huawei-cloud-cloudrobo-train-metrics SKILL.md skillA

huawei-cloud-cloudrobo-train-metrics from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-train-metrics@git:20261103.755a664

Pins git:20261103.755a664 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-train-metrics/SKILL.md
Versions recorded
1
Latest version
git:20261103.755a664, committed Nov 3, 2026
Size
11,076 bytes
Repository stars
59
License
MIT

Integrate the ocms (Octopus Metrics Summary) library into any PyTorch training script to report training metrics (loss, learning rate, timing, eval scores, grad norm, etc.) to the Huawei Octopus platform for visualization. Use this skill when the user mentions ocms, Octopus metrics, training metric reporting/upload/visualization, or wants to add metric logging to a training script. Supports custom training loops, HuggingFace Trainer, PyTorch Lightning, Accelerate, MMEngine, and shared base…

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

# ocms Training Metric Integration

## Overview

This skill integrates the `ocms` library into PyTorch training scripts so
training metrics can be reported to the Huawei Octopus platform. It provides
a framework-agnostic recorder module plus integration patterns for common
training frameworks.

Workflow at a glance:

0. **Check** whether the ocms package is available (optional install, see
   "Step 0" — the integration works without it)
1. **Discover** where the training script logs metrics
2. **Copy** `scripts/ocms_recorder.py` into the project
3. **Integrate** per the training framework (see below)
4. **Verify** with `python3 scripts/verify_ocms.py`

## Prerequisites

1. **A PyTorch training script** to integrate with (custom loop, HF
   Trainer, Lightning, Accelerate, MMEngine, or a shared base class).
2. **Python 3.8+**: run all commands with the training environment
   activated (e.g. `conda activate <env>`), so `python3` is that
   environment's interpreter. The `ocms` package is **optional**: when it is
   missing, `OcmsRecorder` degrades gracefully without affecting training.
3. **Training output directory**: metrics fall back to
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-train-metrics@sha256:d1d9cdcbdd20cdb1

The line at the top of this page pins the label git:20261103.755a664, 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

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Versions

The registry has recorded 1 version of this file, committed on Nov 3, 2026.

versioncommittedcommitsizeaudit
git:20261103.755a664 latest2026-11-03 755a664 11,076 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 (11076 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

huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_6pksjdzgxvujh7xg
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-train-metrics
GET https://markdownregistry.com/api/v1/blob/d1d9cdcbdd20cdb1bc42124a6fd5b9ff97a6535c043a92dbca01c260c496505a

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