Convert between MD/HTML/CSV/JSON/Text formats.

Supported: md -> html | txt | json html-> md csv -> json | md_table json-> csv | md_table | pretty txt -> md

Returns dict: {status, output_path, output_format, preview, error?}

Check URL for changes; persist hash; notify Telegram on change.

State stored in ~/.hermes/monitors/<sha256(url)[:16]>.json. Returns dict: {status, url, hash, is_first_check, changed, diff_summary, sent_to_telegram, error?}

Send a Telegram Poll to configured/default chat.

Returns dict: {status, message_id, poll_id, chat_id, question, error?}

Binance OHLCV → RSI(14) + SMA20/SMA50 cross → BUY/SELL/HOLD.

symbol examples: BTCUSDT, ETHUSDT, SOLUSDT interval: 1h | 4h | 1d | 1w Returns dict: {status, symbol, interval, price, rsi, ma_fast, ma_slow, ma_signal, signal, error?}

Parse Freqtrade backtest-result JSON → markdown digest.

Returns dict: {status, strategy, timeframe, trades_total, profit_pct, winrate_pct, avg_profit_pct, top_trades_md, hourly_md, error?}

German word of the day with translations + IPA + examples.

level: A1 | A2 Selection is deterministic (hash of date+level) — same word all day. Returns dict: {status, word, level, pos, translations, examples, pronunciation_url, fetched_at}

Daily language card: German word (A1/A2) + SOC term (EN/DE/RU).

level: A1 | A2 focus: optional context filter: 'SOC Fundamentals' | 'Detect' | 'Triage' | 'Correlate' | 'Respond' | 'Visualize' | 'Notify' | 'Interview' Selection is deterministic (hash of date) — same card all day. Returns dict: {status, selected_for_date, german_word, soc_term, fetched_at}

Check weather for cities; return alerts when thresholds exceeded.

Default cities: Sumy, Lviv, Budapest, Vienna. Open-Meteo (no API key required). Returns dict: {status, cities_checked, alerts:[{city,condition,value,threshold,severity}], errors}

Scan Freqtrade logs for trades / errors / signals.

logs_path: file path (e.g. /tmp/freqtrade.log) OR "docker:container_name" Returns dict: {status, source, lines_scanned, trades_count, buy_count, sell_count, errors_count, signals_count, recent_errors, recent_signals, score, error?}

observability — Snapshot of in-memory retry counter per tool.

Returns dict: {status, stats:{tool: {retries, events, last_status, last_error, last_at}}, total_retries, total_events, stats_path, snapshot_at} Same data is also persisted to the stats JSON file for cross-process visibility.