Agent skill · Security

wavecap-transcripts

Check and analyze WaveCap transcriptions. Use when the user wants to inspect transcript quality, find problematic transcriptions, compare original vs corrected text, or audit transcription accuracy.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill wavecap-transcripts --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/wavecap-transcripts/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# WaveCap Transcripts Analysis Skill Use this skill to inspect, analyze, and audit transcription quality in WaveCap. ## Get Transcriptions ### List recent transcriptions for a stream ```bash curl -s "http://localhost:8000/api/streams/{STREAM_ID}/transcriptions?limit=20" | \ jq '.transcriptions[] | {id, timestamp, text, confidence, reviewStatus}' ``` ### Get all transcriptions across streams ```bash curl -s http://localhost:8000/api/transcriptions/export | jq 'length' ``` ### Get transcription with full details ```bash curl -s "http://localhost:8000/api/streams/{STREAM_ID}/transcriptions?limit=100" | \ jq '.transcriptions[] | select(.id == "TRANSCRIPTION_ID")' ``` ## Quality Analysis ### Find low-confidence transcriptions ```bash # Very low confidence (< 0.5) - likely errors curl -s http://localhost:8000/api/transcriptions/export | \ jq '[.[] | select(.confidence != null and .confidence < 0.5)] | sort_by(.confidence) | .[:20] | .[] | {id, streamId, confidence, text}' # Medium-low confidence (0.5 - 0.7) - may need review curl -s http://localhost:8000/api/transcriptions/export | \ jq '[.[] | select(.confidence != null and .confidence >= 0.5 and .confidence < 0.7)] | length' ``` ### Fi

What's inside
Steps it walks through
  1. Get Transcriptions
  2. List recent transcriptions for a stream
  3. Get all transcriptions across streams
  4. Get transcription with full details
  5. Quality Analysis
  6. Find low-confidence transcriptions
  7. Find very short transcriptions (might be noise)
  8. Find transcriptions with common error patterns
  9. Analyze confidence distribution
  10. Compare Original vs Corrected
  11. List corrected transcriptions
  12. Show diff between original and corrected
  13. Calculate correction rate
  14. Review Status Audit
Ships with 1 file
  • metadata.json
Commands it runs
curl -s "http://localhost:8000/api/streams/{STREAM_ID}/transcriptions?limit=20" | \
jq '.transcriptions[] | {id, timestamp, text, confidence, reviewStatus}'
curl -s http://localhost:8000/api/transcriptions/export | jq 'length'
curl -s "http://localhost:8000/api/streams/{STREAM_ID}/transcriptions?limit=100" | \
jq '.transcriptions[] | select(.id == "TRANSCRIPTION_ID")'
Very low confidence (< 0.5) - likely errors
curl -s http://localhost:8000/api/transcriptions/export | \
jq '[.[] | select(.confidence != null and .confidence < 0.5)] | sort_by(.confidence) | .[:20] | .[] | {id, streamId, confidence, text}'
Medium-low confidence (0.5 - 0.7) - may need review
jq '[.[] | select(.confidence != null and .confidence >= 0.5 and .confidence < 0.7)] | length'
More from claude-skill-registry
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About this skill
What does the wavecap-transcripts skill do?

Check and analyze WaveCap transcriptions. Use when the user wants to inspect transcript quality, find problematic transcriptions, compare original vs corrected text, or audit transcription accuracy.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill wavecap-transcripts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going