Edge Copy setup link
Skill evidence / app-rejection-recovery
Skill profile

app-rejection-recovery

When the user's app or update was rejected by Apple App Review or Google Play Review and they need to...

What this skill does for you

When the user's app or update was rejected by Apple App Review or Google Play Review and they need to diagnose why, fix it, and resubmit fast. Use when the user mentions "app rejected", "App Review rejection", "guideline violation", "Apple rejected my app", "Google Play rejected", "Play policy violation", "Resolution Center", "metadata rejection", "binary rejection", "guideline 2.1", "guideline 4.3", "guideline 5.1.1", "Sign in with Apple required", "Apple ID rejection", "Play Store suspension", "appeal", "I need to respond to App Review", or "expedited review". For pre-submission listing health, see aso-audit. For metadata-only fixes, see metadata-optimization.

Quoted from the skill description in the pinned source

Who made it

Publisherappeeky
Repositoryaso-skills
Installs1,500as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the app-rejection-recovery skill from appeeky/aso-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/appeeky/aso-skills
Pinned skill file
View source at revision
Revision
4df730f456c21e42b9a2ea2be89fb32caf787728
Package hash
sha256:5db9703c16c524311ccd7ba6928c0b17d2a7b00adbef440b98c2234168e3e8b8
Licence
MIT