openai-tts-python

Text-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio. Supports 6 voices (alloy, echo, fable, onyx, nova, shimmer), speed control (0.25x-4.0x), HD quality model, multiple output formats (mp3, opus, aac, flac), and automatic text chunking for long content (4096 char limit per request). Use when: (1) User requests audio/voice output with triggers like "read this to me", "convert to audio", "generate speech", "text to speech", "tts", "narrate", "speak", or when keywords "openai tts", "voice", "podcast" appear. (2) Content needs to be spoken rather than read (multitasking, accessibility). (3) User wants specific voice preferences like "alloy", "echo", "fable", "onyx", "nova", "shimmer" or speed adjustments.

This package implements a normal OpenAI text-to-speech client and legitimately requires your OPENAI_API_KEY. Before installing or enabling it: (1) confirm the publisher/source (the package lists no homepage and 'Source: unknown'); (2) correct or ask the publisher to correct the registry metadata so the required OPENAI_API_KEY is declared; (3) ensure you are comfortable granting network access to OpenAI and that the key has appropriate billing/usage controls; (4) review the included openai/pydub/ffmpeg install instructions and run in a sandbox if you have doubts; (5) if you plan to deploy broadly, prefer an official or well-audited mirror/repository and verify package versions. The inconsistencies are likely sloppy metadata, not malicious code, but verify source trustworthiness before providing your API key.

Type: OpenClaw Skill Name: openai-tts-python Version: 1.0.1 The skill bundle is designed for text-to-speech conversion using OpenAI's API. All files (code and documentation) consistently align with this stated purpose. The `openai_tts.py` script securely retrieves the `OPENAI_API_KEY` from environment variables, which is standard practice for API authentication, and handles file operations (reading input, writing output, temporary files for audio chunking) appropriately. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts in `SKILL.md` or `README.md` that would lead to unauthorized actions or compromise the agent.