5d2096fb5d
Implements a comprehensive suite of AI SDK v6 tools across multiple categories: - Research (5): page-brief, compare-pages, source-credibility, claim-checklist, timeline-from-text - Web (10): fetch-text, links-catalog, extract-meta, extract-json-ld, redirect-trace, sitemap-read, rss-read, table-extract, robots-policy, url-normalize - Data (15): csv-parse, csv-stringify, json-repair, json-schema-validate, yaml-parse, yaml-stringify, text-chunk, normalize-whitespace, dedupe-by-key, pivot, rows-filter, rows-sort, rows-group-aggregate, rows-join, schema-infer - Doc (12): toc-generate, glossary-build, faq-from-text, executive-brief, decision-record-adr, prd-outline, acceptance-criteria, style-rewrite - Eng (12): diff-text-unified, env-var-docs-generate, dependency-audit-lite, conventional-commit-suggest, markdown-lint-basic, test-case-generate, stacktrace-parse, release-notes, changelog-entry, release-checklist - Security (7): redact-secrets, secret-scan-text, url-risk-heuristic, csp-compose, hardening-checklist-web, access-control-matrix, data-classification-heuristic - Stats (9): effect-size-suite, bootstrap-ci, permutation-test, multiple-testing-adjust, linear-regression-ols, logistic-regression, time-series-decompose-lite, anomaly-detect-mad - Ops (7): slo-draft, runbook-draft, postmortem-draft, postmortem-action-extractor, error-log-triage, coverage-tracker, monitoring-gap-analysis - Agent (15): prompt-to-workflow-skeleton, workflow-validate-io, workflow-explain, workflow-cost-estimate, tool-call-accuracy-score, eval-fixture-build, guardrail-policy-draft, workflow-auto-repair, tool-selection-plan, novelty-score-workflow, workflow-variant-generate, config-normalize, recipe-* - Utility (8): base64-encode, base64-decode, hash-text, regex-extract, template-render, date-parse, json-path-query, url-parse - HTML (3): html-sanitize, html-to-markdown, markdown-to-html All tools follow AI SDK v6 pattern with tool() and jsonSchema<T>(). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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Data Classification Heuristic Tool
Classifies data sensitivity using pattern-based heuristics to detect PII, financial data, health data, and other sensitive information.
Installation
npm install @tpmjs/tools-data-classification-heuristic
Usage
import { dataClassificationHeuristic } from '@tpmjs/tools-data-classification-heuristic';
const result = await dataClassificationHeuristic.execute({
text: "Contact John Doe at john.doe@example.com or call 555-123-4567. SSN: 123-45-6789"
});
console.log(result);
// {
// classification: 'restricted',
// signals: [
// { type: 'Email', severity: 'medium', description: 'Email address detected', matches: 1 },
// { type: 'Phone', severity: 'medium', description: 'Phone number detected', matches: 1 },
// { type: 'SSN', severity: 'critical', description: 'Social Security Number detected', matches: 1 }
// ],
// confidence: 0.8,
// summary: {
// totalSignals: 3,
// highestSeverity: 'critical',
// categories: ['PII']
// }
// }
Classification Levels
- public - No sensitive data detected, safe for public distribution
- internal - Low-medium sensitivity data, internal use only
- confidential - High sensitivity data, restricted distribution
- restricted - Critical data (SSN, credentials, financial), highly restricted
Detected Patterns
PII (Personal Identifiable Information)
- Social Security Numbers (SSN)
- Email addresses
- Phone numbers
- Dates of birth
- Physical addresses
Financial Data
- Credit card numbers
- Bank account numbers
- Routing numbers
- Salary information
Health Data (HIPAA)
- Medical record numbers
- Diagnoses
- Prescriptions
Government IDs
- Passport numbers
- Driver license numbers
Authentication
- API keys
- Passwords
- Access tokens
Technical
- IP addresses
Output Schema
interface DataClassification {
classification: 'public' | 'internal' | 'confidential' | 'restricted';
signals: Array<{
type: string;
pattern: string;
severity: 'low' | 'medium' | 'high' | 'critical';
description: string;
matches?: number;
}>;
confidence: number; // 0-1 scale
summary: {
totalSignals: number;
highestSeverity: string;
categories: string[];
};
}
Use Cases
- Data Loss Prevention (DLP) - Scan documents before sharing
- Compliance Auditing - Identify sensitive data in databases
- Email Filtering - Classify email content sensitivity
- Document Review - Automatically classify documents for access control
- Privacy Impact Assessment - Detect PII in data processing activities
Limitations
- Heuristic-based detection (pattern matching only)
- May produce false positives (e.g., random number sequences)
- Does not understand context or semantic meaning
- Should be used as a first-pass filter, not definitive classification
- Cannot detect all types of sensitive data (e.g., trade secrets require domain knowledge)
License
MIT