No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kodelyx · MCP Server · ★ 110
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flow-agent safe to install? View the security audit →
⚡ Flow Agent CLI, OpenAI-compatible API, Chrome extension, and MCP server for Google Flow image/video generation. Features Text-to-image and reference-based image generation Text-to-video, image-to-video, reference-to-video, and video editing 4/6/8/10-second video generation OpenAI-compatible HTTP API CLI for full control MCP v2 with status, credits, models, history, generation, upload, URL download, and video editing Chrome extension bridge using your logged-in Google Flow session (Pro) as the default image model Install from source Requirements: Python 3.10+, Chrome, Google Flow access, and the package manager. Start the backend: Chrome extension Open . Enable Developer mode. Click Load unpacked. Select the folder. Open , sign in, and keep the page open. Verify with . Extension-specific instructions: flow-extension/README.md. CLI bash flow status flo
| Stars | 110 |
| Forks | 42 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 72.3370575867731/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-28 |
| Created | 2026-05-31 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~14k |
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flow-agent is ⚡ CLI toolkit for Google Flow — Nano Banana Pro images, Omni Flash videos, MCP v2 & OpenAI API.. It is categorized as a MCP Server with 110 GitHub stars.
flow-agent is primarily written in Python. It covers topics such as automation, cli, google-flow.
You can find installation instructions and usage details in the flow-agent GitHub repository at github.com/kodelyx/flow-agent. The project has 110 stars and 42 forks, indicating an active community.
The top alternatives to flow-agent on Agent Skills Hub include gflow-cli, vibeframe, UnityMCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: