skene: Product-Led Growth analysis toolkit that detects tech stacks, plans growth loops and builds the loop

by SkeneTechnologies · MCP Server · ★ 121

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

How to install skene

uvx skene analyse-journey .
pip install skene

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

ai-toolsanthropicautomationclicli-toolcode-documentationcodebase-analysisdeveloper-toolsgeminigrowth-hacking

Quick Facts

Stars121
Forks13
LanguageGo
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues10
Last Updated2026-08-26
Created2026-01-07
Platformscli, gemini, go, mcp
Est. Tokens~16k

About skene

    Skene reads your codebase and produces a user journey for your product: the lifecycle stages a user moves through, the milestones inside each stage, and the code or database evidence that proves each milestone is real.

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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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