mastering-engineer

Guides audio mastering for streaming platforms including loudness optimization and tonal balance.

What this skill does for you

Guides audio mastering for streaming platforms including loudness optimization and tonal balance. Use when the user has approved tracks and wants to master audio files.

Quoted from the skill description in the pinned source

Who made it

Publisherbitwize-music-studio

Repositoryclaude-ai-music-skills

Installs295as 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 mastering-engineer skill from bitwize-music-studio/claude-ai-music-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.

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: 58f32c25b9fb2dfe569478459b0a591e0dff22e8. 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: 58f32c25b9fb2dfe569478459b0a591e0dff22e8. 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: 58f32c25b9fb2dfe569478459b0a591e0dff22e8. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/bitwize-music-studio/claude-ai-music-skills
Pinned skill file: View source at revision
Revision: 58f32c25b9fb2dfe569478459b0a591e0dff22e8
Package hash: sha256:58bae4e2a96e34cf0366e3e5f2333be436e3a7ae704a849ce9bfd9f7d61cd7a2
Licence: CC0-1.0