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 Storia-AI · Agent Tool · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sage safe to install? View the security audit →
Sage: Chat with any codebase Documentation · Hosted app and tags are work-arounds for styling, since GitHub doesn't take into account inline styles. Note it might display awkwardly on other Markdown editors. -- <img src="assets/chatscreenshot2.png" alt="screens
| Stars | 1,269 |
| Forks | 116 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 55.6687466042967/100 |
| Open Issues | 30 |
| Last Updated | 2024-11-11 |
| Created | 2024-08-23 |
| Platforms | claude-code, python |
| Est. Tokens | ~652k |
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sage is Chat with any codebase in under two minutes | Fully local or via third-party APIs. It is categorized as a Agent Tool with 1.3k GitHub stars.
sage is primarily written in Python. It covers topics such as ai, anthropic, claude.
You can find installation instructions and usage details in the sage GitHub repository at github.com/Storia-AI/sage. The project has 1.3k stars and 116 forks, indicating an active community.
sage is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sage on Agent Skills Hub include aide, Unity-MCP, antigravity-workspace-template. 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: