `val_train` / `val_unseen` for tuning. Run held-out `test` when requested for final evaluation; do not silently substitute a split or tune on held-out results.

Record a small manifest beside the run logs: EBench and submodule commits, local code changes, checkpoint revision/path, config and normalization source, track/split/task selection, run/task ID, worker-to-GPU mapping, action/replan horizon, start time, sanitized command, and result locations. Mark unavailable fields as unknown. Exclude tokens and signed credentials.

## Select one submission path
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add internrobotics/ebench/ebench-evaluate@sha256:eb84daac8881dadc

The line at the top of this page pins the label git:20260923.5985d56, 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_qgkcezmmxsm4mb4h.svg)](https://markdownregistry.com/a/art_qgkcezmmxsm4mb4h)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 23, 2026.

versioncommittedcommitsizeaudit
git:20260923.5985d56 latest2026-09-23 5985d56 7,700 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 (7700 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

internrobotics/ebench · 149 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qgkcezmmxsm4mb4h
GET https://markdownregistry.com/api/v1/resolve?ref=internrobotics/ebench/ebench-evaluate
GET https://markdownregistry.com/api/v1/blob/eb84daac8881dadc208172695cc9ffa5bdcc4942aa43e4d30e94742a85e20790

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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