huawei-cloud-cloudrobo-weight-layout SKILL.md skillA
huawei-cloud-cloudrobo-weight-layout from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-weight-layout@git:20261103.4b75736Pins git:20261103.4b75736 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- huaweicloud/huaweicloud-skills
- Path
skills/ai/cloudrobo/huawei-cloud-cloudrobo-weight-layout/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261103.4b75736, committed Nov 3, 2026
- Size
- 5,256 bytes
- Repository stars
- 59
- License
- MIT
Standard directory layout and naming conventions for saving model weights (checkpoints). Use this skill when the user needs to implement checkpoint saving in a training script, restructure an existing checkpoint/output directory layout, decide where to store checkpoint weights and final weights, name weight files, or write a loader/deployment path resolver that consumes checkpoints. Applies to any deep learning training pipeline (VLA / robot foundation models, LLM fine-tuning, diffusion…
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
# Weight Save Layout
## Overview
Standardized rules for training-side output directories. The top level is
`{output_root}`: **all contents of the final-step weight folder** go directly
under `{output_root}`; **all contents of each periodic weight folder** go into
`{output_root}/_ckpt/checkpoint_{step}/`.
Checkpoint internals produced by different models/frameworks (weight file
names, configs, statistics, etc.) differ from one another — this layout only
**defines the outer storage location; it does not presuppose the internal
structure and does not rename any files**. Any loader, deployment service, or
evaluation tool built on this layout can locate weights across models.
## Prerequisites
1. **A training script** that saves checkpoints (the code to modify).
2. **`{output_root}`** — the training-side output root directory for the
standard layout (its parent must be writable).
3. **A loader or path resolver** (optional) — if the project consumes
checkpoints, copy `references/loader.py` into the project's
`migrate_to_cloudrobo/loader.py` for locating `{output_root}` and
selecting the latest checkpoint. Loading `.pt` weights with
…Read the whole file at its exact version.
How to install
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-weight-layout@sha256:01f563bacbb6245fThe line at the top of this page pins the label git:20261103.4b75736, 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_yx3w35x2ihppxsih)
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Versions
The registry has recorded 1 version of this file, committed on Nov 3, 2026.
Audit of the latest version
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- 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
huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_yx3w35x2ihppxsih GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-weight-layout GET https://markdownregistry.com/api/v1/blob/01f563bacbb6245fa018e302d4c2c163a082ed0b69032dc5178d78a2d1cc51fd
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.