local-transcript
local-transcript is an NLP, speech & audio ML skill for AI agents, published by johnqtcg in the awesome-skills repository on GitHub. Skillspace rates local-transcript C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Transcribe a specified local video or audio file into cleaned final `.txt`, `.pdf`, or `.docx` transcripts using speech recognition with Apple Silicon GPU acceleration and LLM-based proofreading. Use when the user wants text extracted from a local media file path such as `.mp4`, `.mov`, `.mkv`, `.webm`, `.mp3`, `.m4a`, or `.wav`, and the output language should follow the spoken language in the media automatically. Prefer this skill for local-file transcription workflows that should produce cleaned transcripts with natural paragraphs, LLM-corrected Chinese text, and simplified Chinese output for Chinese speech.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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