external/anthropic-cybersecurity-skills/skills/implementing-semgrep-for-custom-sast-rules/SKILL.md
Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines.
npx skillsauth add seikaikyo/dash-skills implementing-semgrep-for-custom-sast-rulesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
# 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
# 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 .
# 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,))
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
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"]
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"]
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.*"
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"]
# 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
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
semgrep:
stage: test
image: returntocorp/semgrep
script:
- semgrep --config auto --config ./custom-rules/ --json --output semgrep.json .
artifacts:
reports:
sast: semgrep.json
# .semgrep.yaml
rules:
- id: my-org-rules
# ... rules here
# .semgrepignore
tests/
node_modules/
vendor/
*.min.js
# ruleid: and # ok: annotationsfix key where possibledevelopment
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
testing
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