sentry-data-handling
Implements PII scrubbing, data retention, and GDPR controls for Sentry error monitoring.
Install
mkdir -p .claude/skills/sentry-data-handling && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8963" && unzip -o skill.zip -d .claude/skills/sentry-data-handling && rm skill.zipInstalls to .claude/skills/sentry-data-handling
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Configure GDPR-compliant data handling, PII scrubbing, and dataKey capabilities
- →Configure client-side PII scrubbing with `beforeSend` hooks
- →Implement server-side data scrubbing rules
- →Anonymize IP addresses in Sentry events
- →Handle data subject deletion requests via API
- →Implement SOC 2 audit controls
How it works
This skill configures client-side PII scrubbing using `beforeSend` hooks to strip sensitive data from headers, request bodies, error messages, and user context before events leave the application. It also covers server-side scrubbing and GDPR compliance.
Inputs & outputs
When to use sentry-data-handling
- →Implementing PII scrubbing
- →Configuring GDPR compliance
- →Setting data retention policies
About this skill
Sentry Data Handling
Configure PII scrubbing, GDPR compliance, data retention, and audit controls for Sentry. This skill covers client-side filtering with beforeSend, server-side scrubbing rules, data subject erasure via API, and SOC 2 compliance patterns.
Overview
Sentry captures error context that often contains personally identifiable information (PII) — emails in stack traces, credit card numbers in request bodies, IP addresses in headers. Production deployments must scrub this data at two layers: client-side via beforeSend hooks (before data leaves the application) and server-side via Sentry's built-in Data Scrubber (defense in depth). GDPR requires additional controls: consent-based initialization, data subject deletion endpoints, and a signed Data Processing Agreement. This skill implements all three layers with TypeScript and Python examples, plus verification tests to prove scrubbing works end-to-end.
Prerequisites
- Sentry SDK v8 installed and initialized (
@sentry/nodeorsentry-sdk) - Sentry project with Admin or Owner role (required for Security & Privacy settings)
- Compliance requirements documented (GDPR, HIPAA, PCI-DSS, or SOC 2)
- Auth token with
project:writeandorg:adminscopes for API operations - Data Processing Agreement signed at https://sentry.io/legal/dpa/ (GDPR requirement)
Instructions
Step 1 — Client-Side PII Scrubbing with beforeSend
The first defense layer prevents PII from leaving your application. Configure beforeSend, beforeSendTransaction, and beforeBreadcrumb hooks during SDK initialization:
import * as Sentry from '@sentry/node';
Sentry.init({
dsn: process.env.SENTRY_DSN,
// CRITICAL: disable automatic PII collection
// When false, Sentry will NOT capture IP addresses, cookies, or user-agent
sendDefaultPii: false,
beforeSend(event) {
return scrubEvent(event);
},
beforeSendTransaction(event) {
return scrubEvent(event);
},
beforeBreadcrumb(breadcrumb) {
if (breadcrumb.data) {
const sensitiveKeys = ['password', 'token', 'secret', 'api_key', 'authorization'];
for (const key of sensitiveKeys) {
if (breadcrumb.data[key]) {
breadcrumb.data[key] = '[REDACTED]';
}
}
}
return breadcrumb;
},
});
Implement the scrubEvent function to strip PII from headers, request bodies, error messages, and user context:
function scrubEvent(event: Sentry.Event): Sentry.Event | null {
// Strip sensitive headers
if (event.request?.headers) {
const redactHeaders = ['Authorization', 'Cookie', 'X-Api-Key', 'X-Auth-Token'];
for (const header of redactHeaders) {
delete event.request.headers[header];
}
}
// Scrub request body fields
if (event.request?.data) {
const data = typeof event.request.data === 'string'
? safeJsonParse(event.request.data)
: event.request.data;
if (data && typeof data === 'object') {
scrubObject(data as Record<string, unknown>);
event.request.data = JSON.stringify(data);
}
}
// Scrub PII patterns from error messages
if (event.exception?.values) {
for (const exc of event.exception.values) {
if (exc.value) {
exc.value = scrubPiiPatterns(exc.value);
}
}
}
// Reduce user context to anonymous ID only
if (event.user) {
event.user = { id: event.user.id };
}
return event;
}
function scrubObject(obj: Record<string, unknown>): void {
const sensitiveKeys = [
'password', 'passwd', 'secret', 'token', 'api_key', 'apiKey',
'ssn', 'social_security', 'credit_card', 'cc_number', 'cvv',
'email', 'phone', 'address', 'dob', 'date_of_birth',
];
for (const key of Object.keys(obj)) {
if (sensitiveKeys.some(sk => key.toLowerCase().includes(sk))) {
obj[key] = '[REDACTED]';
} else if (typeof obj[key] === 'string') {
obj[key] = scrubPiiPatterns(obj[key] as string);
} else if (typeof obj[key] === 'object' && obj[key] !== null) {
scrubObject(obj[key] as Record<string, unknown>);
}
}
}
function scrubPiiPatterns(str: string): string {
return str
.replace(/[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g, '[EMAIL]')
.replace(/\b\d{4}[\s-]?\d{4}[\s-]?\d{4}[\s-]?\d{1,7}\b/g, '[CC_NUMBER]')
.replace(/\b\d{3}-\d{2}-\d{4}\b/g, '[SSN]')
.replace(/\b(\+1)?[\s-]?\(?\d{3}\)?[\s-]?\d{3}[\s-]?\d{4}\b/g, '[PHONE]');
}
function safeJsonParse(str: string): unknown {
try { return JSON.parse(str); } catch { return null; }
}
Python equivalent — use the same before_send pattern:
import sentry_sdk
import re
def scrub_event(event, hint):
"""Remove PII from Sentry events before transmission."""
# Strip sensitive headers
request = event.get("request", {})
headers = request.get("headers", {})
for key in ["Authorization", "Cookie", "X-Api-Key"]:
headers.pop(key, None)
# Scrub user context to anonymous ID
user = event.get("user")
if user:
event["user"] = {"id": user.get("id")}
# Scrub PII patterns from exception messages
for exc in event.get("exception", {}).get("values", []):
if exc.get("value"):
exc["value"] = re.sub(
r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}",
"[EMAIL]", exc["value"]
)
return event
sentry_sdk.init(
dsn=os.environ["SENTRY_DSN"],
send_default_pii=False,
before_send=scrub_event,
traces_sample_rate=0.1,
)
Step 2 — Server-Side Data Scrubbing and IP Anonymization
Server-side scrubbing acts as defense in depth. Configure in Project Settings > Security & Privacy:
- Enable Data Scrubber — automatically redacts values matching common PII field names (password, token, secret)
- Custom Sensitive Fields — add project-specific fields:
password,secret,token,api_key,ssn,credit_card,cvv,authorization
- Safe Fields — fields that must never be scrubbed:
transaction_id,order_id,request_id,trace_id
- Scrub IP Addresses — enable to remove client IPs from all events
- Scrub Credit Cards — detect and remove card number patterns
For advanced regex-based rules, navigate to Project Settings > Security & Privacy > Advanced Data Scrubbing:
# Remove credit card patterns from all string fields
[Remove] [Regex: \d{4}-\d{4}-\d{4}-\d{4}] from [$string]
# Remove email addresses everywhere
[Remove] [Regex: \b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,}\b] from [$string]
# Remove SSN patterns
[Remove] [Regex: \b\d{3}-\d{2}-\d{4}\b] from [$string]
# Mask passwords in request bodies
[Mask] [Password] from [extra.request_body]
# Replace credit card data everywhere with placeholder
[Replace] [Credit card] with [REDACTED] from [**]
Data forwarding — if forwarding events to external systems (Splunk, BigQuery), apply the same scrubbing rules at the destination. Configure forwarding in Project Settings > Data Forwarding.
Data retention — configure in Organization Settings > Subscription > Data Retention:
| Plan | Default retention | Maximum retention |
|---|---|---|
| Developer | 30 days | 30 days |
| Team | 90 days | 90 days |
| Business | 90 days | 365 days |
| Enterprise | 90 days | Custom |
Step 3 — GDPR Compliance and Data Subject Requests
Right to be Informed — document Sentry usage in your privacy policy. Disclose what data is collected (stack traces, device info, anonymized user IDs) and the legal basis (legitimate interest in application reliability).
