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 →
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🔒 Is PSiOSAppTemplate safe to install? View the security audit →
Note: I consider this template deprecated. There are much better choices available now, like AFNetworking, JSONKit, HockeyKit, SSToolKit, ... Some stuff is really a bad idea (like Flurry), other is now integrated in Foundation (like regular expressions). I'll keep it around a little longer, but please don't use it anymore. This is a working start point for an iOS App. All the little bits are set for you. Remember to init all submodules: git submodule init git submodule update This basic template opens a PSTableViewController connected to a navigationController, all in code (there are no nibs). Whats in the box? Localization for English/German pre-setup Xcode agnostic gitignore setup Completely setup autoupdating via Hockey, with custom Target for instant App-Distribution. All you need is to modify the ssh script in the BetaDistribute target and setup a server with the Hockey server parts: https://github.com/TheRealKerni/Hockey Integrated Crash Reporter Server sender.
| Stars | 178 |
| Forks | 26 |
| Language | Objective-C |
| Category | AI Tool |
| Quality Score | 46.8345582697964/100 |
| Open Issues | 2 |
| Last Updated | 2011-09-14 |
| Created | 2010-12-12 |
| Est. Tokens | ~16k |
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PSiOSAppTemplate is iOS Application Template with JSON-Parsing, AutoUpdating, CrashReporter+Sender, Statistics, custom Logging, Localization and all those little things already set up, ready for you to make awesome stuff. It is categorized as a AI Tool with 178 GitHub stars.
PSiOSAppTemplate is primarily written in Objective-C.
You can find installation instructions and usage details in the PSiOSAppTemplate GitHub repository at github.com/steipete/PSiOSAppTemplate. The project has 178 stars and 26 forks, indicating an active community.
The top alternatives to PSiOSAppTemplate on Agent Skills Hub include pivotnacci, MedgeClaw, SciToolAgent. 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: