Autonomous Agent

AI Autonomous Agent Framework with self-driven capabilities. Implements perception, judgment, execution, and reflection layers for intelligent autonomous ope...

This skill implements a full autonomous agent that can watch file paths, monitor other skills, collect user interaction and system metrics, and store memories. Before installing or enabling autonomous operation: 1) Review the remaining/truncated source files (especially package_skill.py, any storage backend implementations, and any networking code) for outbound network calls, hardcoded endpoints, or export logic. 2) Check default config (autonomous_config.yaml) to see which file paths and event sources are enabled by default; restrict watch paths to non-sensitive directories. 3) Run the agent first in MANUAL/ASSISTED mode (not fully autonomous) and in a sandboxed environment or VM. 4) Disable or audit persistent backends — prefer in-memory operation until you confirm storage is local and encrypted (or absent). 5) Look for any code that invokes requests/sockets/ssh/ftp or packages and transmits data externally. 6) Do not grant elevated OS permissions or admin-level access until you are satisfied with the code. If you want, provide the remaining truncated files (or package_skill.py and storage-related files) and I can re-evaluate those specific parts — that would raise confidence above the current medium level.

Type: OpenClaw Skill Name: socneo-autonomous-agent Version: 1.0.0 The skill bundle implements a sophisticated 'Autonomous Agent Framework' featuring a four-layer cognitive architecture: Perception, Judgment, Execution, and Reflection. The code provides comprehensive modules for system monitoring (using psutil), task decomposition, risk-based decision making, and a persistent memory system. While there are several implementation bugs where Python path expressions are incorrectly treated as string literals (e.g., in state_awareness.py, event_listener.py, and package_skill.py), the logic is entirely consistent with the stated purpose of creating a self-improving autonomous agent. No evidence of data exfiltration, malicious execution, or unauthorized persistence was found.