Relive

AI digital twin cloning skill. Re:live — chat again with someone you love. Input chat logs, images, audio, and other materials to replicate a person's person...

This package implements a plausible 'digital twin' workflow, but there are several things to check before installing or using it: - Credentials and external services: The code will call external APIs if keys are present (OpenAI via OPENAI_API_KEY, Volcengine/Ark via ARK_API_KEY, and it will download models from HuggingFace/Modelscope). The skill metadata does not declare these env vars — verify and only supply keys you trust and intend to use. - Data privacy: You will be asked to upload chat logs, reference audio, and transcripts (highly sensitive personal data). These files are persisted under the skill's storage directory and may be sent to external services if API keys are configured. Don’t provide private data unless you accept that it may be stored locally and potentially transmitted. - Workspace modification: The runtime expects you to add characters to USER.md in the workspace root. That modifies a global file used by the agent; if you want to avoid this, consider keeping copies or isolating the skill in a sandboxed workspace. - Third‑party code and large models: The README asks you to git clone CosyVoice and download large models (HuggingFace/Modelscope). Run these steps only in an isolated virtual environment or sandbox machine and inspect the cloned code before executing. - Run safely: Use a dedicated virtualenv and, if possible, an isolated VM/container; review requirements.txt before pip installing; avoid adding API keys unless necessary; and test with non-sensitive dummy data first. If you need more assurance, ask the skill author for an explicit list of required env vars and a justification for USER.md modifications.

Type: OpenClaw Skill Name: relive Version: 0.1.0 The 'relive' skill is a legitimate multimodal AI digital twin implementation that uses RAG (BM25), voice synthesis (CosyVoice3), and video generation (Volcengine API). The code logic in 'main.py' and 'core/orchestrator.py' is well-structured and strictly follows the stated purpose of creating and interacting with digital clones. While the 'SKILL.md' file suggests modifying platform-level timeout settings in 'npm/node_modules' to accommodate long-running voice synthesis, the skill itself lacks the tools to perform such modifications automatically, and the behavior is documented as a troubleshooting step for the user. No evidence of data exfiltration, unauthorized persistence, or malicious prompt injection was found.