implementing-semgrep-for-custom-sast-rules▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines.
| name | implementing-semgrep-for-custom-sast-rules |
| description | Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines. |
| domain | cybersecurity |
| subdomain | devsecops |
| tags | - semgrep - sast - static-analysis - custom-rules - devsecops - code-security |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.PS-01 - GV.SC-07 - ID.IM-04 - PR.PS-04 |
Implementing Semgrep for Custom SAST Rules
Overview
Semgrep is an open-source static analysis tool that uses pattern-matching to find bugs, enforce code standards, and detect security vulnerabilities. Custom rules are written in YAML using Semgrep's pattern syntax, making it accessible without requiring compiler knowledge. It supports 30+ languages including Python, JavaScript, Go, Java, and C.
When to Use
- When deploying or configuring implementing semgrep for custom sast rules capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Python 3.8+ or Docker
- Semgrep CLI installed
- Target codebase in a supported language
Installation
# Install via pip
pip install semgrep
# Install via Homebrew
brew install semgrep
# Run via Docker
docker run -v "${PWD}:/src" returntocorp/semgrep semgrep --config auto /src
# Verify
semgrep --version
Running Semgrep
# Auto-detect rules for your code
semgrep --config auto .
# Use Semgrep registry rules
semgrep --config r/python.lang.security
# Use custom rule file
semgrep --config my-rules.yaml .
# Use multiple configs
semgrep --config auto --config ./custom-rules/ .
# JSON output
semgrep --config auto --json . > results.json
# SARIF output for GitHub
semgrep --config auto --sarif . > results.sarif
# Filter by severity
semgrep --config auto --severity ERROR .
Writing Custom Rules
Basic Pattern Matching
# rules/sql-injection.yaml
rules:
- id: sql-injection-string-format
languages: [python]
severity: ERROR
message: |
Potential SQL injection via string formatting.
Use parameterized queries instead.
pattern: |
cursor.execute(f"..." % ...)
metadata:
cwe: ["CWE-89"]
owasp: ["A03:2021"]
category: security
fix: |
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
Pattern Operators
rules:
- id: hardcoded-secret-in-code
languages: [python, javascript, typescript]
severity: ERROR
message: Hardcoded secret detected in source code
patterns:
- pattern-either:
- pattern: $VAR = "..."
- pattern: $VAR = '...'
- metavariable-regex:
metavariable: $VAR
regex: (?i)(password|secret|api_key|token|aws_secret)
- pattern-not: $VAR = ""
- pattern-not: $VAR = "changeme"
- pattern-not: $VAR = "PLACEHOLDER"
metadata:
cwe: ["CWE-798"]
category: security
Taint Analysis
rules:
- id: xss-taint-tracking
languages: [python]
severity: ERROR
message: User input flows to HTML response without sanitization
mode: taint
pattern-sources:
- pattern: request.args.get(...)
- pattern: request.form.get(...)
- pattern: request.form[...]
pattern-sinks:
- pattern: return render_template_string(...)
- pattern: Markup(...)
pattern-sanitizers:
- pattern: bleach.clean(...)
- pattern: escape(...)
metadata:
cwe: ["CWE-79"]
owasp: ["A03:2021"]
Multiple Language Rule
rules:
- id: insecure-random
languages: [python, javascript, go, java]
severity: WARNING
message: |
Using insecure random number generator. Use cryptographically
secure alternatives for security-sensitive operations.
pattern-either:
# Python
- pattern: random.random()
- pattern: random.randint(...)
# JavaScript
- pattern: Math.random()
# Go
- pattern: math/rand.Intn(...)
