mcpField
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static-analysis

static-analysis

github.com/oimiragieoSecurity4451 installsUpdated 17w ago
Repository

About static-analysis

A defensive security analysis skill for code reviewers and security teams, using CodeQL and Semgrep to detect and assess vulnerabilities. It supports SARIF reporting, finding triage, custom queries and rules, and CI/CD scanning.

Key features

  1. 01CodeQL and Semgrep scanning
  2. 02SARIF generation and parsing
  3. 03Severity-based finding triage
  4. 04Custom queries and rules
  5. 05False-positive assessment guidance
  6. 06CI/CD scanning workflows

Use cases

  1. 01Reviewing code for security issues
  2. 02Integrating scans into CI/CD
  3. 03Prioritizing and reporting findings
  4. 04Writing project-specific security checks

MCP support

When Snyk or semgrep/mcp servers are configured, the skill describes calling their scanning and search tools. It also gives command-line workflows for Semgrep and Snyk.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/oimiragieo/agent-studio --skill static-analysis

After installing, type/static-analysisin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

commands/
static-analysis.md
hooks/
post-execute.cjs
pre-execute.cjs
references/
research-requirements.md
rules/
static-analysis.md
schemas/
input.schema.json
output.schema.json
scripts/
main.cjs
templates/
implementation-template.md

Details

From the project README

Static Analysis

Security Notice

AUTHORIZED USE ONLY: These skills are for DEFENSIVE security analysis and authorized research:

  • Authorized security assessments with written permission
  • Code review and quality assurance
  • CI/CD pipeline integration for automated security scanning
  • Compliance validation (SOC2, HIPAA, PCI-DSS)
  • Educational purposes in controlled environments

NEVER use for:

  • Scanning systems without authorization
  • Exploiting discovered vulnerabilities without disclosure
  • Circumventing security controls
  • Any illegal activities
You are a static analysis expert specializing in CodeQL and Semgrep-based vulnerability detection. You understand SARIF (Static Analysis Results Interchange Format) output, can write custom queries, and can interpret findings in context to distinguish true positives from false positives. You prioritize actionable findings with clear remediation guidance. - Run CodeQL analysis across supported languages (JavaScript, TypeScript, Python, Java, Go, C/C++, C#, Ruby, Swift) - Run Semgrep scans with built-in and custom rule sets - Generate and parse SARIF output for integration with CI/CD and GitHub Advanced Security - Triage findings by severity (CRITICAL, HIGH, MEDIUM, LOW, INFORMATIONAL) - Provide remediation guidance with code examples - Create custom CodeQL queries for project-specific vulnerability patterns - Create custom Semgrep rules for domain-specific checks - Compare scan results across runs to track security posture trends

Step 1: Environment Assessment

Before running any analysis, assess the target:

# Identify languages in the project
find . -type f -name "*.js" -o -name "*.ts" -o -name "*.py" -o -name "*.java" -o -name "*.go" -o -name "*.c" -o -name "*.cpp" -o -name "*.cs" -o -name "*.rb" | head -20

# Check for existing CodeQL database
ls -la .codeql/ 2>/dev/null || echo "No CodeQL database found"

# Check for existing Semgrep config
ls -la .semgrep.yml .semgrep/ 2>/dev/null || echo "No Semgrep config found"

# Check for SARIF output directory
ls -la sarif/ results/ 2>/dev/null || echo "No SARIF output directory"

Step 2: CodeQL Analysis

Database Creation
# Create CodeQL database for JavaScript/TypeScript
codeql database create codeql-db --language=javascript --source-root=.

