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 001TMF · MCP Server · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is blatant-why safe to install? View the security audit →
Open-source protein design agent for Claude Code Commercial platforms wrap open-source tools behind paywalls and call it a revolution. BY gives you direct access through Claude Code. No platform fees. Your tools, your compute, your designs. Source: trust us bro Quick Start (5 minutes) You don't need to be a developer. If you can open a terminal and paste commands, you can run BY.
| Stars | 104 |
| Forks | 10 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.2945580834316/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-21 |
| Created | 2026-03-23 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~777k |
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blatant-why is AI-powered biologics design campaign agent — multi-agent orchestration with BoltzGen, PXDesign, Protenix, and 200+ cloud tools. Antibodies, nanobodies, de novo binders, and beyond.. It is categorized as a MCP Server with 104 GitHub stars.
blatant-why is primarily written in Python. It covers topics such as ai-agent, antibody-design, boltzgen.
You can find installation instructions and usage details in the blatant-why GitHub repository at github.com/001TMF/blatant-why. The project has 104 stars and 10 forks, indicating an active community.
blatant-why is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to blatant-why on Agent Skills Hub include SciAgent-Skills, awesome-bio-agent-skills, RivalSearchMCP. 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: