manage-local-models SKILL.md skillA
manage-local-models from understudylabs/orchestra-agent-tools is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add understudylabs/orchestra-agent-tools/manage-local-models@git:20261027.533318ePins git:20261027.533318e 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/manage-local-models/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261027.533318e, committed Oct 27, 2026
- First version recorded
- Jul 19, 2026
- Size
- 10,013 bytes
- Repository stars
- 19
- License
- MIT
Use to acquire, cache, organize, and explain local open-weight models — "download a model", "what models do I have", "where did the weights go", "free up model disk", "which Gemma/Nemotron should I pull", "how do open models work". Covers where weights come from and live, formats/quantization, gated weights and HF tokens, disk budgeting, start-small-and-cache, and the local→cloud graduation path. American families (Gemma 4, Nemotron 3). To score a local model on a workload, use…
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
# Manage Local Models Get open-weight models onto the machine, keep them organized, and teach the user enough to choose well. This skill is acquisition + curation + education; to score a local model against a workload, use [`../run-local-model-lab/SKILL.md`](../run-local-model-lab/SKILL.md). The habit this skill installs: **use a small verified model to prove the local loop, then choose the workload candidate from task fit, evidence, hardware, and time.** The bootstrap model is not a route recommendation. Skip directly to a stronger rung when a weak-model sequence would delay the answer; big quality lives one `understudy` route away when you need it. ## Safety Gates - **No download without explicit approval + a size cap.** Always state model, quantization, and GB on disk first, then confirm. Weights are large; a wrong pull can fill a disk. - **Background big pulls.** Announce the ETA, start the download in the background, and keep working — do not block the user on a progress bar. - **Gated weights need consent.** Gemma (and some others) require accepting a license and using a Hugging Face token. Walk the user through acceptance; never …
Read the whole file at its exact version.
How to install
mdr add understudylabs/orchestra-agent-tools/manage-local-models@sha256:f1cd3c68e698fa94The line at the top of this page pins the label git:20261027.533318e, 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.
[](https://markdownregistry.com/a/art_7ge2g65l6kmm4ojc)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 19, 2026 and Oct 27, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261027.533318e latest | 2026-10-27 | 533318e | 10,013 B | A | view · diff |
| git:20261027.3c367b0 | 2026-10-27 | 3c367b0 | 10,016 B | A | view · diff |
| git:20261020.e384b09 | 2026-10-20 | e384b09 | 10,023 B | A | view · diff |
| git:20260722.7efedb0 | 2026-07-22 | 7efedb0 | 10,073 B | A | view · diff |
| git:20260719.1185398 | 2026-07-19 | 1185398 | 9,636 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10013 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
understudylabs/orchestra-agent-tools · 19 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7ge2g65l6kmm4ojc GET https://markdownregistry.com/api/v1/resolve?ref=understudylabs/orchestra-agent-tools/manage-local-models GET https://markdownregistry.com/api/v1/blob/f1cd3c68e698fa946cf5babb867c7b6d6d35a64ac6fb2b6a395ea8719febb4ba
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.