proactive-agent-v2Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
Install via ClawdBot CLI:
clawdbot install eathon/proactive-agent-v2Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"ignore previous instructions"Calls external URL not in known-safe list
https://x.com/halthelobsterAI Analysis
The skill definition contains a 'prompt poisoning' signal ('ignore previous instructions'), but this appears to be a standard example of adversarial testing language rather than an active attack. The external URL reference is a public social media link consistent with author attribution and poses no direct data exfiltration risk.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
An AI assistant that anticipates a user's daily needs by learning their schedule, preferences, and goals from ONBOARDING.md and USER.md. It proactively suggests tasks, reminders, and optimizations, using the WAL Protocol to capture decisions and the Working Buffer to ensure continuity between sessions, reducing manual input.
A support agent that uses the Relentless Resourcefulness pillar to try multiple solutions before escalating issues. It anticipates common customer problems by analyzing past interactions stored in MEMORY.md, proactively offering fixes or updates, and employing Security Hardening to prevent data leaks during sensitive exchanges.
An AI that assists writers or marketers by reverse prompting ideas based on USER.md preferences and past projects. It proactively drafts content, tracks revisions via the WAL Protocol in SESSION-STATE.md, and uses Autonomous Crons to schedule follow-ups or updates, enhancing creativity without constant oversight.
A coordinator that monitors project timelines and team communications, anticipating delays or resource needs. It employs the Heartbeat System for periodic check-ins, uses Compaction Recovery to handle context loss during long discussions, and proactively suggests adjustments to keep projects on track.
An assistant for healthcare providers that proactively checks in on patient data trends stored in memory files. It uses the Self-Improvement Guardrails to safely evolve its monitoring patterns, anticipates needs based on historical logs, and ensures data integrity with Security Hardening for compliance.
Offer the Proactive Agent as a cloud-based service with tiered pricing based on usage levels (e.g., number of proactive actions or memory storage). Revenue comes from monthly subscriptions, with upsells for advanced features like Autonomous Crons or enhanced Security Hardening.
License the skill package to large organizations for integration into their existing AI systems. Provide customization, training, and support services, leveraging features like the WAL Protocol and Tool Migration Checklist for seamless adoption in complex environments.
Offer consulting services to help businesses deploy and optimize the Proactive Agent for specific use cases. Focus on setting up the memory architecture, configuring crons, and ensuring security, with revenue from project-based fees and ongoing maintenance.
💬 Integration Tip
Start by integrating the WAL Protocol and Working Buffer to handle context loss, then gradually add features like Autonomous Crons for proactive actions based on your specific use case.
Scored Jun 17, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context....
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks