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 alperhankendi · MCP Server · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Ctxo safe to install? View the security audit →
Detects your languages, installs the right plugins, wires Ctxo into your AI client, installs git hooks, and builds the first index one command. The Problem: agents code blind Drop a modern coding agent into a real repo. It ripgreps a symbol, gets 47 hits, reads five files to find the definition, five more for callers misses the subclass entirely (inheritance doesn't show up in text search), never checks git history (and confidently reintro
| Stars | 67 |
| Forks | 8 |
| Language | HTML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.2051118314618/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-21 |
| Created | 2026-03-28 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~17k |
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Ctxo is MCP server for AI coding agents. Instead of reading files one by one, your agent gets dependency graphs, git intent, blast radius, and change health in a single call. Works with any language deep anal. It is categorized as a MCP Server with 67 GitHub stars.
Ctxo is primarily written in HTML. It covers topics such as ai-coding, claude, code-intelligence.
You can find installation instructions and usage details in the Ctxo GitHub repository at github.com/alperhankendi/Ctxo. The project has 67 stars and 8 forks, indicating an active community.
Ctxo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Ctxo on Agent Skills Hub include stacklit, codebase-context, toolhive-studio. 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: