Proactive Ops Monitor

Proactive operations monitoring for OpenClaw agents. Tracks token utilization, memory layer health, and generates alerts. Provides `/health` dashboard and au...

This skill is not obviously malicious, but treat it as 'works-as-advertised only partially'. Before installing or enabling: 1) Confirm expectations — the included script is a CLI utility (run.py) and will not run continuously or automatically prepend suggestions to agent messages unless your agent runtime invokes it on a schedule or provides hooks. 2) Verify alert behavior — the script only appends alerts if memory/ops-alerts.jsonl already exists (it won't create that file); create a file or adjust the script if you expect automatic logging. 3) Review workspace content — the skill reads memory/* files (which can contain sensitive conversation context or secrets); only run it in workspaces where that access is acceptable. 4) If you need continuous monitoring or integrations (session-wrap-up, agent-oversight), ask the author for a service/daemon implementation or for explicit instructions on how the agent should schedule or invoke the tool. 5) Test in a safe workspace first and consider running under a low-privilege agent account. If the author claims features (auto-prepend, always-on monitoring), request evidence (a background process, webhook endpoints, or integration code) before trusting those behaviors.

Type: OpenClaw Skill Name: proactive-ops-monitor Version: 1.0.0 The proactive-ops-monitor skill is a utility for tracking agent performance metrics such as token utilization and memory health. It operates by reading local workspace files (e.g., memory/wal.jsonl and memory/working-buffer.md) to generate reports and suggestions. The code in scripts/run.py contains no network calls, obfuscation, or unauthorized file access, and its behavior is entirely consistent with the functionality described in SKILL.md.