# Java
- pattern: new java.util.Random()
metadata:
cwe: ["CWE-330"]
Enforce Coding Standards
rules:
- id: require-error-handling
languages: [go]
severity: WARNING
message: Error return value not checked
pattern: |
$VAR, _ := $FUNC(...)
fix: |
$VAR, err := $FUNC(...)
if err != nil {
return fmt.Errorf("$FUNC failed: %w", err)
}
- id: no-console-log-in-production
languages: [javascript, typescript]
severity: WARNING
message: Remove console.log before merging to production
pattern: console.log(...)
paths:
exclude:
- "tests/*"
- "*.test.*"
JWT Security Rules
rules:
- id: jwt-none-algorithm
languages: [python]
severity: ERROR
message: JWT decoded without algorithm verification - allows token forgery
patterns:
- pattern: jwt.decode($TOKEN, ..., algorithms=["none"], ...)
metadata:
cwe: ["CWE-347"]
- id: jwt-no-verification
languages: [python]
severity: ERROR
message: JWT decoded with verification disabled
patterns:
- pattern: jwt.decode($TOKEN, ..., options={"verify_signature": False}, ...)
metadata:
cwe: ["CWE-345"]
Rule Testing
# rules/test-sql-injection.yaml
rules:
- id: sql-injection-format-string
languages: [python]
severity: ERROR
message: SQL injection via format string
pattern: |
cursor.execute(f"...{$VAR}...")
# Test annotation in test file:
# test-sql-injection.py
def bad_query(user_id):
# ruleid: sql-injection-format-string
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")
def good_query(user_id):
# ok: sql-injection-format-string
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
# Run rule tests
semgrep --test rules/
# Test specific rule
semgrep --config rules/sql-injection.yaml --test
CI/CD Integration
GitHub Actions
name: Semgrep SAST
on: [pull_request]
jobs:
semgrep:
runs-on: ubuntu-latest
container:
image: returntocorp/semgrep
steps:
- uses: actions/checkout@v4
- name: Run Semgrep
run: |
semgrep --config auto \
--config ./custom-rules/ \
--sarif --output results.sarif \
--severity ERROR \
.
- name: Upload SARIF
uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: results.sarif
GitLab CI
semgrep:
stage: test
image: returntocorp/semgrep
script:
- semgrep --config auto --config ./custom-rules/ --json --output semgrep.json .
artifacts:
reports:
sast: semgrep.json
Configuration File
# .semgrep.yaml
rules:
- id: my-org-rules
# ... rules here
# .semgrepignore
tests/
node_modules/
vendor/
*.min.js
Best Practices
- Start with auto config then add custom rules for org-specific patterns
- Test rules with
# ruleid:and# ok:annotations - Use taint mode for data flow vulnerabilities (XSS, SQLi, SSRF)
- Include metadata (CWE, OWASP) for vulnerability classification
- Provide fix suggestions with the
fixkey where possible - Exclude test files to reduce false positives
- Version control rules in a shared repository
- Run in CI as a blocking check for ERROR severity findings
How to use implementing-semgrep-for-custom-sast-rules on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add implementing-semgrep-for-custom-sast-rules
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches implementing-semgrep-for-custom-sast-rules from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate implementing-semgrep-for-custom-sast-rules. Access the skill through slash commands (e.g., /implementing-semgrep-for-custom-sast-rules) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★34 reviews- ★★★★★Soo Khanna· Dec 24, 2024
implementing-semgrep-for-custom-sast-rules fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 20, 2024
Useful defaults in implementing-semgrep-for-custom-sast-rules — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aanya Patel· Dec 20, 2024
I recommend implementing-semgrep-for-custom-sast-rules for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Rahman· Nov 15, 2024
implementing-semgrep-for-custom-sast-rules is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Nov 11, 2024
implementing-semgrep-for-custom-sast-rules has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Lucas Agarwal· Nov 11, 2024
Solid pick for teams standardizing on skills: implementing-semgrep-for-custom-sast-rules is focused, and the summary matches what you get after install.
- ★★★★★Hiroshi Garcia· Oct 6, 2024
Keeps context tight: implementing-semgrep-for-custom-sast-rules is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Oct 2, 2024
Solid pick for teams standardizing on skills: implementing-semgrep-for-custom-sast-rules is focused, and the summary matches what you get after install.
- ★★★★★Ama Li· Oct 2, 2024
implementing-semgrep-for-custom-sast-rules has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aarav Chen· Sep 25, 2024
I recommend implementing-semgrep-for-custom-sast-rules for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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