--- name: ct-alpha-90f5804868fb description: > Crypto Twitter intelligence and alpha research. Search X/Twitter for real-time crypto narratives, trending tokens, yield strategies, smart money signals, and protocol research. Features TweetRank (PageRank-inspired credibility scoring), multi-signal token detection, coordinated raid detection, and dynamic tool discovery for execution suggestions. Solana-first but covers all major chains. creator: yashhsm version: "1.0.0" tags: [crypto-twitter, alpha, research, trending, tweetrank, solana, defi, sentiment, x-api, trading] metadata: author: yashhsm runtime: bun api: X API v2 (pay-per-use) --- # CT Alpha — Crypto Twitter Intelligence Turn X/Twitter into an actionable crypto intelligence layer. Search CT for narratives, alpha, strategies, and sentiment, then rank results using TweetRank (a PageRank-inspired credibility scoring system), extract tokens/CAs from multiple signals, detect coordinated raids, and suggest execution steps using available tools. ## Overview - **Search**: Query CT with crypto-optimized noise filters and relevancy sorting - **TweetRank**: Score tweets by author credibility + engagement quality + recency - **Multi-Signal Token Detection**: Cashtags, name-phrases, crypto URLs, contract addresses - **Raid Detection**: Flag tickers promoted mostly by low-credibility accounts - **Trending**: Detect trending tokens across multiple search queries - **Watchlist**: Monitor trusted CT accounts by category - **Thread Hydration**: Fetch full conversation threads - **X Articles**: Full-text extraction of long-form posts (>280 chars) - **Cost Tracking**: Per-session API spend tracking (~$0.005/tweet) - **Dynamic Tool Discovery**: Suggest follow-up actions with DeFi Llama, Backpack, Polymarket, etc. ## Prerequisites - **Runtime**: [Bun](https://bun.sh) (TypeScript runtime) - **API Token**: X API Bearer Token from [developer.x.com](https://developer.x.com) (pay-per-use via xAI) - **Cost**: ~$0.005 per tweet read, ~$0.10 per quick search (20 tweets) ## Quick Start ### Installation ```bash # Clone the skill git clone https://github.com/yashhsm/skills.git cd skills/skills/ct-alpha # Run the installer (configures token, watchlist, cache) bun run install.ts ``` ### Environment Setup ```bash # Set your X API Bearer Token export X_BEARER_TOKEN="your_token_here" # Or save to persistent env file mkdir -p ~/.config/env echo 'export X_BEARER_TOKEN="your_token_here"' >> ~/.config/env/global.env source ~/.config/env/global.env ``` ### Basic Usage ```bash # Search for alpha on a token bun run ct-search.ts search "$SOL alpha" --quick # Detect trending tokens bun run ct-search.ts trending --window 6h --solana-only # Monitor watchlist accounts bun run ct-search.ts watchlist --since 24h # Read a specific tweet or article bun run ct-search.ts read https://x.com/user/status/123456 # Check API spending bun run ct-search.ts cost ``` ## CLI Reference ### search — Core research command ```bash bun run ct-search.ts search "" [flags] ``` | Flag | Description | Default | |------|-------------|---------| | `--quick` | 20 tweets, 1hr cache, ~$0.10 | **Default mode** | | `--full` | Up to 100 tweets, 15min cache, ~$0.50 | Confirm cost first | | `--limit N` | Max total tweets | 20 (quick), 100 (full) | | `--sort ` | `likes`, `recency`, `relevancy` | `relevancy` | | `--since ` | `1h`, `6h`, `24h`, `7d` | `24h` | | `--min-likes N` | Engagement filter | 3 (quick) | | `--from user1,user2` | Restrict to specific accounts | — | | `--extract-tickers` | Show extracted tickers | — | | `--extract-cas` | Show contract addresses and crypto URLs | — | | `--raw` | JSON output | — | ### trending — Multi-signal trending detection ```bash bun run ct-search.ts trending [flags] ``` | Flag | Description | Default | |------|-------------|---------| | `--window ` | `1h`, `6h`, `24h` | `6h` | | `--min-mentions N` | Minimum mention count | 3 | | `--solana-only` | Solana ecosystem only | — | | `--top N` | Top N results | 20 | ### watchlist — Monitor CT accounts ```bash bun run ct-search.ts watchlist [flags] ``` | Flag | Description | Default | |------|-------------|---------| | `--category ` | Filter by category | all | | `--since ` | Time window | `24h` | ### read — Read a specific tweet/article ```bash bun run ct-search.ts read [--thread] [--raw] ``` Accepts x.com URLs, twitter.com URLs, or raw tweet IDs. Articles (long-form posts) are fetched in full. ### thread — Hydrate conversation thread ```bash bun run ct-search.ts thread ``` ### cost — Track API spending ```bash bun run ct-search.ts cost [--reset] ``` ## Core Features ### TweetRank Scoring Every tweet is scored by three factors multiplied together: 1. **AuthorCred (0-10)**: Watchlist membership (+5), follower/following ratio (capped +5), verification (+1), account age (log scale, capped +2), bot penalty (-3) 2. **EngagementQuality**: Bookmarks (×3, unfakeable) > Quotes (×2.5, high effort) > Likes (×1.5) > Retweets (×1, easily botted). All log-scaled. 