semgrep-rule-creator

Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.

31,392 stars

Best use case

semgrep-rule-creator is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.

Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "semgrep-rule-creator" skill to help with this workflow task. Context: Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/semgrep-rule-creator/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/semgrep-rule-creator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/semgrep-rule-creator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How semgrep-rule-creator Compares

Feature / Agentsemgrep-rule-creatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Semgrep Rule Creator

Create production-quality Semgrep rules with proper testing and validation.

## When to Use
**Ideal scenarios:**
- Writing Semgrep rules for specific bug patterns
- Writing rules to detect security vulnerabilities in your codebase
- Writing taint mode rules for data flow vulnerabilities
- Writing rules to enforce coding standards

## When NOT to Use

Do NOT use this skill for:
- Running existing Semgrep rulesets
- General static analysis without custom rules (use `static-analysis` skill)

## Rationalizations to Reject

When writing Semgrep rules, reject these common shortcuts:

- **"The pattern looks complete"** → Still run `semgrep --test --config <rule-id>.yaml <rule-id>.<ext>` to verify. Untested rules have hidden false positives/negatives.
- **"It matches the vulnerable case"** → Matching vulnerabilities is half the job. Verify safe cases don't match (false positives break trust).
- **"Taint mode is overkill for this"** → If data flows from user input to a dangerous sink, taint mode gives better precision than pattern matching.
- **"One test is enough"** → Include edge cases: different coding styles, sanitized inputs, safe alternatives, and boundary conditions.
- **"I'll optimize the patterns first"** → Write correct patterns first, optimize after all tests pass. Premature optimization causes regressions.
- **"The AST dump is too complex"** → The AST reveals exactly how Semgrep sees code. Skipping it leads to patterns that miss syntactic variations.

## Anti-Patterns

**Too broad** - matches everything, useless for detection:
```yaml
# BAD: Matches any function call
pattern: $FUNC(...)

# GOOD: Specific dangerous function
pattern: eval(...)
```

**Missing safe cases in tests** - leads to undetected false positives:
```python
# BAD: Only tests vulnerable case
# ruleid: my-rule
dangerous(user_input)

# GOOD: Include safe cases to verify no false positives
# ruleid: my-rule
dangerous(user_input)

# ok: my-rule
dangerous(sanitize(user_input))

# ok: my-rule
dangerous("hardcoded_safe_value")
```

**Overly specific patterns** - misses variations:
```yaml
# BAD: Only matches exact format
pattern: os.system("rm " + $VAR)

# GOOD: Matches all os.system calls with taint tracking
mode: taint
pattern-sinks:
  - pattern: os.system(...)
```

## Strictness Level

This workflow is **strict** - do not skip steps:
- **Read documentation first**: See [Documentation](#documentation) before writing Semgrep rules
- **Test-first is mandatory**: Never write a rule without tests
- **100% test pass is required**: "Most tests pass" is not acceptable
- **Optimization comes last**: Only simplify patterns after all tests pass
- **Avoid generic patterns**: Rules must be specific, not match broad patterns
- **Prioritize taint mode**: For data flow vulnerabilities
- **One YAML file - one Semgrep rule**: Each YAML file must contain only one Semgrep rule; don't combine multiple rules in a single file
- **No generic rules**: When targeting a specific language for Semgrep rules - avoid generic pattern matching (`languages: generic`)
- **Forbidden `todook` and `todoruleid` test annotations**: `todoruleid: <rule-id>` and `todook: <rule-id>` annotations in tests files for future rule improvements are forbidden

## Overview

This skill guides creation of Semgrep rules that detect security vulnerabilities and code patterns. Rules are created iteratively: analyze the problem, write tests first, analyze AST structure, write the rule, iterate until all tests pass, optimize the rule.

**Approach selection:**
- **Taint mode** (prioritize): Data flow issues where untrusted input reaches dangerous sinks
- **Pattern matching**: Simple syntactic patterns without data flow requirements

**Why prioritize taint mode?** Pattern matching finds syntax but misses context. A pattern `eval($X)` matches both `eval(user_input)` (vulnerable) and `eval("safe_literal")` (safe). Taint mode tracks data flow, so it only alerts when untrusted data actually reaches the sink—dramatically reducing false positives for injection vulnerabilities.

**Iterating between approaches:** It's okay to experiment. If you start with taint mode and it's not working well (e.g., taint doesn't propagate as expected, too many false positives/negatives), switch to pattern matching. Conversely, if pattern matching produces too many false positives on safe cases, try taint mode instead. The goal is a working rule—not rigid adherence to one approach.

**Output structure** - exactly 2 files in a directory named after the rule-id:
```
<rule-id>/
├── <rule-id>.yaml     # Semgrep rule
└── <rule-id>.<ext>    # Test file with ruleid/ok annotations
```

## Quick Start

```yaml
rules:
  - id: insecure-eval
    languages: [python]
    severity: HIGH
    message: User input passed to eval() allows code execution
    mode: taint
    pattern-sources:
      - pattern: request.args.get(...)
    pattern-sinks:
      - pattern: eval(...)
```

Test file (`insecure-eval.py`):
```python
# ruleid: insecure-eval
eval(request.args.get('code'))

# ok: insecure-eval
eval("print('safe')")
```

Run tests (from rule directory): `semgrep --test --config <rule-id>.yaml <rule-id>.<ext>`

## Quick Reference

- For commands, pattern operators, and taint mode syntax, see quick-reference.md.
- For detailed workflow and examples, you MUST see workflow.md

## Workflow

Copy this checklist and track progress:

```
Semgrep Rule Progress:
- [ ] Step 1: Analyze the Problem
- [ ] Step 2: Write Tests First
- [ ] Step 3: Analyze AST structure
- [ ] Step 4: Write the rule
- [ ] Step 5: Iterate until all tests pass (semgrep --test)
- [ ] Step 6: Optimize the rule (remove redundancies, re-test)
- [ ] Step 7: Final Run
```

## Documentation

**REQUIRED**: Before writing any rule, use WebFetch to read **all** of these 4 links with Semgrep documentation:

1. [Rule Syntax](https://semgrep.dev/docs/writing-rules/rule-syntax)
2. [Pattern Syntax](https://semgrep.dev/docs/writing-rules/pattern-syntax)
3. [ToB Testing Handbook - Semgrep](https://appsec.guide/docs/static-analysis/semgrep/advanced/)
4. [Constant propagation](https://semgrep.dev/docs/writing-rules/data-flow/constant-propagation)
5. [Writing Rules Index](https://github.com/semgrep/semgrep-docs/tree/main/docs/writing-rules/)

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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