Multi Agent Pipeline

Generic multi-agent content pipeline — sequential and parallel agent stages with status tracking, error recovery, and progress callbacks. Use when building m...

This package contains runnable API routes that call external LLM/TTS/STT services and write to a database, but its metadata omits the required API keys and says outbound networking is disabled. Before installing: (1) do not provide ELEVENLABS_API_KEY or MISTRAL_API_KEY to unknown code without review — confirm why those keys are needed; (2) ask the publisher for an explicit manifest listing required env vars and Python dependencies; (3) inspect the database and prompt_cache modules referenced (they could read/write broader data); (4) run in an isolated environment or container and limit keys to least privilege / scoped test keys; (5) consider requiring the skill author to remove or clearly document concrete external calls if you only wanted a framework. The mismatch between declared metadata and actual code is the primary reason to treat this as suspicious.

Type: OpenClaw Skill Name: multi-agent-pipeline Version: 1.0.1 The skill implements a multi-agent story generation pipeline using FastAPI, Mistral, and ElevenLabs APIs. The code in `scripts/pipeline.py` handles audio transcription, story generation, and text-to-speech narration, using environment variables for API keys and parameter-binding for database queries. While the `SKILL.md` metadata incorrectly flags outbound network access as false, the documentation and code explicitly describe and implement these external API calls for their stated purpose, and no evidence of malicious intent or data exfiltration was found.