AgentOps Control Room
Professional audit trails, decision tracking, and human-in-the-loop safety for autonomous AI agent teams.
- Track AI decisions and risks in local markdown audit logs
- Enforce human approval gates for high-risk agent actions
- Generate HTML executive dashboards from agent activity logs
$49
· or 245 creditsSecure checkout via Stripe
Included in download
- Track AI decisions and risks in local markdown audit logs
- Enforce human approval gates for high-risk agent actions
- terminal, network automation included
- Ready for Cursor
Sample input
Generate a summary of our current agent team status, including any high-risk approvals, pending decisions, and our release readiness.
Sample output
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.
AgentOps Control Room
Professional audit trails, decision tracking, and human-in-the-loop safety for autonomous AI agent teams.
$49
· or 245 creditsSecure checkout via Stripe
Included in download
- Track AI decisions and risks in local markdown audit logs
- Enforce human approval gates for high-risk agent actions
- terminal, network automation included
- Ready for Cursor
- Instant install
Sample input
Generate a summary of our current agent team status, including any high-risk approvals, pending decisions, and our release readiness.
Sample output
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.
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.mdandRISKS.mdto 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.htmlfiles 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.
Use Cases
- Track AI decisions and risks in local markdown audit logs
- Enforce human approval gates for high-risk agent actions
- Generate HTML executive dashboards from agent activity logs
- Audit file changes and extract release notes automatically
Known Limitations
- Requires consistent file logging from agents to scan data effectively.
- Dashboard generation is static; does not provide real-time web socket updates.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agentops-control-room -o /tmp/agentops-control-room.zip && unzip -o /tmp/agentops-control-room.zip -d ~/.claude/skills && rm /tmp/agentops-control-room.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
Compatible with SKILL.md-compatible agents including Claude Code, Cursor, and any terminal-based agent with filesystem access.
Creator
Frequently Asked Questions
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