growth-engineer: Open-source catalog of go-to-market tools and workflows, written as markdown files any agent can run

by GetBrew · MCP Server · ★ 249

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

Security audit verdict: SAFE · quality 66/100

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.

ai-agentsgo-to-marketgrowth-engineeringgtmllms-txtmarkdownmarketing-automationmcpmcp-servermodel-context-protocol

Quick Facts

Stars249
Forks21
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score66/100
Last Updated2026-10-16
Created2026-09-16
Platformsmcp, node
Est. Tokens~16k

About growth-engineer

growth.engineer Go-to-market tools and workflows, written as files any agent can run. An open-source catalog of go-to-market companies, the functions an agent can call on each one, and workflows that chain those functions into a result. Every entry is a markdown file in this repository. growth.engineer &nbsp;·&nbsp; Connect your agent &nbsp;·&nbsp; Contribute &nbsp;·&nbsp; Develop <

Compatible Skills

These tools work well together with growth-engineer for enhanced workflows:

  • gtm-skills — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)

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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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