AgentOps Control Room

    2

    Professional audit trails, decision tracking, and human-in-the-loop safety for autonomous AI agent teams.

    $49

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    Converts to your local currency at checkout

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    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    AgentOps Control Room

    Example session with this skill installed

    Generate a summary of our current agent team status, including any high-risk approvals, pending decisions, and our release readiness.

    • Read your context and instructions
    • Compiled the agentops control room

    TEAM STATUS: 4 ACTIVE AGENTS
    Pending Approvals: [high-risk] Refactor database schema (ID: 0x42)
    Pending Decisions: Migration from Axios to Fetch
    Detected Risks: 2 potential circular dependencies in /src
    Release Report: 12 files changed, 4 features ready for deployment.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Transform AI Agents into a Managed Workforce

    The AgentOps Control Room is a local-first management layer that bridges the gap between autonomous AI agents and professional engineering standards. It solves the "black box" problem of AI development by providing a structured audit trail of every task, file change, and decision made by your agentic team.

    What it does

    This skill enables your AI agent to self-document its progress and maintain a rigorous operational cockpit. It automatically extracts decisions, flags risks, and organizes file changes into human-readable reports without ever sending data to external servers. It includes a comprehensive command suite for scanning logs and generating status dashboards.

    Why use this skill

    • Auditability: Automatically maintain DECISIONS.md and RISKS.md to understand why the AI made specific choices.
    • Safety First: Operates under a read-only default and local-only execution model—no API keys or data leakage.
    • Human-in-the-Loop: Formalizes the approval process for destructive actions, ensuring agents don't go rogue.
    • Professional Reporting: Generates polished AGENTOPS_DASHBOARD.html files and release reports suitable for stakeholders.

    Supported Workflows

    Integrates seamlessly with local development environments, CLI tools, and any AI agent framework that interacts with local filesystems.

    • Requires consistent file logging from agents to scan data effectively.
    • Dashboard generation is static; does not provide real-time web socket updates.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Trust & safety

    Security scan

    Security scan passed 16 days ago

    Software
    Python

    Permissions

    Terminal / Shell
    Network Access
    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill provides a structured management layer that documents every decision, risk, and file change made by your AI agents, turning 'black box' operations into transparent, human-readable audit trails.

    The Control Room is designed to be agent-agnostic; it works with any AI agent or framework that has access to local files and CLI tools, including AutoGPT, OpenDevin, or custom-built agents.

    This skill prioritizes security through a local-first architecture where no data is sent to external servers, and it enforces a read-only default for safety during the audit process.

    You receive the full suite of AgentOps command tools, specialized templates for decision and risk tracking (DECISIONS.md/RISKS.md), and the automated HTML dashboard generator.

    Setup is minimal; once the skill is added to your agent's environment, it can immediately begin scanning logs and generating reports using its built-in command suite.

    Yes, the dashboard generator creates a self-contained AGENTOPS_DASHBOARD.html file that can be opened in any browser to show stakeholders a professional summary of agent progress and decisions.

    New in Agents & Orchestration