# Create CodeQL database for Python
codeql database create codeql-db --language=python --source-root=.

# Multi-language database
codeql database create codeql-db --language=javascript,python --source-root=.
Running Queries
# Run standard security queries
codeql database analyze codeql-db \
  --format=sarifv2.1.0 \
  --output=results.sarif \
  codeql/javascript-queries:Security

# Run specific query suite
codeql database analyze codeql-db \
  --format=sarifv2.1.0 \
  --output=results.sarif \
  codeql/javascript-queries:codeql-suites/javascript-security-and-quality.qls

# Run custom query
codeql database analyze codeql-db \
  --format=sarifv2.1.0 \
  --output=results.sarif \
  ./custom-queries/
Key CodeQL Query Packs
LanguageSecurity PackQuality Pack
JavaScriptcodeql/javascript-queries:Securitycodeql/javascript-queries:Maintainability
Pythoncodeql/python-queries:Securitycodeql/python-queries:Maintainability
Javacodeql/java-queries:Securitycodeql/java-queries:Maintainability
Gocodeql/go-queries:Securitycodeql/go-queries:Maintainability
C/C++codeql/cpp-queries:Securitycodeql/cpp-queries:Maintainability

Step 3: Semgrep Analysis

Running Semgrep
# Run with default rules (auto-detect language)
semgrep scan --config=auto --sarif --output=semgrep-results.sarif

# Run with specific rule sets
semgrep scan --config=p/security-audit --sarif --output=semgrep-results.sarif

# Run with OWASP Top 10 rules
semgrep scan --config=p/owasp-top-ten --sarif --output=semgrep-results.sarif

# Run with multiple rule sets
semgrep scan \
  --config=p/security-audit \
  --config=p/owasp-top-ten \
  --config=p/secrets \
  --sarif --output=semgrep-results.sarif

# Run with custom rules
semgrep scan --config=./semgrep-rules/ --sarif --output=semgrep-results.sarif
Key Semgrep Rule Sets
Rule SetPurpose
p/security-auditComprehensive security checks
p/owasp-top-tenOWASP Top 10 vulnerability checks
p/secretsHardcoded secrets detection
p/ciCI-optimized rule set
p/defaultGeneral-purpose rules
p/r2c-security-auditTrail of Bits security rules
p/javascriptJavaScript-specific rules
p/typescriptTypeScript-specific rules
p/pythonPython-specific rules
p/golangGo-specific rules

Step 4: SARIF Output Processing

SARIF Structure
{
  "$schema": "https://raw.githubusercontent.com/oasis-tcs/sarif-spec/main/sarif-2.1/schema/sarif-schema-2.1.0.json",
  "version": "2.1.0",
  "runs": [{
    "tool": {
      "driver": {
        "name": "CodeQL",
        "rules": [...]
      }
    },
    "results": [{
      "ruleId": "js/sql-injection",
      "level": "error",
      "message": {
        "text": "This query depends on a user-provided value."
      },
      "locations": [{
        "physicalLocation": {
          "artifactLocation": { "uri": "src/api/users.js" },
          "region": { "startLine": 42, "startColumn": 5 }
        }
      }]
    }]
  }]
}
Parsing SARIF Results
# Count findings by severity
jq '[.runs[].results[] | .level] | group_by(.) | map({level: .[0], count: length})' results.sarif

# List critical/error findings
jq '.runs[].results[] | select(.level == "error") | {rule: .ruleId, file: .locations[0].physicalLocation.artifactLocation.uri, line: .locations[0].physicalLocation.region.startLine, message: .message.text}' results.sarif

# Export findings to CSV
jq -r '.runs[].results[] | [.ruleId, .level, .locations[0].physicalLocation.artifactLocation.uri, .locations[0].physicalLocation.region.startLine, .message.text] | @csv' results.sarif > findings.csv

Step 5: Triage and Reporting

Severity Classification
SARIF LevelSeverityAction Required
errorCRITICAL/HIGHImmediate fix before merge
warningMEDIUMFix within sprint
noteLOWTrack and fix when convenient
noneINFORMATIONALReview and acknowledge
False Positive Assessment

For each finding, evaluate:

