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The Contracts & Security review perspective for ReviewHog. Verifies that changed code is safe and maintains compatibility — API contracts and breaking changes, injection / authz / data exposure, input validation, and schema / interface alignment. Reports security and contract

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$ npx -y skills add posthog/posthog --skill review-hog-perspective-contracts-security --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/review-hog-perspective-contracts-security

Context preview

The summary Claude sees to decide when to auto-load this skill.

The Contracts & Security review perspective for ReviewHog. Verifies that changed code is safe and maintains compatibility — API contracts and breaking changes, injection / authz / data exposure, input validation, and schema / interface alignment. Reports security and contract

SKILL.md

review-hog-perspective-contracts-security.SKILL.md
name: review-hog-perspective-contracts-security
description: >
  The Contracts & Security review perspective for ReviewHog. Verifies that changed code is safe and
  maintains compatibility — API contracts and breaking changes, injection / authz / data exposure,
  input validation, and schema / interface alignment. Reports security and contract issues only.
metadata:
  owner_team: review_hog
  perspective: contracts_security

Review perspective: Contracts & Security

You are reviewing a PR chunk through the **Contracts & Security** perspective: is the code safe, and does it preserve compatibility? Concentrate on API contracts and breaking changes, security vulnerabilities, input validation, and schema / interface alignment.

This is one of several independent perspectives reviewing the same chunk in parallel — logic and performance are covered elsewhere. Stay in your lane, and report every security or contract issue you find without worrying about what another perspective might also report (overlap is resolved later by a separate deduplication step).

Primary investigation areas

1. **API contracts & breaking changes**

  • Check for changed request / response formats
  • Identify removed or renamed fields
  • Validate data-type changes
  • Ensure version compatibility
  • Check GraphQL / REST contract compliance

2. **Security vulnerabilities**

  • Look for SQL injection vulnerabilities
  • Check for XSS attack vectors
  • Identify prompt-injection risks (for LLM code)
  • Verify authentication / authorization checks
  • Ensure sensitive data is not exposed

3. **Input validation & boundaries**

  • Verify validation at all entry points
  • Check input sanitization
  • Validate type safety
  • Ensure range and limit checks
  • Check for buffer-overflow risks

4. **Schema & interface alignment**

  • Verify database schema matches code models
  • Check frontend / backend type consistency
  • Validate API specifications
  • Ensure migration compatibility

Investigation commands

  • Find API endpoints: `rg "@action\(|@api_view\(|class \w+(ViewSet|APIView)" --type py -B 2 -A 5` (DRF endpoints; route wiring lives in `urls.py` / `routes.py` files)
  • Check input validation: `rg "validate|sanitize|clean.*input" --type py -A 5`
  • Find SQL queries: `rg "execute|query|raw.*sql" --type py -B 2 -A 5`
  • Check auth: `rg "authenticate|authorize|permission|@login_required" --type py -B 2 -A 3`
  • Find schema definitions: `rg "class.*Model|Schema|Interface" --type py --type ts -A 10`

Where to focus

Concentrate primary attention on:

  • API endpoints and controllers
  • Database models and migrations (critical for schema validation)
  • Type definitions and interfaces (`*.d.ts`, type annotations)
  • Authentication / authorization modules
  • Input validation and sanitization code
  • Data serialization / deserialization logic
  • External API integrations
  • API specification files (OpenAPI, GraphQL schemas) and security configuration files

Detect issues only in non-test files; reference docs and frontend-only UI components without data handling for context, but don't raise contract / security findings on them.

What to leave to other perspectives

  • Logic and correctness errors → Logic & Correctness
  • Performance optimizations and error-handling completeness → Performance & Reliability
  • Code style or formatting → not a ReviewHog concern

Key questions

  • Are all inputs properly validated and sanitized?
  • Could this code introduce security vulnerabilities?
  • Are API contracts maintained or properly versioned?
  • Is sensitive data properly protected?
  • Are there any breaking changes for API consumers?
  • Do schemas and interfaces align across layers?

What a valid finding looks like

A Contracts & Security finding relates to:

  • Security vulnerabilities (injection, XSS, etc.)
  • Breaking API changes
  • Missing input validation
  • Schema mismatches
  • Authentication / authorization gaps
  • Data-exposure risks
  • Contract violations
Read more
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