ladder SKILL.md skillA

ladder from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add understudylabs/orchestra-agent-tools/ladder@git:20261027.3c367b0

Pins git:20261027.3c367b0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
understudylabs/orchestra-agent-tools
Path
skills/ladder/SKILL.md
Versions recorded
5
Latest version
git:20261027.3c367b0, committed Oct 27, 2026
First version recorded
Jun 19, 2026
Size
6,574 bytes
Repository stars
19
License
MIT

Use to give a developer an immediate local-vs-frontier model comparison before they have their own traces — "what can a local model do", "is a small model good enough", "compare a local model to a frontier model", "the onboarding climb". For comparing many models on a user's own eval, use compare-model-sweep; to serve a local model, use run-local-model-lab.

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

# Ladder — the onboarding "climb"

A small, self-contained **local** web UI for watching and comparing LLMs on the
same task. It is the no-data front door: a developer launches it and watches a
small local model and a frontier model attempt the same task side by side —
live reasoning, real tool calls, strict scoring — without needing any of their
own traces first. As the task gets harder, the small local model keeps pace and
then drops off where the frontier model carries on. That contrast is the hook
into the rest of the improvement loop.

## When to use

- A new user asks "what can a local model actually do?" / "is a small model good
  enough?" / "show me local vs frontier."
- During or right after `onboard`, to make the local-vs-frontier difference
  concrete before steering them toward their own workload.
- Any time a visceral, zero-setup-data demo of agentic behavior + scoring helps.

For the user's **own** eval across **many** candidate models, hand off to
`compare-model-sweep`. To serve a local model against the user's **real**
workload, hand off to `run-local-model-lab`.

## Run it

**Prerequisites** (otherwise-silent assumptions):
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add understudylabs/orchestra-agent-tools/ladder@sha256:f854a4d802fa59d2

The line at the top of this page pins the label git:20261027.3c367b0, 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_oorhrqwkrzutltkb.svg)](https://markdownregistry.com/a/art_oorhrqwkrzutltkb)

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

Versions

The registry has recorded 5 versions of this file, between Jun 19, 2026 and Oct 27, 2026, about one every 33 days.

versioncommittedcommitsizeaudit
git:20261027.3c367b0 latest2026-10-27 3c367b0 6,574 BA view · diff
git:20261027.e8213322026-10-27 e821332 6,578 BA view · diff
git:20261020.17ad7302026-10-20 17ad730 6,580 BA view · diff
git:20260619.f8ac6a42026-06-19 f8ac6a4 6,279 BA view · diff
git:20260619.75e83db2026-06-19 75e83db 6,308 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 (6574 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

understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_oorhrqwkrzutltkb
GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/ladder
GET https://markdownregistry.com/api/v1/blob/f854a4d802fa59d24429d5240bfd8fe4af9a5bac1fd948f6dc062a4487ec1aee

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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Every file in understudylabs/orchestra-agent-tools

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