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 stephenleo · Claude Skill · ★ 419
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cship safe to install? View the security audit →
⚓ CShip (pronounced "sea ship") A beautiful, fully customizable statusline for Claude Code Starship-style TOML config, themeable colours, Nerd Font glyphs, and tunable cost/context/usage thresholds. renders a live statusline for Claude Code sessions, showing session cost, context window usage, model name, API usage limits, and more — all configurable via a simple TOML file. Key features: 🎨 Fully Customizable: Configure every module with Starship-c
| Stars | 419 |
| Forks | 36 |
| Language | Rust |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 67.2870736840791/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-06 |
| Created | 2026-02-22 |
| Platforms | claude-code, rust |
| Est. Tokens | ~26k |
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cship is ⚡ A beautiful, fully customizable statusline for Claude Code - Starship-style TOML config, themeable colours, Nerd Font glyphs, and tunable cost/context/usage thresholds.. It is categorized as a Claude Skill with 419 GitHub stars.
cship is primarily written in Rust. It covers topics such as agentic-ai, claude, claude-ai.
You can find installation instructions and usage details in the cship GitHub repository at github.com/stephenleo/cship. The project has 419 stars and 36 forks, indicating an active community.
cship is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to cship on Agent Skills Hub include ios-simulator-skill, claude-talk-to-figma-mcp, mcp-server-code-execution-mode. 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: