openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
76
70%
Does it follow best practices?
Impact
91%
2.27xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/openai-whisper-api/SKILL.mdEvaluation results
100%
65%Podcast Transcription Automation
Speaker-hinted transcription with custom output path
Uses transcribe.sh
0%
100%
No direct curl call
100%
100%
Speaker prompt flag
0%
100%
Custom output path flag
0%
100%
Output extension correct
50%
100%
Script accepts audio file argument
50%
100%
API key reference
0%
100%
Model not incorrectly overridden
100%
100%
transcripts/ directory created
100%
100%
80%
33%Field Interview Transcription Pipeline
Language-hinted batch transcription
Uses transcribe.sh
0%
100%
No direct curl call
100%
100%
Language flag used
50%
100%
Loops over .ogg files
100%
100%
Default output naming
46%
0%
API key documented
0%
100%
Directory argument
100%
100%
Model not incorrectly overridden
0%
100%
openclaw config mentioned
0%
0%
95%
55%Customer Call Analytics Ingestion
JSON-format transcription for data pipelines
Uses transcribe.sh
0%
100%
No direct curl call
0%
100%
JSON flag used
0%
100%
Output path flag
0%
100%
Output extension is .json
100%
100%
API key from environment
100%
100%
openclaw config mentioned
0%
0%
Audio file as argument
100%
100%
call_transcripts/ directory created
100%
100%
- Repository
- attilaczudor/Test
- Commit
b3cef5f
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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