talk-to-girlfriend-ai: im busy building ai agents so why not let an ai talk to my girlfriend? (i am single)

by arlanrakh · MCP Server · ★ 548

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

How to install talk-to-girlfriend-ai

git clone https://github.com/arlanrakh/talk-to-girlfriend-ai.git

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

Security audit verdict: SAFE · quality 76/100

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.

aiai-agentsindexingmcp

Quick Facts

Stars548
Forks99
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score76/100
Open Issues6
Last Updated2026-02-03
Created2025-12-28
Platformsmcp, python
Est. Tokens~83k

About talk-to-girlfriend-ai

Telegram AI Dating Agent p.s: we broke up after this An AI-powered Telegram agent that helps you craft witty, engaging messages for your conversations. Built with Claude Sonnet, Nia semantic search, and a full-featured Telegram MCP integration.

Compatible Skills

These tools work well together with talk-to-girlfriend-ai for enhanced workflows:

  • open-terminal — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • hyperpocket — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
  • awesome-web-agents — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • claude-code-voice-skill — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • quant-python-ai — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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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