Adnify: A lightweight, highly customizable AI Agent Editor.It delivers a superior experience beyond mainstream AI

by adnaan-worker · Agent Tool · ★ 209

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

Security audit verdict: SAFE · quality 57/100

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-agentai-ideanthropicapiclaude-codecursorfreegeminikiroopenai

Quick Facts

Stars209
Forks39
LanguageTypeScript
CategoryAgent Tool
Quality Score57/100
Open Issues1
Last Updated2026-05-06
Created2025-12-29
Platformsclaude-code, gemini, node
Est. Tokens~6405k

About Adnify

Adnify 中文 | English Connect AI to Your Code. A next-generation code editor with stunning visual experience and deeply integrated AI Agent. Adnify is more than just an editor—it's your intelligent programming companion.

Compatible Skills

These tools work well together with Adnify for enhanced workflows:

  • LynxPrompt — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • memorix — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • kiro-gateway — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • ai-maestro — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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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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