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 edouard-claude · Claude Skill · ★ 457
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is snip safe to install? View the security audit →
snip - Reduce LLM Token Usage by 60-90% CLI proxy that filters shell output before it reaches your AI coding assistant's context window. Works with Claude Code, Cursor, Copilot, Gemini CLI, Windsurf, Cline, Codex, Aider, and any tool that runs shell commands. AI coding agents burn tokens on verbose shell output that adds zero signal. A passing produces hundreds of lines the LLM will never use. dumps full commit metadata when a one-liner per commit suffices. snip sits between your AI tool and the shell, filtering output through declarative YAML pipelines -- no compiled filters, no code changes. Write a YAML file, drop it in a folder, done. An extensible rtk alternative built in Go. snip — Token Savings Report ══════════════════════════════ Commands filtered 128 Tokens saved 2.3M Avg savings 99.8% Efficiency Elite Total time 725.9s ███████████████████░ 100% 14-day trend ▁█▇
| Stars | 457 |
| Forks | 45 |
| Language | Go |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.4051368417465/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-30 |
| Created | 2026-02-20 |
| Platforms | claude-code, cli, codex, gemini, go |
| Est. Tokens | ~19k |
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snip is CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.. It is categorized as a Claude Skill with 457 GitHub stars.
snip is primarily written in Go. It covers topics such as ai-coding, ai-tools, aider.
You can find installation instructions and usage details in the snip GitHub repository at github.com/edouard-claude/snip. The project has 457 stars and 45 forks, indicating an active community.
snip is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to snip on Agent Skills Hub include Overture, holysheep-cli, ccmanager. 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: