Skill: andreolf/refund-radar (version 1.0.1)

--- name: refund-radar description: Scan bank statements to detect recurring charges, flag suspicious transactions, and draft refund requests with interactive HTML reports. --- # refund-radar Scan bank statements to detect recurring charges, flag suspicious transactions, identify duplicates and fees, draft refund request templates, and generate an interactive HTML audit report. ## Triggers - "scan my bank statement for refunds" - "analyze my credit card transactions" - "find recurring charges in my statement" - "check for duplicate or suspicious charges" - "help me dispute a charge" - "generate a refund request" - "audit my subscriptions" ## Workflow ### 1. Get Transaction Data Ask user for bank/card CSV export or pasted text. Common sources: - Apple Card: Wallet → Card Balance → Export - Chase: Accounts → Download activity → CSV - Mint: Transactions → Export - Any bank: Download as CSV from transaction history Or accept pasted text format: ``` 2026-01-03 Spotify -11.99 USD 2026-01-15 Salary +4500 USD ``` ### 2. Parse and Normalize Run the parser on their data: ```bash python -m refund_radar analyze --csv statement.csv --month 2026-01 ``` Or for pasted text: ```bash python -m refund_radar analyze --stdin --month 2026-01 --default-currency USD ``` The parser auto-detects: - Delimiter (comma, semicolon, tab) - Date format (YYYY-MM-DD, DD/MM/YYYY, MM/DD/YYYY) - Amount format (single column or debit/credit) - Currency ### 3. Review Recurring Charges Tool identifies recurring subscriptions by: - Same merchant >= 2 times in 90 days - Similar amounts (within 5% or $2) - Consistent cadence (weekly, monthly, yearly) - Known subscription keywords (Netflix, Spotify, etc.) Output shows: - Merchant name - Average amount and cadence - Last charge date - Next expected charge ### 4. Flag Suspicious Charges Tool automatically flags: | Flag Type | Trigger | Severity | |-----------|---------|----------| | Duplicate | Same merchant + amount within 2 days | HIGH | | Amount Spike | > 1.8x baseline, delta > $25 | HIGH | | New Merchant | First time + amount > $30 | MEDIUM | | Fee-like | Keywords (FEE, ATM, OVERDRAFT) + > $3 | LOW | | Currency Anomaly | Unusual currency or DCC | LOW | ### 5. Clarify with User For flagged items, ask in batches of 5-10: - Is this charge legitimate? - Should I mark this merchant as expected? - Do you want a refund template for this? Update state based on answers: ```bash python -m refund_radar mark-expected --merchant "Costco" python -m refund_radar mark-recurring --merchant "Netflix" ``` ### 6. Generate HTML Report Report saved to `~/.refund_radar/reports/YYYY-MM.html` Copy [template.html](assets/template.html) structure. Sections: - **Summary**: Transaction count, total spent, recurring count, flagged count - **Recurring Charges**: Table with merchant, amount, cadence, next expected - **Unexpected Charges**: Flagged items with severity and reason - **Duplicates**: Same-day duplicate charges - **Fee-like Charges**: ATM fees, FX fees, service charges - **Refund Templates**: Ready-to-copy email/chat/dispute messages Features: - Privacy toggle (blur merchant names) - Dark/light mode - Collapsible sections - Copy buttons on templates - Auto-hide empty sections ### 7. Draft Refund Requests For each flagged charge, generate three template types: - **Email**: Formal refund request - **Chat**: Quick message for live support - **Dispute**: Bank dispute form text Three tone variants each: - Concise (default) - Firm (assertive) - Friendly (polite) Templates include: - Merchant name and date - Charge amount - Dispute reason based on flag type - Placeholders for card last 4, reference number **Important**: No apostrophes in any generated text. ## CLI Reference ```bash # Analyze statement python -m refund_radar analyze --csv file.csv --month 2026-01 # Analyze from stdin python -m refund_radar analyze --stdin --month 2026-01 --default-currency CHF # Mark merchant as expected python -m refund_radar mark-expected --merchant "Amazon" # Mark merchant as recurring python -m refund_radar mark-recurring --merchant "Netflix" # List expected merchants python -m refund_radar expected # Reset learned state python -m refund_radar reset-state # Export month data python -m refund_radar export --month 2026-01 --out data.json ``` ## Files Written | Path | Purpose | |------|---------| | `~/.refund_radar/state.json` | Learned preferences, merchant history | | `~/.refund_radar/reports/YYYY-MM.html` | Interactive audit report | | `~/.refund_radar/reports/YYYY-MM.json` | Raw analysis data | ## Privacy - **No network calls.** Everything runs locally. - **No external APIs.** No Plaid, no cloud services. - **Your data stays on your machine.** - **Privacy toggle in reports.** Blur merchant names with one click. ## Requirements - Python 3.9+ - No external dependencies ## Repository https://github.com/andreolf/refund-radar


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)