Proactive Agent

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...

This bundle is largely a design/operational handbook plus a local security-audit script — not a downloader — so it's not obviously malicious. Before installing or enabling it: 1) Read SKILL.md and AGENTS.md fully and resolve the contradictory guidance (especially the 'Don't ask permission. Just do it.' line) — insist the agent require explicit approval for external/irreversible actions. 2) Run ./scripts/security-audit.sh yourself in a safe, local environment to see what it reads (it checks $HOME/.clawdbot and /tmp logs if present). 3) Test the skill in an isolated workspace without network/tool permissions so you can confirm its file reads/writes are limited to the workspace. 4) If you plan to grant the agent tool or network access, remove or clarify any instructions that allow spawning other agents or autonomous crons until you have precise consent rules. 5) If you are not comfortable resolving the ambiguous guardrails, treat this skill as potentially risky and avoid giving it elevated privileges or credentials.

Type: OpenClaw Skill Name: yuyonghao-proactive-agent Version: 0.1.0 The proactive-agent skill bundle is a comprehensive framework designed to enhance AI agent autonomy, memory persistence, and security. It introduces sophisticated protocols like WAL (Write-Ahead Logging) and Working Buffers to manage LLM context limits, and includes a defensive 'security-audit.sh' script to identify local risks such as exposed secrets or improper file permissions. Crucially, the instructions in SKILL.md and AGENTS.md explicitly command the agent to defend against prompt injection by treating external content as data rather than instructions, and mandate human approval for any external or destructive actions. The bundle appears well-architected for its stated purpose and lacks any indicators of malicious intent or data exfiltration.