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 ldomaradzki · Agent Tool · ★ 468
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xcsift safe to install? View the security audit →
xcsift A Swift command-line tool to parse and format xcodebuild/SPM output for coding agents, optimized for token efficiency. Overview transforms verbose Xcode build output into concise, structured formats that coding agents and LLMs can efficiently parse and act upon. Unlike and which focus on human-readable output, xcsift
| Stars | 468 |
| Forks | 23 |
| Language | Swift |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74.1678787988413/100 |
| Last Updated | 2026-09-12 |
| Created | 2025-07-10 |
| Est. Tokens | ~16k |
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xcsift is A Swift command-line tool that parses xcodebuild output into token-efficient JSON for coding agents.. It is categorized as a Agent Tool with 468 GitHub stars.
xcsift is primarily written in Swift.
You can find installation instructions and usage details in the xcsift GitHub repository at github.com/ldomaradzki/xcsift. The project has 468 stars and 23 forks, indicating an active community.
xcsift is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to xcsift on Agent Skills Hub include skills, awesome-android-agent-skills, synalinks-skills. 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: