بنقرة واحدة
spending-alerts
Monitor transactions for large charges, low balances, and unusual activity
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Monitor transactions for large charges, low balances, and unusual activity
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Daily financial summary — net worth, recent activity, payment due dates, alerts
Manage recurring scheduled tasks — add, list, pause, resume, remove
Build a custom dashboard view from a natural language request — query, API, React component, build, deploy
On-demand financial briefing — spending, balances, portfolio, transactions, reports, CSV export
Override transaction categories via natural language — update rules, reclassify
Guided first-bank setup — credentials, exploration, sync, extraction, import
| name | spending-alerts |
| description | Monitor transactions for large charges, low balances, and unusual activity |
| trigger | manual |
Check for alert conditions after each sync. Report if any trigger.
Check that data/foliome.db exists. If not, respond: "No financial data found. Run /sync first to populate your accounts."
Large transaction: Any single transaction over $500 (configurable)
SELECT date, description, ABS(amount) as amount, institution, user_category
FROM transactions
WHERE ABS(amount) > 500
AND date >= date('now', '-1 day')
AND amount < 0
Low balance: Checking account drops below $1,000
SELECT b.account_name, b.balance FROM balances b
INNER JOIN (SELECT account_id, MAX(synced_at) as ms FROM balances GROUP BY account_id) m
ON b.account_id = m.account_id AND b.synced_at = m.ms
WHERE b.account_type = 'checking' AND b.balance < 1000
Unusual spending: Daily spend exceeds 3x the 30-day average
WITH daily AS (
SELECT date, SUM(ABS(amount)) as day_total
FROM transactions WHERE amount < 0
GROUP BY date
),
avg30 AS (
SELECT AVG(day_total) as avg_daily FROM daily
WHERE date >= date('now', '-30 days')
)
SELECT d.date, d.day_total, a.avg_daily
FROM daily d, avg30 a
WHERE d.date = date('now') AND d.day_total > a.avg_daily * 3
Sync failure: Any institution failed to sync
SELECT institution, status, last_error, last_attempt
FROM sync_status WHERE status = 'failed'
Stale data: Any institution not synced in 48+ hours
SELECT institution, last_success
FROM sync_status
WHERE last_success < datetime('now', '-48 hours')
After each sync-all.js --import completes. The Telegram agent should check these conditions and proactively message if any trigger.
Users can set thresholds via Telegram:
Store thresholds in config/alert-config.json.