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 jcaromiq · MCP Server · ★ 148
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is goku safe to install? View the security audit →
Goku Goku is a high-performance, scalable HTTP load-testing tool designed for benchmarking and performance analysis of web services. Inspired by tools like Drill and Vegeta, Goku offers modern features and simplicity for engineers to simulate and analyze traffic efficiently. Features Fast and scalable HTTP load testing Real-time live stats during long tests Rate limiting () for constant-rate load profiles Multi-step sequential scenarios (multiple endpoints per test) Variable templating in URLs and bodies (, , , …) Built-in authentication (Bearer token, Basic auth) ASCII latency histogram in text output subcommand to diff two benchmark runs Output to file () and per-request log () HTTP/1.1, HTTP/2 support Multiple output formats: , , MCP (Model Context Protocol) server for LLM/agent integration Install CLI Automatic download (Linux, OSX, WSL) Usin
| Stars | 148 |
| Forks | 7 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.0638634598824/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-30 |
| Created | 2023-02-06 |
| Platforms | mcp, rust |
| Est. Tokens | ~25k |
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goku is Goku is an HTTP load testing application written in Rust. It is categorized as a MCP Server with 148 GitHub stars.
goku is primarily written in Rust. It covers topics such as benchmark, benchmarking, http.
You can find installation instructions and usage details in the goku GitHub repository at github.com/jcaromiq/goku. The project has 148 stars and 7 forks, indicating an active community.
goku is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to goku on Agent Skills Hub include vestige, rust-docs-mcp-server, MCPBench. 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: