Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate periodic crypto market intelligence reports from the NOFX AI500 system. Monitors coin selections, analyzes OI (Open Interest), institutional fund fl...
Generate periodic crypto market intelligence reports from the NOFX AI500 system. Monitors coin selections, analyzes OI (Open Interest), institutional fund fl...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Generate comprehensive crypto market intelligence reports from the NOFX AI500 scoring system with automated monitoring and delivery.
NOFX API access: base URL + auth key (provided by user) Telegram or messaging channel for delivery Python 3 with ssl, json, urllib (standard library)
Ask the user for: NOFX API base URL (e.g. https://nofxos.ai) API auth key (e.g. cm_xxxx) Delivery target — Telegram chat ID or channel Then create two cron jobs using the OpenClaw cron tool:
Run scripts/monitor.sh via exec. Pass API base and key as env vars. Output NEW: → send alert + detailed analysis Output REMOVED: → send removal notice Output NO_CHANGE → silent See references/monitor-job.md for full cron payload template.
Fetch data from multiple NOFX API endpoints and Binance public API, compile into formatted report. See references/report-job.md for full cron payload template.
All NOFX endpoints require ?auth=KEY parameter. EndpointPurposeParams/api/ai500/listCurrent AI500 selections—/api/oi/top-rankingOI increase rankingsduration/api/oi/low-rankingOI decrease rankingsduration/api/netflow/top-rankingFund inflow rankingstype=institution&trade=future&duration/api/netflow/low-rankingFund outflow rankingssame/api/delta/listDelta datasymbol/api/long-short-ratio/listLong/short ratiosymbol/api/funding-rate/top-rankingFunding rate high—/api/funding-rate/low-rankingFunding rate low— Duration values: 5m, 15m, 30m, 1h, 4h, 8h, 24h Binance K-line (public, no auth): https://fapi.binance.com/fapi/v1/klines?symbol=XXXUSDT&interval=15m&limit=10 Intervals: 15m, 1h, 4h SSL note: On some systems, Python needs: import ssl ctx = ssl._create_unverified_context()
Use Unicode box-drawing in code blocks for Telegram compatibility. Each coin section includes: AI500 score + cumulative return since selection OI changes across 7 timeframes (5m→24h) with percentage AND dollar value (from oi_delta_value) Institutional fund flows across timeframes, with ranking when in TOP/LOW 20 K-line analysis (15m/1h/4h): trend direction, bull/bear candle ratio, MA3 vs MA7, volume change, support/resistance Funding rate with warning if >0.03% After individual coins, include: OI ranking tables (TOP8 increase + TOP8 decrease) for 1h/4h/24h Institutional flow ranking tables (TOP8 in + TOP8 out) Summary with actionable trading suggestions per coin
For each timeframe (15m/1h/4h), fetch 10 candles and compute: Trend: 3 consecutive candles direction → 📈Bullish/📉Bearish/↔️Sideways Bull/bear ratio: count of green vs red candles out of 10 MA alignment: MA3 vs MA7 → Bullish alignment/Bearish alignment Volume change: avg volume of last 3 candles vs previous 3 → percentage Support: lowest low of 10 candles Resistance: highest high of 10 candles
For video generation from report data, see references/video-pipeline.md.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.