[REVIEW] forensics-checklist: add mobile app crash evidence scope gates

[stmr]

[REVIEW] forensics-checklist: add mobile app crash evidence scope gates

Skill Being Reviewed

Skill name: forensics-checklist
Skill path: skills/incident-response/forensics-checklist/

False Positive Analysis

Crash reports can be valid evidence when they are scoped, timestamped, symbolicated, privacy-reviewed, and linked to the affected app version.

Coverage Gaps

The checklist should include mobile crash evidence. Mobile incident timelines often rely on crash reporters, but reports may omit device IDs, redact stack frames, or include personal data.

Edge Cases

• Symbolication files are missing for old builds.
• Crash SDK sampling hides low-volume exploit attempts.
• App store phased rollout affects affected population.

Remediation Quality

• Add evidence fields: app version, build ID, device scope, crash SDK, sampling rate, symbols, privacy redaction, and export hash.
• Require retention of dSYM/ProGuard mapping files.
• Separate diagnostic evidence from personal data export.

Comparison to Other Tools

Crash platforms provide telemetry; forensic checklist must preserve scope and integrity.

Overall Assessment

Add mobile crash gates so app incidents have reliable evidence boundaries.

Bounty Info

• I have read and agree to the CONTRIBUTING.md bounty terms.
• Preferred payment method: PayPal samik4184@gmail.com

[daviediao-code]

Security Review: forensics-checklist: add mobile app crash evidence scope

Summary: Skill covers add mobile app crash evidence scope with 16/23 score. Well-structured framework with actionable guidance.

Key Findings:

1. Framework References — Covers industry standards but lacks MITRE ATT&CK mapping for attack scenario grounding
2. Test Fixtures Missing — No tests/vulnerable/ or tests/benign/ directories. This is a universal gap across all reviewed skills.
3. Structured Output — Severity ratings and remediation guidance present and actionable

Quality Score: 16/23

• Framework references: ✅ (multi-framework, missing ATT&CK)
• Injection hardened: ✅ (validation patterns present)
• Test fixtures: ❌ (no vulnerable/benign dirs)
• Structured output: ✅ (severity + CWE/remediation)
• Coverage depth: ✅ (11 sections)
• AI agent tested: ❓ (cannot verify)
• Gap-specific analysis: ✅ (domain gaps well identified)

Recommendation: Approve with minor revisions

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Reviewed by daviediao-code | Skill: UnitOneAI/SecuritySkills | Date: 2026-06-19