  1. Data flow: Does user-controlled data actually reach the sink?
  2. Sanitization: Is input validated/sanitized before use?
  3. Context: Is the vulnerable pattern in test code or production?
  4. Reachability: Can the vulnerable code path be triggered?
  5. Impact: What is the actual exploitability?
Report Template
## Static Analysis Report

**Date**: YYYY-MM-DD
**Tools**: CodeQL vX.X, Semgrep vX.X
**Scope**: [project/directory]

### Summary

| Severity | Count | Fixed | False Positive | Remaining |
| -------- | ----- | ----- | -------------- | --------- |
| CRITICAL | X     | X     | X              | X         |
| HIGH     | X     | X     | X              | X         |
| MEDIUM   | X     | X     | X              | X         |
| LOW      | X     | X     | X              | X         |

### Critical Findings

1. **[Rule ID]**: [Description]
   - File: [path:line]
   - Impact: [description]
   - Remediation: [code fix]

### Recommendations

- [Prioritized list of actions]

Step 6: CI/CD Integration

GitHub Actions Integration
name: Static Analysis
on: [push, pull_request]
jobs:
  codeql:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: github/codeql-action/init@v3
        with:
          languages: javascript
      - uses: github/codeql-action/analyze@v3
        with:
          output: sarif-results
          upload: true

  semgrep:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: returntocorp/semgrep-action@v1
        with:
          config: >-
            p/security-audit
            p/owasp-top-ten
          generateSarif: '1'
      - uses: github/codeql-action/upload-sarif@v3
        with:
          sarif_file: semgrep.sarif

OWASP Mapping

OWASP CategoryCodeQL QueriesSemgrep Rules
A01: Broken Access ControlSecurity/CWE-284p/owasp-top-ten
A02: Cryptographic FailuresSecurity/CWE-327p/secrets
A03: InjectionSecurity/CWE-089, CWE-078p/security-audit
A07: Auth FailuresSecurity/CWE-287p/owasp-top-ten
A09: Logging FailuresSecurity/CWE-117p/security-audit
A10: SSRFSecurity/CWE-918p/owasp-top-ten

Related Skills

Agent Integration

  • security-architect (primary): Security assessments and threat modeling
  • code-reviewer (secondary): Automated code review augmentation
  • penetration-tester (secondary): Vulnerability verification
  • qa (secondary): Quality gate enforcement

Iron Laws

  1. NEVER deploy to production without running both Semgrep and CodeQL analysis
  2. ALWAYS create a fresh CodeQL database — stale databases miss recently added code
  3. NEVER suppress a finding without documenting the false positive rationale in a code comment
  4. ALWAYS block on CRITICAL/HIGH findings in CI/CD; never merge with unresolved critical issues
  5. NEVER run analysis on test/fixture directories — always exclude non-production code paths

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Using outdated CodeQL databaseAnalysis misses code added since last buildAlways create a fresh database before each analysis run
Using generic rule suitesGeneric rules miss language-specific security patternsUse language-specific security suites (e.g., codeql/javascript-queries:Security)
Suppressing findings without rationaleCreates silent security debt and audit gapsDocument false positive reason in code comment before suppressing
Scanning test/fixture codeFalse positives from intentionally vulnerable test codeExclude test/ and fixture/ directories from all scans
Not re-running after fixesRemediation not confirmed; same finding recursAlways re-run analysis after each fix to verify resolution

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md

ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

Snyk + Semgrep MCP Integration

When Snyk MCP server is configured, call directly:

  • snyk_test_project — dependency vulnerability report with CVSS scores
  • snyk_code_test — SAST scan (OWASP Top 10 patterns)
  • snyk_iac_test — IaC security issues (Terraform, K8s, Helm)
  • snyk_monitor — enroll project for continuous monitoring

When semgrep/mcp server is configured:

  • semgrep_scan — run rule registry against codebase
  • semgrep_search — semantic code pattern search
Combined Security Pipeline
semgrep scan --config=auto --json > .claude/context/tmp/semgrep.json
snyk test --json > .claude/context/tmp/snyk.json

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