kody-w/songsee
typescript/skills/songsee/SKILL.md
Identify songs using audio fingerprinting via Shazam or AudD APIs.
$ install --global
skillsauthnpx skillsauth add kody-w/openrappter songseeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 10:21 AM13.7s1 file scanned
SKILL.md
- name:
- songsee
- description:
- Identify songs using audio fingerprinting via Shazam or AudD APIs.
- metadata:
- {"openclaw":{"emoji":"🎵","requires":{"bins":["curl"]}}}
SongSee
Identify songs from audio samples.
Using AudD API
curl -s -X POST "https://api.audd.io/" \
-F [email protected] \
-F api_token="$AUDD_API_TOKEN" \
-F return="apple_music,spotify" | jq '{title: .result.title, artist: .result.artist}'
From URL
curl -s -X POST "https://api.audd.io/" \
-F url="https://example.com/audio.mp3" \
-F api_token="$AUDD_API_TOKEN" | jq '.result'
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