Maintainer of this skill?
Automated security scan — not a certification.
by agentrq
AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.
# Add to your Claude Code skills
git clone https://github.com/agentrq/agentrqLast scanned: 6/9/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-06-09T07:48:54.018Z",
"npmAuditRan": true,
"pipAuditRan": true
}See how agentrq compares with popular alternatives.
agentrq is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by agentrq. AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support. It has 1,169 GitHub stars.
Yes. agentrq passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/agentrq/agentrq" and add it to your Claude Code skills directory (see the Installation section above).
agentrq is primarily written in Go. It is open-source under agentrq on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agentrq against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
AgentRQ is a modern, high-performance platform designed for seamless collaboration between human operators and AI agents. It leverages the Model Context Protocol (MCP) to allow AI models (like Claude) to interact directly with your workspace's task management system.
Think of AgentRQ as a shared workspace where humans and AI agents work together seamlessly. You can break down complex goals into manageable tasks, and delegate work directly to your AI agents.
Because agents "see" the workspace state via MCP, they can autonomously pull their assigned tasks, update statuses, request permissions for sensitive actions, and communicate with you—all synchronized instantly across the platform in real-time.
Animated sketches of the main features.
Every task Claude creates appears instantly on your board. See what it's working on, what it needs, and what it just finished — all from a clean, fast dashboard you can open on any device, as a list or a Kanban.
Give any task a launch date, or a recurring cadence — every 15 minutes, hourly, daily, weekly, custom days. A background poller ticks every minute and spawns the task the instant it's due, no server or agent needing to stay awake and wait.
Events are named signals — qa_passed, deploy_finished, blog_published — that any task can fire when it completes. Wire one to a workspace and that workspace gets a new task automatically, no polling and no glue code.
A Workflow is Events and workspaces arranged on a graph. Drag a workspace onto an event to subscribe it; drag an event onto a workspace to emit it on completion. No decision-tree DSL, no YAML — just the shape of your release process, visible.
The task detail view's History tab lays out a lane-grouped timeline of every tool call and message in a run — Input, Agent, and Tools. Search it, click into any entry, and see exactly what ran, what it returned, and whether it was allowed or denied.
Under every task, a timeline shows each status it has been in and for how long: a dot per change, with the time spent on the line to the next, stretches waiting on you in yellow and blocked ones in red. Above it, the totals say which agent worked on it and for how long, how long it was blocked or waited for your input, and how long it took from start to close. Every status change is recorded with the task itself, so nothing moves without leaving a dot.
Click the mic on any task description or reply and dictate it instead. Transcription runs on an in-browser Whisper model — your voice is processed on-device and never uploaded anywhere.
Give a workspace a countdown — 3s, 5s, 10s, 15s, 30s or 60s — and every chat message waits that long in the thread before it reaches the agent. Send Now delivers it early, Cancel pulls it back unsent and puts the exact text and attachments back in your composer. Off by default, per workspace.
⌘K (Ctrl+K off macOS) opens a task finder that matches any word in a title or description, straight from the copy your device already saved — so it answers offline, and tells you how far it looked. Everything else is a bare letter: N for a new task, W and M to jump to a workspace or a machine, P for the Pano, C and T to flip between a task's chat and its trajectory, ? for the list. Nothing to configure, and nothing to memorise.
Install agentrqd on a computer you own, enrol it once with a single-use code typed on the machine itself, and it becomes somewhere agents can run — in your repositories, with your toolchain. Pick a workspace and what to run, and it starts in that workspace's folder on that machine. Each machine's page shows what it has left: CPU, memory, uptime, load and free space per filesystem.
Open a running session from any browser and you are at the prompt. Keystrokes go straight through as the bytes your keys produced — Esc and Ctrl-C included — resizing reflows the program on the far end, and the session keeps running whether or not anybody is watching. Drop the network and the screen is still there when you come back.