huawei-cloud-ascend-op-mfu-calculator SKILL.md skillA
huawei-cloud-ascend-op-mfu-calculator 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-ascend-op-mfu-calculator@git:20260605.d128959Pins git:20260605.d128959 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-op-mfu-calculator/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260605.d128959, committed Jun 5, 2026
- Size
- 3,661 bytes
- Repository stars
- 59
- License
- MIT
Calculate MFU (Machine FLOP Utilization) for operators like matmul/GEMM/FlashAttention on Ascend NPU, providing clear formulas and derivation process Use this skill when the user wants to: (1) calculate MFU for matrix operations, (2) analyze operator performance efficiency, (3) understand hardware utilization, (4) optimize operator implementation Trigger: user mentions "MFU", "machine flop utilization", "operator FLOPs", "matmul performance", "GEMM efficiency", "Ascend MFU", "算子MFU", "算力利用率…
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 Operator MFU Calculator ## Overview This skill calculates MFU (Machine FLOP Utilization) for operators like matmul/GEMM/FlashAttention on Ascend NPU, providing clear formulas and derivation process. **Architecture**: Input Validation → FLOPs Calculation → Achieved TFLOPs/s → MFU Calculation → Result Analysis **Related Skills**: - `huawei-cloud-ascend-profiler-db-explorer` - Profiling data analysis for operator performance data ## Prerequisites 1. Python 3.8+ installed 2. Basic understanding of FLOPs calculation concepts ## Usage Scenarios **Typical Problem Scenarios**: - Evaluating how well an operator utilizes Ascend NPU compute power - Comparing performance of different operator implementations - Identifying optimization opportunities for matrix operations **Typical User Utterances**: - "Calculate MFU for my GEMM operator" - "What's the machine FLOP utilization for FlashAttention?" - "Analyze my matmul operator performance efficiency" ## Workflow 1. **Input Collection**: Gather operator parameters (matrix dimensions, data types, execution time) 2. **FLOPs Calculation**: Compute theoretical FLOPs for the operation …
Read the whole file at its exact version.
How to install
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ascend-op-mfu-calculator@sha256:b395d703d9e03547The line at the top of this page pins the label git:20260605.d128959, 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_gwhkuysfiqu4x23n)
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Versions
The registry has recorded 1 version of this file, committed on Jun 5, 2026.
Audit of the latest version
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- pass: Size between 200 bytes and 200 KB (3661 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
huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_gwhkuysfiqu4x23n GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-ascend-op-mfu-calculator GET https://markdownregistry.com/api/v1/blob/b395d703d9e0354752e5907d0ca22dd5d6b41de08d9f275e8369a20b26ea70d1
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.