Android code review
Skill adrigm06/Android-Engineering-Skill/skills/android-code-review
A modular, composable, production-grade Android skill system for agentic engineering workflows, designed to behave like a senior Android Staff Engineer under real-world constraints.
npx -y skills add adrigm06/Android-Engineering-Skill --skill android-code-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Structured Android code review skill with severity-based findings across architecture, correctness, maintainability, performance, and security. Use this for PR reviews and technical debt assessments.
SKILL.md
4.8 KB, as published. Nobody here has run it
Purpose
Run disciplined Android code reviews that prioritize issues by incident risk and provide implementation-ready fixes.
Scope and authority
This skill is synthesis authority across domains. It consolidates architecture, security, performance, testing, and release concerns into a prioritized outcome.
When not to use
- when the primary task is deep root-cause investigation (
android-debugging) - when the primary goal is new architecture design selection (
android-architecture)
When to use
- pull request reviews
- technical debt audits
- release-candidate quality checks
Decision engine workflow
- Establish change intent and blast radius.
- Check non-negotiable constraints first.
- Evaluate architecture, correctness, maintainability, performance, and security implications.
- Rank findings by severity and operational impact.
- Propose fix order and verification strategy.
Branching decision tree
Branch A: change risk profile
high blast radius(cross-module, auth, payment, startup, release-critical):- perform deep multi-domain review with stricter evidence requirements
medium blast radius:- prioritize correctness, maintainability, and boundary consistency
low blast radius:- focus on local quality and regression prevention
Branch B: release proximity
near release:- prioritize regressions and production-risk findings first
normal window:- include strategic maintainability improvements with staged follow-up
Branch C: change category
security-sensitive:- require stronger evidence and verification for exploitability/reachability concerns
performance-sensitive:- require measurement-backed findings for hotspot regressions
boundary-sensitive:- prioritize dependency direction and ownership violations
Branch D: evidence availability
full diff/artifacts available:- run normal severity-based review flow
partial artifacts only:- scope findings to verified surfaces, mark unknowns explicitly
no diff/artifacts provided:- do not approve/reject code quality conclusively
- return a provisional risk review with required evidence checklist
- provide a low-risk fallback path (narrow merge scope or hold)
Quantitative gates
Use measurable evidence gates for high-impact findings:
- evidence sufficiency gate:
passwhen finding has concrete code evidence and reproducible risk pathat-riskwhen evidence is partial but plausiblefailwhen claim is mostly speculative
- verification readiness gate:
passwhen recommended fix includes clear verification stepsat-riskwhen verification is incompletefailwhen no verification plan exists
Uncertainty protocol
Always include confidence on non-trivial findings. For medium/low confidence findings, include the minimum evidence needed to confirm/refute.
Confidence bands:
High(>= 0.80)Medium(0.60-0.79)Low(< 0.60)
If confidence is medium/low:
- list assumptions explicitly
- request minimum additional evidence that can re-rank severity
- provide at least one fallback recommendation with lower regression risk
- escalate to specialized skill when domain certainty is insufficient
Output contract
Follow global order from ../../AGENTS.md:
Context and constraintsDecision and rationaleAlternatives consideredTradeoffsRisks and mitigationsConfidence and unknownsCross-skill impactsNext implementation steps
Then include review-specific artifacts:
Findings by severityEvidenceRisk impactRecommended fixFollow-up checks
No-diff fallback template (required when artifacts are missing)
When PR diff or runtime artifacts are missing, add:
Review status:Provisional - insufficient evidenceBlocking unknowns: exact missing artifacts (diff, module list, benchmarks, security config deltas)Provisional findings: only evidence-backed risks, each markedconfirmedorhypothesisMinimum evidence to finalize: smallest artifact set needed for final severity rankingFallback path: low-risk option (scope split, hold merge, or merge non-runtime subset only)
Cross-skill handoff payload
Use the standard payload defined in ../../AGENTS.md (section: Cross-skill handoff contract).
Set requesting_skill to android-code-review.
Anti-pattern detection
- hidden coupling or boundary violations
- missing tests on behavior-critical changes
- performance-sensitive changes with no measurements
- security-impacting changes with weak controls
Related resources
references/review-severity-evidence.mdtemplates/review-report.md