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無料Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
日本語の概要は準備中です。原文の説明を表示しています。
Implement data handling for Adobe APIs including PII redaction in logs, Firefly content policy compliance, PDF document data classification, and GDPR/CCPA data subject access requests via Adobe Privacy Service. Trigger with phrases like "adobe data", "adobe PII", "adobe GDPR", "adobe data retention", "adobe privacy", "adobe content policy".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Handle sensitive data correctly when integrating with Adobe APIs. Key concerns include Firefly content policy compliance, PII in PDF extraction results, credential redaction in logs, and GDPR/CCPA compliance using Adobe Privacy Service API.
| Category | Examples | Handling |
|---|---|---|
| Credentials | client_secret, access tokens | Never log; rotate regularly |
| User Content | Uploaded images, PDFs | Encrypt at rest; delete per retention policy |
| Generated Content | Firefly outputs, processed PDFs | Time-limited URLs (24h); cache intentionally |
| Extraction Results | PDF text, tables, structured data | May contain PII; scan and redact |
| API Metadata | Job IDs, request IDs, timestamps | Safe to log; useful for debugging |
PDF Extract API returns raw text that may contain customer PII:
// src/adobe/pii-scanner.ts
const PII_PATTERNS = [
{ type: 'email', regex: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g },
{ type: 'phone', regex: /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g },
{ type: 'ssn', regex: /\b\d{3}-\d{2}-\d{4}\b/g },
{ type: 'credit_card', regex: /\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b/g },
];
interface PiiFinding {
type: string;
count: number;
// Never store the actual PII value
}
export function scanForPii(text: string): PiiFinding[] {
return PII_PATTERNS
.map(pattern => {
const matches = text.matchAll(pattern.regex);
const count = [...matches].length;
return count > 0 ? { type: pattern.type, count } : null;
})
.filter(Boolean) as PiiFinding[];
}
export function redactPii(text: string): string {
let redacted = text;
for (const pattern of PII_PATTERNS) {
redacted = redacted.replace(pattern.regex, `[REDACTED-${pattern.type.toUpperCase()}]`);
}
return redacted;
}
// Usage after PDF extraction
const extracted = await extractPdfContent('customer-form.pdf');
const piiFindings = scanForPii(extracted.text);
if (piiFindings.length > 0) {
console.warn('PII detected in extraction:', piiFindings);
// Store redacted version, or encrypt at rest
const safeText = redactPii(extracted.text);
}
Firefly API has built-in content guardrails. Handle policy rejections gracefully:
// src/adobe/content-policy.ts
// Pre-screen prompts before sending to Firefly
const BLOCKED_PATTERNS = [
/\b(person|celebrity|actor|politician)\b/i,
/\b(nike|apple|google|disney|marvel)\b/i, // Trademarks
/\b(nude|explicit|violent|gore)\b/i,
];
export function validatePrompt(prompt: string): { valid: boolean; reason?: string } {
for (const pattern of BLOCKED_PATTERNS) {
if (pattern.test(prompt)) {
return {
valid: false,
reason: `Prompt may violate Firefly content policy: matches "${pattern.source}"`,
};
}
}
return { valid: true };
}
// Handle Firefly content policy rejection
export function handleContentPolicyError(error: any): string {
if (error.status === 400 && error.message?.includes('content policy')) {
return 'Prompt rejected by Adobe Firefly content policy. ' +
'Remove references to real people, trademarks, or explicit content.';
}
throw error;
}
// src/adobe/safe-logger.ts
import pino from 'pino';
const logger = pino({
name: 'adobe',
redact: {
paths: [
'clientSecret',
'client_secret',
'access_token',
'accessToken',
'req.headers.authorization',
'req.headers["x-api-key"]',
],
censor: '[REDACTED]',
},
});
// Safe request logging — only log metadata, never credentials
export function logAdobeRequest(entry: {
api: string;
operation: string;
durationMs: number;
httpStatus: number;
jobId?: string;
requestId?: string; // From x-request-id response header
}) {
logger.info(entry, `adobe.${entry.api}.${entry.operation}`);
}
Adobe provides a Privacy Service API for data subject access and deletion requests:
// GDPR Data Subject Access Request
export async function submitPrivacyRequest(
userId: string,
requestType: 'access' | 'delete'
