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Get Started Free →Pre-submission compliance scanner workflow for Apple App Store apps. Use when reviewing iOS, macOS, tvOS, watchOS, or visionOS projects (Swift, Objective-C, React Native, Expo) for App Store rejection risks, submission readiness, privacy compliance, or guideline violations.
.claude/skills/revylai-app-store-preflight-compliance/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | -89% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -38% | 0% |
| case-16 | ✗→✓ | ▲ Improved | -80% | 0% |
| case-17 | ✗→✓ | ▲ Improved | -52% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -55% | 0% |
Run Greenlight checks, fix findings, and repeat until the project reaches GREENLIT status.
greenlight preflight at the project root.CRITICAL, then WARN, then INFO).CRITICAL findings remain.bashgreenlight preflight .
If an IPA is available:
bashgreenlight preflight . --ipa /path/to/build.ipa
If greenlight is missing, install it:
bash# Homebrew (macOS) brew install revylai/tap/greenlight # Go go install github.com/RevylAI/greenlight/cmd/greenlight@latest # Build from source git clone https://github.com/RevylAI/greenlight.git cd greenlight && make build
Fix in order:
CRITICAL: must fix before submission.WARN: high rejection risk, strongly recommended to fix.INFO: best-practice improvements.Common fixes:
Lorem ipsum, TBD, Coming soon).http:// URLs with https://.bashgreenlight preflight .
Continue until output reports GREENLIT (zero CRITICAL findings).
bashgreenlight codescan . greenlight privacy . greenlight ipa /path/to/build.ipa greenlight scan --app-id <ID> greenlight guidelines search "privacy"
Original project and workflow: RevylAI/greenlight.
Credit to Lanseer and the Revyl team for creating Greenlight. This package is a Codex-native adaptation for the same workflow.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 5,516 | 3,171 | -43% | 1 | 1 | 0% | 207 | 831 | +301% | 0 | 0 | — |
case-02 | fail→fail | 5,576 | 6,134 | +10% | 1 | 1 | 0% | 247 | 804 | +226% | 0 | 0 | — |
case-03 | fail→fail | 6,030 | 5,596 | -7% | 1 | 1 | 0% | 206 | 711 | +245% | 0 | 0 | — |
case-04 | pass→pass | 15,757 | 6,626 | -58% | 1 | 1 | 0% | 2,208 | 1,563 | -29% | 0 | 0 | — |
case-05 | fail→pass | 90,991 | 2,346 | -97% | 1 | 1 | 0% | 7,866 | 858 | -89% | 0 | 0 | — |
case-06 | fail→pass | 10,284 | 4,692 | -54% | 1 | 1 | 0% | 1,722 | 1,074 | -38% | 0 | 0 | — |
case-07 | pass→pass | 11,090 | 7,204 | -35% | 1 | 1 | 0% | 1,534 | 1,720 | +12% | 0 | 0 | — |
case-08 | pass→pass | 7,974 | 7,537 | -5% | 1 | 1 | 0% | 1,136 | 1,630 | +43% | 0 | 0 | — |
case-09 | pass→pass | 9,090 | 9,016 | -1% | 1 | 1 | 0% | 1,306 | 1,879 | +44% | 0 | 0 | — |
case-10 | pass→pass | 15,347 | 12,996 | -15% | 1 | 1 | 0% | 2,163 | 2,506 | +16% | 0 | 0 | — |
case-11 | pass→pass | 28,170 | 10,941 | -61% | 1 | 1 | 0% | 1,561 | 1,585 | +2% | 0 | 0 | — |
case-12 | pass→pass | 12,855 | 8,624 | -33% | 1 | 1 | 0% | 1,824 | 1,811 | -1% | 0 | 0 | — |
case-13 | pass→pass | 11,252 | 11,249 | -0% | 1 | 1 | 0% | 1,715 | 2,450 | +43% | 0 | 0 | — |
case-14 | pass→pass | 16,324 | 13,547 | -17% | 1 | 1 | 0% | 2,353 | 2,806 | +19% | 0 | 0 | — |
case-15 | pass→pass | 14,489 | 3,581 | -75% | 1 | 1 | 0% | 1,883 | 947 | -50% | 0 | 0 | — |
case-16 | fail→pass | 29,087 | 2,719 | -91% | 1 | 1 | 0% | 4,409 | 886 | -80% | 0 | 0 | — |
case-17 | fail→pass | 12,105 | 3,464 | -71% | 1 | 1 | 0% | 1,983 | 947 | -52% | 0 | 0 | — |
case-18 | fail→pass | 24,279 | 3,044 | -87% | 1 | 1 | 0% | 2,063 | 932 | -55% | 0 | 0 | — |
case-19 | pass→pass | 6,014 | 8,081 | +34% | 1 | 1 | 0% | 858 | 1,084 | +26% | 0 | 0 | — |
case-20 | pass→pass | 12,063 | 12,790 | +6% | 1 | 1 | 0% | 1,860 | 1,562 | -16% | 0 | 0 | — |
case-21 | pass→pass | 8,673 | 6,993 | -19% | 1 | 1 | 0% | 1,374 | 1,566 | +14% | 0 | 0 | — |
case-22 | pass→fail | 48,886 | 16,033 | -67% | 1 | 1 | 0% | 3,354 | 3,761 | +12% | 0 | 0 | — |
case-23 | pass→pass | 24,737 | 8,845 | -64% | 1 | 1 | 0% | 1,644 | 1,792 | +9% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 20 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of 0 percentage points is the difference between those two pass rates over the 20 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.