azure-text-to-speech
azure-text-to-speech is an NLP, speech & audio ML skill for AI agents, published by calesthio in the OpenMontage repository on GitHub. Skillspace rates azure-text-to-speech C (70/100) and it passed the safety scan; a judge model has also reviewed it.
Generate neural narration audio using Azure AI Speech (REST text-to-speech). Use when synthesizing voiceovers or narration in OpenMontage. Optional cloud TTS provider — preferred when AZURE_SPEECH_KEY is configured; the local piper_tts remains the default offline path. Shares one Speech resource with azure_stt.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 58,214
Placed #3 of 6 in the judged category final for NLP, speech & audio ML.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for NLP, speech & audio ML.
- Trigger
88 88 - Instructions
90 90 - Specificity
92 92 - Safety
92 92 - Disclosure
75 75 - Maintenance
58 58
Mirrors its STT sibling's quality with precise voice and parameter guidance plus real cost figures, but shows no versioning or tests.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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