oh-my-growth: Evidence-backed growth decisions for AI-agent teams

by tinylion1024 · Codex Skill · ★ 52

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

How to install oh-my-growth

uv tool install oh-my-growth
git clone https://github.com/tinylion1024/oh-my-growth.git && cd oh-my-growth && ./scripts/install.sh --platform claude

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 55/100

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.

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.

aeoai-agentsclaude-codegeogrowthgrowth-hackinghermesopenclawproduct-growthseo

Quick Facts

Stars52
Forks3
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score55/100
Open Issues11
Last Updated2026-07-25
Created2026-06-03
Platformsclaude-code, python
Est. Tokens~13k

About oh-my-growth

oh-my-growth — Open-Source Growth Decision Engine An open-source AI growth strategy tool for SEO, AEO, GEO, product growth, and AI-agent teams. Turn a growth question into a ranked, evidence-linked 2-week experiment with a success signal and a stop condition—not a generic list of tactics.

Compatible Skills

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

  • kai-cmo-harness — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)

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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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