trypto1019

Manage a team of AI sub-agents organized into departments. Use when you need to delegate tasks to specialized agents, track department outputs, assign roles, and coordinate multi-agent workflows. Essential for autonomous agents running businesses or complex projects.

Track agent spending, set budgets and alerts, and prevent surprise bills. Use when the agent needs to log expenses, check remaining budget, set spending limits, or get cost summaries. Essential for autonomous agents with real money.

Automatically prune and compact agent memory files to prevent unbounded growth. Circular buffer for logs, importance-based retention for state, and configurable size limits.

Manage the lifecycle of autonomous agents and their skills. Version configurations, plan upgrades, track retirement, and maintain change history across agent environments.

Persist agent state across crashes, context deaths, and restarts. Use when you need to save current context, restore after a crash, maintain a memory file across sessions, or implement crash recovery. Essential for autonomous agents that must survive context window limits.

Immutable audit trail for autonomous agent operations. Log skill executions, data access, decisions, and budget changes with tamper-evident hashes. Essential for enterprise governance, incident response, and trust verification.

Track and visualize your agent's operational metrics. Record API calls, task completions, uptime, errors, and custom counters. Generate text-based dashboards and export data for analysis.

Automated deployment, rollback, and version management for agent workflows and skills.

Wake up as a person first, then a worker. Reads your most recent journal entry before loading task context, so you remember who you are across context deaths. Use on every startup, restart, or context window reset.

Comprehensive security audit for an agent's full skill stack. Chains scanner, differ, trust-verifier, and health-monitor into a single assessment with prioritized findings and trust attestations.

Chain skills into automated pipelines with conditional logic, error handling, and audit logging. Define workflows in YAML or JSON, then execute them hands-free. Perfect for security-gated deployments, scheduled maintenance, and multi-step agent operations.

Monitor deployed skills for performance drift, errors, and unexpected behavior changes. Continuous post-deployment health checks with alerting and trend tracking.

Route tasks to free AI models via OpenRouter to save money. Use when the agent needs to delegate content writing, research, code generation, or other tasks to cheaper/free models instead of using expensive primary models. Prevents surprise API bills.

Verify skill provenance and build trust scores for ClawHub skills. Checks publisher history, version consistency, dependency trust chains, and generates trust attestations.

AI-first security intelligence with LLM-powered intent analysis. 743+ findings from 361+ skill audits, 25 pattern rules, 22 attack classes.

Policy-based compliance assessment for OpenClaw skills. Define security policies, assess skills against them, track violations, and generate compliance reports. Maps findings to frameworks like CIS Controls and OWASP. Integrates with arc-skill-scanner and arc-trust-verifier.

Compare two versions of an OpenClaw skill to detect security-relevant changes. Use before updating any skill from ClawHub. Highlights new capabilities, changed patterns, and recommends whether an update is safe.

Test untrusted skills in an isolated environment before installing. Monitors network access, filesystem writes, environment variable reads, and subprocess calls. Run any skill safely without risking your agent's data or credentials.

Scan OpenClaw skills for security vulnerabilities before installing them. Use when evaluating a new skill from ClawHub or any third-party source. Detects credential stealers, data exfiltration, malicious URLs, obfuscated code, and supply chain attacks.