): Promise<{ jobId: string }> {
const token = await getAccessToken();
const response = await fetch(
'https://platform.adobe.io/data/core/privacy/jobs',
{
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`,
'x-api-key': process.env.ADOBE_CLIENT_ID!,
'x-gw-ims-org-id': process.env.ADOBE_IMS_ORG_ID!,
'Content-Type': 'application/json',
},
body: JSON.stringify({
companyContexts: [{
namespace: 'imsOrgID',
value: process.env.ADOBE_IMS_ORG_ID,
}],
users: [{
key: userId,
action: [requestType],
userIDs: [{
namespace: 'email',
value: userId,
type: 'standard',
}],
}],
regulation: 'gdpr', // or 'ccpa'
}),
}
);
const result = await response.json();
return { jobId: result.jobId };
}
| Data Type | Retention | Reason |
|---|---|---|
| Firefly generated images | URLs expire 24h; cache intentionally | Adobe auto-expires |
| PDF extraction results | 30 days | Debugging |
| API access tokens | 24 hours (auto-expire) | Adobe IMS TTL |
| Error logs with request IDs | 90 days | Root cause analysis |
| Audit logs (who accessed what) | 7 years | Compliance |
| Issue | Cause | Solution |
|---|---|---|
| PII in extraction output | Raw PDF content | Apply redactPii() before storage |
| Firefly prompt rejected | Content policy | Pre-screen with validatePrompt() |
| Credentials in logs | Missing redaction | Configure pino redact paths |
| Privacy request failed | Missing org ID | Set ADOBE_IMS_ORG_ID env var |
For enterprise access control, see adobe-enterprise-rbac.
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概要と使いどころ
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
日本語の概要は準備中です。原文の説明を表示しています。
Guides the creation of agile user stories and Gherkin feature files. Use when the user wants to create a user story, write acceptance criteria, define Gherkin scenarios, or author BDD feature files. This should trigger for requests such as Create a user story; Write a user story; I need to write a user story. Part of cursor-rules-java project
日本語の概要は準備中です。原文の説明を表示しています。
Facilitates conversational discovery to create Architectural Decision Records (ADRs) for non-functional requirements using the ISO/IEC 25010:2023 quality model. Use when the user wants to document quality attributes, NFR decisions, security/performance/scalability architecture, or design systems with measurable quality criteria. This should trigger for requests such as Create ADR for Non-functional requirements; Document Non-functional requirements; Capture Non-functional requirements; Generate Non-functional requirements in an ADR. Part of cursor-rules-java project
日本語の概要は準備中です。原文の説明を表示しています。
Run a health check on an existing project: dependency audit, security scan, test runner detection, CI/CD evaluation, and missing configuration analysis. Maps the three execution gates (pre/in/post) from /10x-bootstrapper to an assessment framework for existing codebases. Reads optional context/foundation/stack-assessment.md from /10x-stack-assess to focus checks on identified gaps. Writes context/foundation/health-check.md with findings, prioritized fixes, and an agent-readiness verdict. Use when the user has an existing project and wants to verify its health before working with an agent. Trigger phrases: "health check", "check my project", "audit my project", "is my project healthy", "sprawdź projekt", "audyt projektu", "health-check", "project health". Use AFTER /10x-stack-assess (brownfield chain), BEFORE agent onboarding (m1-l4).
日本語の概要は準備中です。原文の説明を表示しています。
You MUST use this when building projects end-to-end. Orchestrates all 12 team roles — automatically switches between CTO, architect, PM, engineers, SRE, security, DBA, QA, and EM based on the current phase of work. Starts with brainstorming before any implementation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need to add or configure Maven plugins in your pom.xml — including quality tools (enforcer, surefire, failsafe, jacoco, pitest, spotbugs, pmd), security scanning (OWASP), code formatting (Spotless), version management, container image build (Jib), build information tracking, and benchmarking (JMH) — through a consultative, modular step-by-step approach that only adds what you actually need. This should trigger for requests such as Add Maven plugins in pom.xml; Improve Maven plugins in pom.xml. Part of cursor-rules-java project
日本語の概要は準備中です。原文の説明を表示しています。