whisper
Repository: whisper
Author: openai · Source status: Clear source
Score 92Clear source
Robust Speech Recognition via Large-Scale Weak Supervision
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: whisper-multilingual-asr
Author: anujdevsingh·Source status: Clear source
Zero-shot multilingual speech recognition for English, Hindi and Tamil using OpenAI Whisper Large-V3
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Pre-install score
45 · Manual review
One primary score for ranking and pre-install decisions; Evidence completeness 65%.
Risk decision
Review required
metadata-only
Install readiness
script-backed · copy-only command
SkillTrust only shows install guidance and copy actions; it never executes installs.
Before you install
Review source, permissions, and execution risk first, then alternatives. Scores prioritize review; they do not replace manual judgment.
Install guidance
This area handles the execution step: review explicit or inferred tool fit, then decide whether to copy commands.
Explicitly supported
Candidate support (inferred)
Candidate tools are inferred signals, not official compatibility certifications.
Universal
Shown with the common install pattern for this tool.
git clone https://github.com/anujdevsingh/whisper-multilingual-asr.gitReview source and permissions first. If no explicit command is available, start from the repository guidance.
Current risk hints: metadata-only
Audit main stage
This stage turns 15 audit dimensions into one pre-install score; the constellation only explains the gaps instead of becoming a second score.
The purpose is visible, but source, permissions, or install evidence needs checking.
Current advice
Review before install
Review source, permissions, and execution details before copying commands.
Execution profile
High
Check command, file-write, and network behavior first.
Evidence completeness
65%
This shows how much public evidence supports the score; it is not a safety certification.
Start with the overall shape and the weakest three items, then use the list below for full labels, scores, and actions.
Start here
Read the weakest three first, then move into the full 15-item list.
Full 15-dimension list
The default view starts from the lowest scores; switch to risk-first when you want severity before score.
Repository
anujdevsingh/whisper-multilingual-asr
Author
anujdevsingh
Community signal
0 stars · 0 forks
Favorites
0
Last updated
2026-04-13
Primary source
anujdevsingh/whisper-multilingual-asr
Source status
Clear source
Install method
script-backed
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Author: openai · Source status: Clear source
Examples and guides for using the OpenAI API
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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An intelligent financial advisory system showcasing 5 key Gen AI capabilities: Structured Output/JSON Mode, RAG (Retrieval Augmented Generation), Embeddings, Function Calling, and LangGraph Agents.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%