Skillget

AgileFlow

skill
Security Audit
Warn
Health Warn
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Pass
  • Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This tool provides an AI-driven agile project management framework, combining Scrum, Kanban, and docs-as-code principles directly into AI-powered coding environments like Claude Code, Cursor, and Windsurf.

Security Assessment
The automated code scan of 12 files found no dangerous patterns, hardcoded secrets, or requests for excessive permissions. However, the recommended installation method relies on `npx agileflow@latest setup`, which inherently executes remote shell scripts. While the core files scanned appear safe, any `npx` execution carries a base level of supply-chain risk. Given the MDX language type, the tool primarily writes markdown and configuration files to your local environment rather than accessing highly sensitive system data. Overall risk is rated as Low to Medium (Low for the code itself, Medium due to the generic risks of remote script execution).

Quality Assessment
The project is actively maintained, with its last push occurring today. It utilizes the standard, permissive MIT license. The main drawback is its extremely low community visibility. Having only 7 GitHub stars indicates that the tool has not been broadly peer-reviewed or battle-tested by a large developer community. Consequently, community trust is currently very low.

Verdict
Use with caution—while the scanned code is clean and actively maintained, the lack of community adoption means it has undergone minimal independent security scrutiny, so you should carefully inspect the setup script before running it.
SUMMARY

AI-driven agile development for Claude Code, Cursor, Windsurf, and more. Combining Scrum, Kanban, ADRs, and docs-as-code principles into one framework-agnostic system.

README.md

AgileFlow

npm version
Commands
Agents/Experts
Skills

AI-driven agile development for Claude Code, Cursor, Windsurf, OpenAI Codex, and more. Combining Scrum, Kanban, ADRs, and docs-as-code principles into one framework-agnostic system.

Quick Start

npx agileflow@latest setup

The npx command always fetches the latest version.

Updates: npx agileflow@latest update

/agileflow:help              # View all commands
/agileflow:babysit           # Interactive mentor for implementation
/agileflow:configure         # Configure hooks, status line, etc.

Supported IDEs

IDE Status Config Location
Claude Code Supported .claude/commands/agileflow/
Cursor Supported .cursor/commands/agileflow/
Windsurf Supported .windsurf/workflows/agileflow/
OpenAI Codex Supported .codex/skills/ and ~/.codex/prompts/

Why AgileFlow?

Traditional project management tools create friction between planning and execution. AgileFlow eliminates this gap by embedding project management directly into your AI-assisted coding workflow.

  • No context switching - Manage epics, stories, and status without leaving your terminal
  • AI-native workflows - Purpose-built for Claude Code's capabilities
  • Docs-as-code - All project artifacts live in your repository as plain text
  • Intelligent agents - 55 specialized AI agents for different domains
  • Framework-agnostic - Works with any tech stack

Core Components

Component Count Description
Commands 155 Slash commands for agile workflows
Agents/Experts 149 Specialized agents with self-improving knowledge bases
Skills Dynamic Browse and install from skills.sh marketplace via /agileflow:skill:recommend

Features

Feature Description Docs
Agent Expertise Self-improving agents that maintain domain knowledge Learn more
Agent Teams Multi-domain expert coordination with quality gates Learn more
Skills System Browse and install skills from the skills.sh marketplace Learn more
Parallel Sessions Isolated workspaces with boundary protection Learn more
Loop Mode Autonomous story execution until epic completion Learn more
AI Council Three-perspective strategic decision analysis Learn more
Logic Audit Multi-agent logic bug detection with consensus voting Learn more
Damage Control Block destructive commands with PreToolUse hooks Learn more
Smart Detection Contextual feature recommendations with 42 detectors Learn more
Visual Mode Screenshot verification for UI development Learn more
Context Preservation Preserve state during automatic context compaction Learn more
Research Pipeline Structured research workflow with synthesis Learn more
Automations Scheduled recurring tasks without a daemon Learn more
Tmux Integration Multi-window terminal sessions with keybindings and status bar Learn more
IDE Integrations Claude Code, Cursor, Windsurf, OpenAI Codex support Learn more

See the full features overview for details.

Examples

# Create an epic
/agileflow:epic EPIC=EP-0001 TITLE="User Authentication" OWNER=AG-API GOAL="Secure login"

# Work on a story
/agileflow:babysit

# Multi-expert analysis
/agileflow:multi-expert Is this authentication implementation secure?

# AI Council for strategic decisions
/agileflow:council Should we use microservices or a monolith?

# Parallel sessions
/agileflow:session:new

Documentation

Full documentation at docs.agileflow.projectquestorg.com.

Section Link
Getting Started docs.agileflow.projectquestorg.com/docs/getting-started
Installation docs.agileflow.projectquestorg.com/docs/installation
Commands docs.agileflow.projectquestorg.com/docs/commands
Agents docs.agileflow.projectquestorg.com/docs/agents
Features docs.agileflow.projectquestorg.com/docs/features

License

MIT

Support

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