WeClone: Build a portrait of your life. Assistants that know you. Clones that talk like you

by xming521 · MCP Server · ★ 18.3k

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

How to install WeClone

git clone https://github.com/xming521/WeClone.git && cd WeClone

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

Security audit verdict: SAFE · quality 68/100

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.

agentai-clonechat-historydigital-twinllmmcpmemorypersonal-aitelegram

Quick Facts

Stars18,336
Forks1,543
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score68/100
Open Issues37
Last Updated2026-10-30
Created2024-01-31
Platformsmcp, python
Est. Tokens~18k

About WeClone

🚀 One-stop solution for creating your digital avatar from chat history 💡 <a href="https://hellogithub.com/repository/12ab209b56cb4cfd885c8cfd4cfdd

Compatible Skills

These tools work well together with WeClone for enhanced workflows:

  • wechat-intelligence-hub — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • colleague-skill — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • Telegram-MedicalBot — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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