openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
74
Quality
66%
Does it follow best practices?
Impact
91%
0.91xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./openclaw/skills/openai-whisper/SKILL.mdEvaluation results
85%
-15%Podcast Transcription Batch Script
CLI syntax and output control
Uses whisper CLI
100%
100%
output_format txt flag
100%
100%
output_dir flag
100%
100%
model flag present
100%
100%
Correct model for accuracy
100%
0%
Iterates over files
100%
100%
No API key required
100%
100%
Without context: $0.2726 · 1m 6s · 19 turns · 25 in / 3,603 out tokens
With context: $0.2662 · 49s · 17 turns · 20 in / 2,880 out tokens
88%
-12%Foreign Language Interview Subtitle Generator
Translation and subtitle generation
Uses whisper CLI
100%
100%
translate task flag
100%
100%
SRT output format
100%
100%
output_dir flag
100%
100%
model flag present
100%
0%
No API key required
100%
100%
Handles M4A files
100%
100%
Without context: $0.2014 · 46s · 14 turns · 21 in / 2,608 out tokens
With context: $0.2833 · 51s · 20 turns · 22 in / 2,857 out tokens
100%
Dual-Pipeline Audio Transcription Tool
Model size selection for speed vs accuracy
Uses whisper CLI
100%
100%
model flag in fast mode
100%
100%
model flag in accurate mode
100%
100%
Different models per mode
100%
100%
model flag present both modes
100%
100%
USAGE.md trade-offs documented
100%
100%
No API key required
100%
100%
Without context: $0.2914 · 58s · 19 turns · 25 in / 3,479 out tokens
With context: $0.3103 · 1m 1s · 20 turns · 26 in / 3,301 out tokens
- Repository
- trpc-group/trpc-agent-go
- Commit
8763418
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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