Automates context monitoring by summarizing history, saving to long-term memory, and sending QQ alerts when session message or token limits approach threshold.

This skill is suspiciously inconsistent rather than obviously malicious. Before installing or enabling it: 1) Ask the author (or check upstream) which binaries and Python packages are required (openclaw CLI, taskflow) and provide an install/dependency spec. 2) Confirm how QQ alerts are authenticated — the skill mentions a qqbot-channel but no credentials or token env vars are declared. 3) Review and test the bundled scripts in a sandbox: guardian.py runs subprocesses and writes to ~/.openclaw/workspace/memory; taskflow_executor uses a hardcoded tilde path that likely won't expand and may be buggy. 4) If you plan to allow autonomous runs, ensure you trust the code (it will read session_status output and append files in your home). If the author cannot justify the missing dependency declarations and credentials, treat the skill as untrusted.

Type: OpenClaw Skill Name: context-guardian-pro Version: 1.0.0 The skill bundle is designed to monitor LLM session token usage and automate summarization to prevent context limit errors. The code in scripts/guardian.py and scripts/taskflow_executor.py performs legitimate operations such as checking session status via the 'openclaw' CLI and writing summaries to a local memory directory, with no evidence of data exfiltration, malicious execution, or prompt injection.