huawei-cloud-ascend-profiler-db-explorer SKILL.md skillA

huawei-cloud-ascend-profiler-db-explorer 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-ascend-profiler-db-explorer@git:20260605.96bdc37

Pins git:20260605.96bdc37 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/modelarts/huawei-cloud-ascend-profiler-db-explorer/SKILL.md
Versions recorded
1
Latest version
git:20260605.96bdc37, committed Jun 5, 2026
Size
16,030 bytes
Repository stars
59
License
MIT

Convert natural language questions into safe executable SQL to query Ascend PyTorch Profiler / msprof database for operator time consumption, communication, dispatch, and other performance data. Supports table schema extraction from official documentation. Use this skill when the user wants to: (1) analyze Ascend profiling database, (2) query operator performance data, (3) analyze communication and dispatch bottlenecks, (4) check table schema for profiling data. Trigger: user mentions…

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

# Huawei Cloud Ascend Profiler DB Explorer

## Overview

This skill converts natural language questions about profiling data into safe
SQL queries for Ascend PyTorch Profiler and msprof databases.

**Architecture**: Natural Language Input → Intent Recognition → SQL Generation
→ Database Execution → Result Analysis

**Related Skills**:

- `huawei-cloud-msot-msopprof-operator-profiler` - Operator performance data
  collection
- `huawei-cloud-ascend-small-model-migrate` - Migration workflow that uses
  profiling analysis
- `huawei-cloud-ascendc-operator-performance-optim` - Operator optimization
  workflow

## Architecture Components

This skill involves the following cloud services and components:

- **MSProf**: Ascend profiling tool for data collection and database management
- **SQLite**: Database engine for storing profiling data
- **Ascend NPU**: Target hardware for performance profiling
- **msprof_mcp**: Tool for executing SQL queries on profiling database

**Architecture Diagram:**

```text
┌─────────────────────────────────────────────────────────────┐
│              Profiler DB Explorer Skill                    │
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ascend-profiler-db-explorer@sha256:3c94f9cce3d88e38

The line at the top of this page pins the label git:20260605.96bdc37, 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_wt6xw33aksv7pt25.svg)](https://markdownregistry.com/a/art_wt6xw33aksv7pt25)

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

Versions

The registry has recorded 1 version of this file, committed on Jun 5, 2026.

versioncommittedcommitsizeaudit
git:20260605.96bdc37 latest2026-06-05 96bdc37 16,030 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 (16030 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_wt6xw33aksv7pt25
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-ascend-profiler-db-explorer
GET https://markdownregistry.com/api/v1/blob/3c94f9cce3d88e388c73ae87654debf3779c7f0177fd30ed405bd30c0af7fd2a

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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