AgentOps Control Room

    by karim hammoumi

    2

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

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

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

    Your agent does

    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.

    What you get

    Track AI decisions and risks in local markdown audit logsEnforce human approval gates for high-risk agent actionsGenerate HTML executive dashboards from agent activity logsAudit file changes and extract release notes automatically

    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.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Trust & safety

    Security scanned

    Verified clean 2 months ago

    Listed2 months ago

    Creator

    karim hammoumi
    karim hammoumi

    9 skills on Agensi

    Frequently Asked Questions

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