infio-copilot: A Cursor-inspired AI assistant for Obsidian that offers smart autocomplete and interactive chat

by infiolab · MCP Server · ★ 661

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

Featured in: Obsidian for Claude Code & AI Agents

Security audit verdict: SAFE · quality 65/100

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.

agentautocompletecursormcpobsidian

Quick Facts

Stars661
Forks62
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score65/100
Open Issues71
Last Updated2025-09-26
Created2025-01-05
Platformsmcp, node
Est. Tokens~8749k

About infio-copilot

Infio-Copilot Infio-Copilot is a Cursor-inspired AI assistant for Obsidian that offers smart autocomplete and interactive chat with your selected notes English | 中文 ✨ What's New 0.7.2 We're excited to announce a major update packed with new features to streamline your workflow and supercharge your knowledge management within Obsidian.

Compatible Skills

These tools work well together with infio-copilot for enhanced workflows:

  • claudian — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • obsidian-gemini-helper — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • obsidian-ai-tagger — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • obsidian-agent-client — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • obsidian-plugin-skill — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (51%)

infio-copilot alternative? Top 6 similar tools

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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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