ios-app-store-submit: Claude Code skill for automating iOS App Store submission

by ZestfulPulse · Claude Skill · ★ 141

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install ios-app-store-submit

git clone https://github.com/ZestfulPulse/ios-app-store-submit.git ~/.agents/skills/ios-app-store-submit

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agent-skillautomation-devopsdeveloper-toolsgithubgithub-actionsrelease-automationrelease-management

Quick Facts

Stars141
Forks18
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Open Issues3
Last Updated2026-10-01
Created2026-08-05
Platformsclaude-code, python
Est. Tokens~15k

About ios-app-store-submit

ios-app-store-submit 🇺🇸 English | 🇰🇷 한국어 From automating App Store submission to deciding whether an iOS app is actually ready to submit, and helping recover when review fails. preserves the existing Archive → Upload → Submit workflow while adding evidence-driven Readiness, Apple Review Guidelines, Privacy, and HIG/Design checks before submission.

Compatible Skills

These tools work well together with ios-app-store-submit for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Claude Skill tools