Edge Copy setup link
Skill evidence / layer-quality
Skill profile

layer-quality

Use when judging Layer output before it ships: scoring generated files against a workspace's output...

What this skill does for you

Use when judging Layer output before it ships: scoring generated files against a workspace's output scoring rules, reading back verdicts on a file, reviewing a batch against the brief, or choosing which candidate to deliver. Also when a studio has automated quality standards, or a set must be checked for consistency before handoff. Keywords: quality gate, scoring, review, batch, verdict, approve, QA, consistency check.

Quoted from the skill description in the pinned source

Who made it

Publisherlayerai
Repositoryskills
Installs684as 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-quality 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:fab81aba283e8e677208d31e7c26682436ab8cd3302a20853836986030eac16a
Licence
MIT