Consent-based initialization — for strict GDPR compliance, gate Sentry on user consent:
function initSentryWithConsent(hasConsent: boolean): void {
if (!hasConsent) {
// Do not initialize Sentry — no data sent
return;
}
Sentry.init({
dsn: process.env.SENTRY_DSN,
sendDefaultPii: false,
beforeSend: scrubEvent,
});
}
Right to Erasure (Article 17) — delete user data via the Sentry API:
# Delete all events for a specific issue
curl -X DELETE \
-H "Authorization: Bearer ${SENTRY_AUTH_TOKEN}" \
"https://sentry.io/api/0/projects/${SENTRY_ORG}/${SENTRY_PROJECT}/issues/${ISSUE_ID}/" \
|| { echo "ERROR: Deletion failed — verify auth token has project:admin scope"; exit 1; }
// Programmatic deletion for data subject requests
async function handleDeletionRequest(userId: string): Promise<void> {
const org = process.env.SENTRY_ORG;
const project = process.env.SENTRY_PROJECT;
const token = process.env.SENTRY_AUTH_TOKEN;
// Search for issues containing user data
const searchRes = await fetch(
`https://sentry.io/api/0/projects/${org}/${project}/issues/?query=user.id:${userId}`,
{ headers: { Authorization: `Bearer ${token}` } }
);
if (!searchRes.ok) {
throw new Error(`Search failed: ${searchRes.status} ${searchRes.statusText}`);
}
const issues = await searchRes.json();
// Delete each matching issue
for (const issue of issues) {
const deleteRes = await fetch(
`https://sentry.io/api/0/projects/${org}/${project}/issues/${issue.id}/`,
{ method: 'DELETE', headers: { Authorization: `Bearer ${token}` } }
);
if (!deleteRes.ok) {
throw new Error(`Deletion failed for issue ${issue.id}: ${deleteRes.status}`);
}
}
console.log(`Deleted ${issues.length} issues for user ${userId}`);
}
Audit log access — Business and Enterprise plans provide audit logs at Organization Settings > Audit Log. Export via API for SOC 2 evidence:
# Retrieve audit log entries (requires org:admin scope)
curl -H "Authorization: Bearer ${SENTRY_AUTH_TOKEN}" \
"https://sentry.io/api/0/organizations/${SENTRY_ORG}/audit-logs/" \
|| echo "ERROR: Audit logs require Business or Enterprise plan"
SOC 2 compliance checklist:
- Enable audit logging (Business/Enterprise plan required)
- Co
Content truncated.
Prerequisites
How it compares
This skill automates the configuration of multi-layered PII scrubbing and GDPR compliance in Sentry, unlike manually implementing each data handling step.
Compared to similar skills
sentry-data-handling side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| sentry-data-handling (this skill) | 0 | 25d | Caution | Advanced |
| sentry-multi-env-setup | 2 | 25d | Review | Intermediate |
| security-header-generator | 5 | 9mo | Caution | Intermediate |
| backend-security-coder | 24 | 4mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by jeremylongshore
View all by jeremylongshore →You might also like
sentry-multi-env-setup
jeremylongshore
Configure Sentry across multiple environments. Use when setting up Sentry for dev/staging/production, managing environment-specific configurations, or isolating data. Trigger with phrases like "sentry environments", "sentry staging setup", "multi-environment sentry", "sentry dev vs prod".
security-header-generator
Dexploarer
Generates security HTTP headers (CSP, HSTS, CORS, etc.) for web applications to prevent common attacks. Use when user asks to "add security headers", "setup CSP", "configure CORS", "secure headers", or "HSTS setup".
backend-security-coder
sickn33
Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews.
security-best-practices
openai
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.
dependency-auditor
alirezarezvani
Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments. Alerts on vulnerable dependencies. Triggers on dependency file changes, deployment prep, security mentions.
command-injection-testing
Ed1s0nZ
命令注入漏洞测试的专业技能和方法论