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 Qiuner · Agent Tool · ★ 581
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is birdview safe to install? View the security audit →
Birdview Transform your development workflow with Birdview! Shift your focus from code to architecture—and break open the black box of AI coding! See AI changes before they happen. Quick Start · How It Works · Live Demo · Project Site · 简体中文 Stop letting AI code blind. Use the Birdview Skill to overturn the default coding flow: map the architecture first, expose the modules an agent plans to touch,
| Stars | 581 |
| Forks | 53 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.8637804801558/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-22 |
| Created | 2026-09-12 |
| Platforms | node |
| Est. Tokens | ~16k |
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birdview is Stop letting AI code blind. Map the architecture before every change with Birdview.. It is categorized as a Agent Tool with 581 GitHub stars.
birdview is primarily written in TypeScript. It covers topics such as agent-tools, ai-workflow, architecture-as-code.
You can find installation instructions and usage details in the birdview GitHub repository at github.com/Qiuner/birdview. The project has 581 stars and 53 forks, indicating an active community.
birdview is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to birdview on Agent Skills Hub include ontology-atlas, pro-workflow, pilot-shell. 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: