Edge Copy setup link
Skill evidence / layer
Skill profile

layer

Use when generating or editing game and entertainment assets on Layer through MCP: images.

What this skill does for you

Use when generating or editing game and entertainment assets on Layer through MCP: images, video, 3D meshes, audio, sprites, textures, or marketing creative. Also when choosing a Layer base model, pricing a run in Creative Units before spending them, uploading reference files, polling a generation, applying a trained style, or recovering from MODEL_NOT_FOUND, INSUFFICIENT_BALANCE, RATE_LIMITED, or a silently degraded reference set.

Quoted from the skill description in the pinned source

Who made it

Publisherlayerai
Repositoryskills
Installs686as 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 layer skill from layerai/skills.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: be29a95875ca09500900c5ddddcaf4b7c08b6bc6. 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: be29a95875ca09500900c5ddddcaf4b7c08b6bc6. Raw findings: . 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: be29a95875ca09500900c5ddddcaf4b7c08b6bc6. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/layerai/skills
Pinned skill file
View source at revision
Revision
be29a95875ca09500900c5ddddcaf4b7c08b6bc6
Package hash
sha256:c1b550c49741f998b1b1f79f00ec10828c830d7a00b1c69f2d2f15e60f26e6dd
Licence
MIT