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 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 layer-quality skill from layerai/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
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: 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