whip: A fast coding-agent harness in Go

by context-labs · MCP Server · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install whip

go install github.com/context-labs/whip/cmd/whip@latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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.

Quick Facts

Stars1,104
Forks158
LanguageGo
CategoryMCP Server
LicenseApache-2.0
Quality Score65/100
Open Issues28
Last Updated2026-11-03
Created2026-08-20
Platformsgo, mcp
Est. Tokens~16k

About whip

An LLM tool-use loop (bash / read / write / edit / task), an interactive bubbletea session, and provider-routable models. One binary, no runtime, config you can read. Why whip Agent harnesses should be FAST — literally as fast as possible. whip is built in Go around that constraint: parallel tool calls, streaming everything, nothing between you and the model but a loop.

Compatible Skills

These tools work well together with whip for enhanced workflows:

  • pi — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • evener — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

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:

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