No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ad-naan · Codex Skill · ★ 303
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Adnify safe to install? View the security audit →
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. It replicates and surpasses traditional IDE experiences, blending Cyberpunk glassmorphism design with a powerful built-in AI Agent that supports full-process automation from code generation to file operations. 🏆 Hall of Fame: Supporters Wall "Behind every line of code in Adnify, there's a spark of energy from our community
| Stars | 303 |
| Forks | 48 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 57.2709306924894/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-24 |
| Created | 2025-12-29 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~21k |
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Adnify is A local‑first AI Agent IDE that plans, edits, debugs and ships projects. Your clever otter‑flavored coding teammate.🦦. It is categorized as a Codex Skill with 303 GitHub stars.
Adnify is primarily written in TypeScript. It covers topics such as ai-agents, claude-code, codex.
You can find installation instructions and usage details in the Adnify GitHub repository at github.com/ad-naan/Adnify. The project has 303 stars and 48 forks, indicating an active community.
The top alternatives to Adnify on Agent Skills Hub include code-container, fish-claude, claude-delegator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: