by usewhale · MCP Server · ★ 929
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @usewhale/whale
brew install usewhale/tap/whaleTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 929 |
| Forks | 73 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 19 |
| Last Updated | 2026-10-14 |
| Created | 2026-05-06 |
| Platforms | cli, go, mcp |
| Est. Tokens | ~17k |
Whale 简体中文 · English Blazingly fast · 98% prompt cache hit · Zero bloat Whale — AI coding agent for DeepSeek, in any environment. Long context, tools, and programmable workflows — start in the terminal, scale to desktop and beyond. 🚀 Quick
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: