sam-faces

Face recognition and identity memory for AI assistants. Enroll known people with reference photos, then automatically identify faces in inbound images — with...

Before installing or enabling this skill, consider the following: - Review the sam-faces PyPI project and source code before pip installing (pip packages can run arbitrary code at install and runtime). - Understand where face data will be stored on disk (the SKILL.md references {workspaceDir}/faces/) and ensure that location is acceptable and secured; the skill does not declare or request these paths explicitly. - The skill's inference is local, but it instructs the agent to prepend identified names into LLM prompts (llm_context). If your assistant uses remote LLM APIs, that will transmit personally identifiable information to third parties — disable automatic injection or require explicit user consent per image. - If you need stricter privacy, require explicit user confirmation before identification or enrollment and audit what is being sent to models or external services. - If you proceed, install only on trusted devices, limit filesystem access to a dedicated workspace, and consider legal/privacy implications of storing and processing biometric identifiers in your jurisdiction.

Type: OpenClaw Skill Name: sam-faces Version: 1.1.0 The sam-faces skill provides local face recognition and identity management using a PyPI package. The SKILL.md file contains standard instructions for the AI agent to automatically identify faces in images and manage a local database (people.db) without external API calls. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.