Semgrep Rule Variant Creator

Semgrep Rule Variant Creator

Port existing Semgrep rules to new target languages with proper applicability analysis and test-driven validation.

When to Use

Ideal scenarios:

• Porting an existing Semgrep rule to one or more target languages
• Creating language-specific variants of a universal vulnerability pattern
• Expanding rule coverage across a polyglot codebase
• Translating rules between languages with equivalent constructs

When NOT to Use

Do NOT use this skill for:

• Creating a new Semgrep rule from scratch (use semgrep-rule-creator instead)
• Running existing rules against code
• Languages where the vulnerability pattern fundamentally doesn't apply
• Minor syntax variations within the same language

Input Specification

This skill requires:

1. Existing Semgrep rule - YAML file path or YAML rule content
2. Target languages - One or more languages to port to (e.g., "Golang and Java")

Output Specification

For each applicable target language, produces:

<original-rule-id>-<language>/
├── <original-rule-id>-<language>.yaml     # Ported Semgrep rule
└── <original-rule-id>-<language>.<ext>    # Test file with annotations

Example output for porting sql-injection to Go and Java:

sql-injection-golang/
├── sql-injection-golang.yaml
└── sql-injection-golang.go

sql-injection-java/
├── sql-injection-java.yaml
└── sql-injection-java.java

Rationalizations to Reject

When porting Semgrep rules, reject these common shortcuts:

Strictness Level

This workflow is strict - do not skip steps:

• Applicability analysis is mandatory: Don't assume patterns translate
• Each language is independent: Complete full cycle before moving to next
• Test-first for each variant: Never write a rule without test cases
• 100% test pass required: "Most tests pass" is not acceptable

Overview

This skill guides the creation of language-specific variants of existing Semgrep rules. Each target language goes through an independent 4-phase cycle:

FOR EACH target language:
  Phase 1: Applicability Analysis → Verdict
  Phase 2: Test Creation (Test-First)
  Phase 3: Rule Creation
  Phase 4: Validation
  (Complete full cycle before moving to next language)

Foundational Knowledge

The semgrep-rule-creator skill is the authoritative reference for Semgrep rule creation fundamentals. While this skill focuses on porting existing rules to new languages, the core principles of writing quality rules remain the same.

Consult semgrep-rule-creator for guidance on:

• When to use taint mode vs pattern matching - Choosing the right approach for the vulnerability type
• Test-first methodology - Why tests come before rules and how to write effective test cases
• Anti-patterns to avoid - Common mistakes like overly broad or overly specific patterns
• Iterating until tests pass - The validation loop and debugging techniques
• Rule optimization - Removing redundant patterns after tests pass

When porting a rule, you're applying these same principles in a new language context. If uncertain about rule structure or approach, refer to semgrep-rule-creator first.

Four-Phase Workflow

Phase 1: Applicability Analysis

Before porting, determine if the pattern applies to the target language.

Analysis criteria:

1. Does the vulnerability class exist in the target language?
2. Does an equivalent construct exist (function, pattern, library)?
3. Are the semantics similar enough for meaningful detection?

Verdict options:

• APPLICABLE → Proceed with variant creation
• APPLICABLE_WITH_ADAPTATION → Proceed but significant changes needed
• NOT_APPLICABLE → Skip this language, document why

See applicability-analysis.md for detailed guidance.

Phase 2: Test Creation (Test-First)

Always write tests before the rule.

Create test file with target language idioms:

• Minimum 2 vulnerable cases (ruleid:)
• Minimum 2 safe cases (ok:)
• Include language-specific edge cases

// ruleid: sql-injection-golang
db.Query("SELECT * FROM users WHERE id = " + userInput)

// ok: sql-injection-golang
db.Query("SELECT * FROM users WHERE id = ?", userInput)

Phase 3: Rule Creation

1. Analyze AST: semgrep --dump-ast -l <lang> test-file
2. Translate patterns to target language syntax
3. Update metadata: language key, message, rule ID
4. Adapt for idioms: Handle language-specific constructs

See language-syntax-guide.md for translation guidance.

Phase 4: Validation

# Validate YAML
semgrep --validate --config rule.yaml

# Run tests
semgrep --test --config rule.yaml test-file

Checkpoint: Output MUST show All tests passed.

For taint rule debugging:

semgrep --dataflow-traces -f rule.yaml test-file

See workflow.md for detailed workflow and troubleshooting.

Quick Reference

Key Differences from Rule Creation

Documentation

REQUIRED: Before porting rules, read relevant Semgrep documentation:

• Rule Syntax - YAML structure and operators
• Pattern Syntax - Pattern matching and metavariables
• Pattern Examples - Per-language pattern references
• Testing Rules - Testing annotations
• Trail of Bits Testing Handbook - Advanced patterns

Next Steps

• For applicability analysis guidance, see applicability-analysis.md
• For language translation guidance, see language-syntax-guide.md
• For detailed workflow and examples, see workflow.md

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior test strategies, known flaky tests, and coverage gaps. Cache test infrastructure setup to avoid re-configuring test environments.

# Check for prior testing/QA context before starting
python3 execution/memory_manager.py auto --query "test patterns and coverage strategies for Semgrep Rule Variant Creator"

Storing Results

After completing work, store testing/QA decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "Testing strategy: integration tests hit real DB (no mocks), 85% line coverage, mutation testing on critical paths" \
  --type technical --project <project> \
  --tags semgrep-rule-variant-creator testing

Multi-Agent Collaboration

Share test results and coverage reports with code review agents so they can verify adequate coverage on changed code.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "QA complete — test suite expanded with 12 new integration tests, all passing" \
  --project <project>

TDD Enforcement

This skill integrates with the framework's iron-law RED-GREEN-REFACTOR cycle. No production code without a failing test first.

Agent Team: QA

Dispatch qa_team to generate tests and verify they pass before marking implementation complete.