Patter: Open-source voice-AI SDK

by PatterAI · Codex Skill · ★ 1.1k

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

How to install Patter

npx skills add patterai/skills
npm install getpatter

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

Security audit verdict: SAFE · quality 66/100

Flagged: opens a tunnel service. 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-agentai-phone-agenthermes-agentllmmastraopen-sourceopenaiopenclawpythonrealtime-api

Quick Facts

Stars1,065
Forks125
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score66/100
Open Issues10
Last Updated2026-10-03
Created2026-04-07
Platformspython
Est. Tokens~15k

About Patter

Patter SDK About • How It Works • Documentation • Quickstart • Skills • Templates About

Compatible Skills

These tools work well together with Patter for enhanced workflows:

  • agentcall — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)
  • bolna — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • CyberVerse — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • orbit — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

Patter alternative? Top 6 similar tools

Looking for a Patter alternative? If you're comparing Patter with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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:

View on GitHub → Browse Codex Skill tools