Speechall command-line tool for fast speech-to-text transcription using multiple providers

Install and use the speechall CLI tool for speech-to-text transcription. Use when the user wants to: (1) transcribe audio or video files to text, (2) install speechall on macOS or Linux, (3) list available STT models and their capabilities, (4) use speaker diarization, subtitles, or other transcription features from the terminal. Triggers on mentions of speechall, audio transcription CLI, or speech-to-text from the command line.

Things to check before installing or using this skill: - The SKILL.md expects you to provide SPEECHALL_API_KEY, but the skill metadata doesn't list any required credential — treat that as an omission and assume the API key is required. Confirm where you will get the key (speechall.com) and whether you trust that service. - Verify the Homebrew tap and GitHub release URLs referenced in the instructions (Speechall/tap and github.com/Speechall/speechall-cli) before running brew install or downloading binaries. Prefer officially signed releases. - Because the skill communicates with an external transcription service, be cautious about uploading sensitive audio. Review the Speechall service's privacy, retention, and billing policies before sending private data. - Ask the skill publisher to update the registry metadata to declare SPEECHALL_API_KEY as a required credential and to provide a homepage/source link. If you must proceed, create a scoped API key with minimal permissions and be prepared to rotate it if you stop using the service. - If you want higher assurance, test the CLI in an isolated environment (VM or sandbox) and inspect network activity when you first run it.

Type: OpenClaw Skill Name: speechall-cli Version: 0.1.1 The skill bundle is benign. It provides instructions for installing and using the `speechall` CLI tool via standard methods like Homebrew or direct download from GitHub releases. Authentication is handled securely via an environment variable or command-line flag. All commands and options described are directly related to speech-to-text functionality. There is no evidence of data exfiltration, malicious execution, persistence, or prompt injection against the agent for harmful purposes within the `SKILL.md` or `_meta.json` files.