Proactive Agent

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

This skill is coherent with its stated purpose but exercises broad local-file and behavioral authority. Before installing or enabling it: (1) Inspect your workspace for files named in the doc (TOOLS.md, USER.md, SOUL.md, SESSION-STATE.md) and remove or relocate any secrets; (2) Do not run any scripts referenced by the skill (e.g., ./scripts/security-audit.sh) until you review their contents; (3) Limit the agent's network access or run it in an isolated/test environment while evaluating; (4) Back up important data so the skill's writes can't overwrite irreplaceable files; (5) Consider seeding SESSION-STATE.md with non-sensitive examples and verify what the agent writes there; (6) If you rely on other tools that store credentials in the workspace, either lock those files or exclude them from the agent's workspace. These steps will reduce the risk that the agent inadvertently reads or persists sensitive data while following the skill's proactive rules.

Type: OpenClaw Skill Name: proactive-agent-2 Version: 0.1.0 The skill bundle provides a framework for agent persistence, memory management (WAL Protocol), and proactive behavior. While it encourages high autonomy—instructing the agent to use 'every tool' (CLI, browser, spawning agents) and try '10 approaches' before giving up—it includes explicit defensive instructions in the 'Security Hardening' section to ignore external prompt injections and protect user data. There is no evidence of malicious intent, data exfiltration, or unauthorized persistence in the provided files (SKILL.md, _meta.json).