huawei-cloud-ascend-models-deploy
Huawei Cloud Ascend model deployment and testing skill for large language models on Ascend DevServer...
What this skill does for you
Huawei Cloud Ascend model deployment and testing skill for large language models on Ascend DevServer (910B series). Supports single-machine and dual-machine deployment for LLM, VL (vision-language), Embedding, and Rerank models. Provides model inference testing, deployment log viewing, and status monitoring with automated model matching and deployment script generation. Use this skill when the user wants to: (1) deploy a model on Ascend DevServer, (2) test model inference, (3) view deployment logs or status, (4) list supported models, (5) check deployment prerequisites. Trigger: deploy, test, model list, deployment log, Ascend, DevServer, 910B, ModelArts, LLM, VL, Embedding, Rerank, multimodal, inference, model catalog, 昇腾, 部署模型, 测试模型, 模型列表, 部署日志, 模型部署, 推理测试
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the huawei-cloud-ascend-models-deploy skill from huaweicloud/huaweicloud-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
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Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: f690d6e85a05ba169fa65a11d4600042e92bfc80. Raw findings: 1. Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: f690d6e85a05ba169fa65a11d4600042e92bfc80. Raw findings: 1. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: f690d6e85a05ba169fa65a11d4600042e92bfc80. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/huaweicloud/huaweicloud-skills
- Pinned skill file
- View source at revision
- Revision
- f690d6e85a05ba169fa65a11d4600042e92bfc80
- Package hash
- sha256:ac790d93c56368415ae3d1da6cd3f181020160c99736dce05d004ce6d5c52123
- Licence
- MIT