Skill profile

metal-gpu

Write, explain, and debug Metal GPU code including shaders (vertex, fragment, compute), render...

What this skill does for you

Write, explain, and debug Metal GPU code including shaders (vertex, fragment, compute), render pipelines, compute pipelines, buffer/texture management, and Metal 4 APIs. Use this skill whenever the user mentions Metal, GPU programming, shaders, MSL (Metal Shading Language), render passes, compute kernels, MTLDevice, MTLCommandBuffer, MTLRenderPipelineState, or any Apple GPU/graphics programming topic. Also trigger when the user wants to do parallel computation on Apple devices, write GPU-accelerated code, or work with Metal Performance Shaders, MetalFX, MetalKit, or Compositor Services. Covers iOS, macOS, iPadOS, tvOS, and visionOS.

Quoted from the skill description in the pinned source

Who made it

Publisherios-agent

Repositoryiosagent.dev

Installs304as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the metal-gpu skill from ios-agent/iosagent.dev.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 55885638c5dfbd8026f63ee89e07f46a715fd420. Raw findings: . 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: 55885638c5dfbd8026f63ee89e07f46a715fd420. 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: 55885638c5dfbd8026f63ee89e07f46a715fd420. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/ios-agent/iosagent.dev
Pinned skill file: View source at revision
Revision: 55885638c5dfbd8026f63ee89e07f46a715fd420
Package hash: sha256:66e08c1b2c6b883f11f9933a581274b75ed347a0db2bc41b29856ab1b3cfb2f6
Licence: MIT