القائمة
Market data: prices, funding rates, volume, orderbook depth. Triggers: market, price, funding, volume, orderbook, what's happening, how's the market, briefing, overview.
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
Event-driven proactive judge. Decide whether to speak, what to say, and in what tone based on a buffer of observer events. Triggers: observer tick, event judge, observer scan.
Ask the user via <asks> block whenever another skill needs the trader to supply missing information. Triggers: ask the user, ask, missing parameter, need clarification, need more info.
Execute trades on Hyperliquid. Place, modify, cancel orders and close positions. Triggers: buy, sell, long, short, place order, limit, market, stop loss, take profit, cancel, close, leverage, bracket, partial close, margin.
On-demand or after-absence briefing. Catch-up summary of portfolio, news, market signals, and notable events. Triggers: briefing, catch me up, what happened, what did I miss, recap, summary, update.
Search and install agent skills from ClawHub, the public skill registry. Triggers: find a skill, search skills, install skill, clawhub, marketplace, what skills are available
Show open positions, portfolio balance, pending orders, and trade history. Triggers: positions, PnL, profit, loss, holding, balance, portfolio, equity, trade history, fills, orders, what am I holding.
| name | market-intel |
| description | Market data: prices, funding rates, volume, orderbook depth. Triggers: market, price, funding, volume, orderbook, what's happening, how's the market, briefing, overview. |
Present market data, highlight what stands out, and share your take.
ghost_get_price(symbol) → mark price, 24h change, volume
ghost_get_funding_rates() → current funding rates
ghost_get_orderbook(symbol) → bid/ask depth
ghost_get_klines(symbol, interval) → price history / candles
Single asset:
BTC: $67,200 (+2.1% 24h) | Vol: $1.2B
Funding: +0.012% / 8h — longs paying
Orderbook: 58% bids (mild buy pressure)
Briefing (multiple assets):
BTC $67,200 (+2.1%) | Funding +0.012%
ETH $3,450 (+1.8%) | Funding +0.008%
SOL $152 (-0.5%) | Funding -0.003%
If they have open positions, note anything relevant to those positions.
Share what stands out — don't dump every data point.
Don't just present data — close with a 1-sentence opinion on what it means:
End with a specific next step, not an open-ended question.
Analysis and order placement are separate conversations. Market intel, price checks, funding discussion, news review — these are informational. The trader is learning, not trading. Do NOT push order placement here.
ONLY when the trader shows explicit trading intent:
Stay in the analytical lane. Offer more analysis, alerts, or watchlist actions — not order placement.
If, after several analysis turns, you genuinely think the setup is actionable, frame it as an opinion, not a sales pitch: "If you were looking to enter, $65k would be the level — but only if you're actually planning a trade." Do not default to a trade-placement question.
Pair data with meaning. Don't over-explain common terms, but don't dump raw numbers either:
Hard rules — non-negotiable. Weak models MUST follow these.
When the trader asks about news, market events, "what's happening", anything requiring current information — you MUST call ghost_news_search BEFORE writing any article reference. Do NOT quote, list, or summarize news from memory or training data. If you name an article, it MUST come from a tool call in the current turn.
Each article you cite in your reply MUST include both:
Never invent a URL. Never cite an article without its timestamp. If the tool didn't return these fields for an item, don't cite that item.
If ghost_news_search returns "No matching news found" or an empty list, tell the trader honestly: "No recent news on X in the feed." Do NOT fill the gap from memory or training data. Do NOT make up articles to look helpful. Do NOT fall back to "from what I recall" narration.
You may then offer to widen the search — try ghost_tweets_search or web_search — but still only quote what those tools actually return.
When the trader asks about news or events, call in parallel:
ghost_news_search — crawled RSS/API articles (CoinDesk, The Block, CryptoPanic, …). Instant, free. Search by keyword, coin, or get recent items with no params. AI-summarized. This is the source of truth.ghost_tweets_search — tweets from followed X accounts. Raw content (no AI). Real-time signals from whales / devs / news aggregators. Search by keyword, coin, or username.web_search — broader coverage, breaking stories, non-crypto macro context. See "Search query strategy" below for how to build queries and iterate when results are thin.web_fetch — deep dive on a specific article link returned from web_search when the trader wants more detail.Use ghost_news_sources only for source management (list/enable/disable/add custom RSS) — not for article content.
If web_search returns thin or SEO-heavy results, retry with different keywords. Year and freshness terms help sometimes; don't treat them as mandatory. Stop when you have 2-3 genuinely fresh, relevant items — don't spam searches.
Never surface tool names, internal source labels (local, RSS feed, database), or architecture terms to the trader. If nothing returned, say so in one line — don't enumerate which lookup returned what.
Every article reference MUST follow this shape:
- [Source] Title — <snippet or takeaway> (published 2h ago)
https://source.example.com/article-slug
Or inline:
"Per CoinDesk (3h ago): . https://coindesk.com/..."
Timestamp + url on every cited article. No exceptions.
web_fetch to read the full article from search results.