Edge Copy setup link
Skill evidence / audio-voice-recovery
Skill profile

audio-voice-recovery

Audio forensics and voice recovery guidelines for CSI-level audio analysis.

What this skill does for you

Audio forensics and voice recovery guidelines for CSI-level audio analysis. This skill should be used when recovering voice from low-quality or low-volume audio, enhancing degraded recordings, performing forensic audio analysis, or transcribing difficult audio. Triggers on tasks involving audio enhancement, noise reduction, voice isolation, forensic authentication, or audio transcription.

Quoted from the skill description in the pinned source

Who made it

Publisherpproenca
Repositorydot-skills
Installs300as 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 audio-voice-recovery skill from pproenca/dot-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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: 1. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: 15. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/pproenca/dot-skills
Pinned skill file
View source at revision
Revision
cf93c57cac89d6fc3e4194686000411567f5caf3
Package hash
sha256:856220a4e8ebe9b54a1a3c0c677d31f33f2d2e3b723b9cf5df815f76ac64690d
Licence
MIT