Real Skill packageSource verifiedClawHub registry

huawei-cloud-ascendc-operator-performance-optim

Develop and optimize custom operators using AscendC programming language. Analyze operator performance bottlenecks and conduct optimization validation. Based on AscendC and CANN toolkit Use this skill when the user wants to: (1) optimize performance-critical operators on Ascend NPU, (2) develop custom operators for specific workloads, (3) improve model inference performance through operator optimization Trigger: user mentions "AscendC", "operator optimization", "custom operator", "performance", "NPU optimization",…

Identity and source

Publisher attributionhuaweicloudskillregistry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 55% rule confidence
Package forminstruction with code22 recorded files
Canonical sourceClawHub registryclawhub:huaweicloudskill:huawei-cloud-ascendc-operator-performance-optim
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Platform declarations

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OpenClawnative officialProvenance: registry distribution

Independent structural checks

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Claude Codeissues found
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/23/2026.claude/skills/huawei-cloud-ascendc-operator-performance-optim
1 structural issue
  • error: compatibility must be a string of at most 500 characters. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexissues found
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/23/2026.agents/skills/huawei-cloud-ascendc-operator-performance-optim
2 structural issues
  • error: compatibility must be a string of at most 500 characters. SKILL.md
  • warning: Codex portability follows Agent Skills, where allowed-tools is a space-separated string. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawissues found
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/23/2026skills/huawei-cloud-ascendc-operator-performance-optim
2 structural issues
  • error: compatibility must be a string of at most 500 characters. SKILL.md
  • warning: OpenClaw portability follows Agent Skills, where allowed-tools is a space-separated string. SKILL.md

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

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clawhub install @huaweicloudskill/huawei-cloud-ascendc-operator-performance-optim
clawhub inspect @huaweicloudskill/huawei-cloud-ascendc-operator-performance-optim --version 1.0.1

Security evidence

SkillVetAI static result: medium signal

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Status
completed
Coverage
full text content
Files
22 / 22 inspected as text
Checked
9/23/2026, 1:28:05 PM
Scanner
0.1.3
Policy
1.0.3
2 automated findings
mediumWorld-writable permissions are requestedreferences/troubleshooting.md:97 · confidence 95%chmod 777
mediumWorld-writable permissions are requestedskill-card.md:35 · confidence 95%chmod 777
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: suspicious

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Evidence checked
9/21/2026, 6:53:47 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:af7aad31089b61d22dc8e02fef30a8e64c23152ec66f2116edfbbf1cbf680278
Show up to 22 recorded paths
  • references/acceptance-criteria.md
  • references/api-usage-prof.md
  • references/ascendc-api/basic-data-structures-api.md
  • references/ascendc-api/data-copy-api.md
  • references/ascendc-api/GUIDE.md
  • references/ascendc-api/kernel-constraints.md
  • references/ascendc-api/resource-management-api.md
  • references/ascendc-api/sync-control-api.md
  • references/ascendc-api/vector-compute-api.md
  • references/data-copy-prof.md
  • references/memory-prof.md
  • references/pipeline-prof.md
  • references/scalar-prof.md
  • references/tiling-prof.md
  • references/troubleshooting.md
  • references/verification-method.md
  • scripts/e2e_compare.sh
  • scripts/e2e_compile_run.sh
  • scripts/e2e_profile_onboard.sh
  • scripts/e2e_profile_simulator.sh
  • skill-card.md
  • SKILL.md

Source changelog

- Initial release of the Huawei Cloud AscendC Operator Performance Optimization skill. - Provides a complete workflow for developing and optimizing custom operators on Ascend NPU using AscendC. - Includes architecture overview, typical use cases, input/output specifications, and validation methods. - Documents best practices for memory, compute, and data layout optimization. - Offers troubleshooting tips and references for acceptance criteria and verification.