3. **RecencyBoost**: `1 / (1 + hoursAgo / 24)` — newer tweets score higher. ``` TweetRank = AuthorCred × EngagementQuality × RecencyBoost ``` Each tweet receives a source label: - `[WATCHLIST]` — Author is on your watchlist (highest trust) - `[HIGH-CRED]` — AuthorCred ≥ 5 - `[UNKNOWN]` — Unverified author - `[SUSPICIOUS]` — Bot-like patterns detected ### Multi-Signal Token Detection Cashtag-only detection misses how tokens actually spread on CT. This extracts from four signal types: | Signal | Example | Confidence | |--------|---------|------------| | **Cashtag** | `$SOL`, `$JTO` | High | | **Name-phrase** | "pendle" + crypto context | High/Medium | | **Crypto URL** | pump.fun, dexscreener, birdeye, jup.ag | High | | **Contract Address** | Base58 (Solana) / 0x (Ethereum) with context | High/Low | Supported crypto URL domains: pump.fun, dexscreener.com, birdeye.so, jup.ag, raydium.io, solscan.io, etherscan.io. ### Raid Detection Detects coordinated pump campaigns by analyzing author credibility distribution per ticker: - If >70% of authors mentioning a ticker have low credibility (AuthorCred < 3), it's flagged as a potential raid - Output includes raid score, total/low-cred author counts ### Noise Filtering Every search auto-appends crypto noise filters: - `-is:retweet` (removes retweets) - `-"airdrop"`, `-"giveaway"`, `-"whitelist"` (spam removal) - `-"follow and RT"`, `-"follow & RT"`, `-"free mint"`, `-"dm to claim"` (engagement bait) - Quick mode also adds `-is:reply` ### Caching Aggressive caching prevents redundant API calls: | Cache Type | TTL | Use Case | |------------|-----|----------| | Quick search | 1 hour | Default searches | | Full search | 15 minutes | Deep dives | | Thread | 2 hours | Conversation threads | | Profile | 24 hours | User lookups | | Watchlist | 4 hours | Account monitoring | Cache is file-based (JSON) with auto-pruning on startup (24h hard limit). ## Research Methodology Follow this 6-step loop for every research request: ### 1. Decompose Break the user's question into 1-3 targeted search queries. - Token research: search both `$TICKER` and plain name with OR - Narratives: search thematic keywords, not just token names - Strategies: include strategy/yield/APY keywords ### 2. Pre-Filter Before any API call: - Check cache (same query within TTL is free) - Noise filters are automatic - Estimate cost: Quick ~$0.10, Full ~$0.50-1.50 - Narrow time window: 24h for trending, 7d for research ### 3. Search Execute with `--quick` mode first (always): ```bash bun run ct-search.ts search "$TOKEN alpha" --quick --extract-tickers ``` ### 4. Extract Analyze TweetRank scores and trust labels. Look for extracted tickers, contract addresses, and crypto URLs. ### 5. Deep-Dive (if needed) - Follow high-engagement threads: `bun run ct-search.ts thread ` - Search specific authors: `--from author1,author2` - Broaden with `--full` only if quick was insufficient ### 6. Synthesize Combine findings into actionable intelligence: - Group by theme, not by query - Highlight tickers with strong multi-signal detection - Flag raid risks - Suggest verification and execution steps ## Query String Rules The query argument supports X API v2 operators: | Operator | Example | Description | |----------|---------|-------------| | keyword | `solana alpha` | Both words | | `"exact"` | `"yield strategy"` | Exact phrase | | `OR` | `$SOL OR solana` | Either term | | `-` | `-airdrop` | Exclude term | | `from:` | `from:username` | Tweets by user | | `has:links` | `has:links` | Tweets with URLs | | `lang:` | `lang:en` | Language filter | | `$` | `$SOL` | Cashtag | **Do NOT use these v1.1 operators** (they cause 400 errors on v2 pay-per-use): - `min_faves:N`, `min_retweets:N` — use `--min-likes` CLI flag instead - `place:`, `bio:`, `sample:` — not available on v2 **Do NOT manually include noise filters** in the query — the CLI auto-appends them. ## Dynamic Tool Discovery After completing research, suggest execution steps using available MCP tools: | Tool Prefix | Use Case | Example | |-------------|----------|---------| | `mcp__defillama__*` | TVL, yields, fees, prices | `get_protocol_tvl("pendle")` | | `mcp__backpack__*` | Exchange price, depth, trades | `backpack_get_ticker("SOL_USDC")` | | `mcp__polymarket__*` | Prediction markets | `search_polymarket("solana ETF")` | | `mcp__coingecko__*` | Token data, market charts | `get_id_coins("solana")` | Always frame suggestions as "verify" not "confirm" — encourage skepticism about CT alpha. ## Cost Protocol 1. **Always `--quick` first** (~$0.10 for 20 tweets). Relevancy sort = best results come first. 2. Only increase `--limit` if 20 results are genuinely insufficient. 3. Display cost estimate before `--full` mode. 4. Cache is aggressive — same query within TTL is free. 5. **Two-pass strategy**: First search 20 results. If more depth needed on a sub-topic, do a targeted follow-up rather than re-running with higher limits. ## Best Practices - **Start narrow, broaden only if needed**: Specific ticker + context words first - **Use `--from` for signal**: Restrict to watchlist accounts for highest signal-to-noise - **Use `has:links` for substance**: Analytical content, not hot takes - **Never present CT findings as authoritative**: Always include confidence levels and risk bullets - **Contract addresses are always UNVERIFIED**: Verify on-chain before interacting - **Two-pass research**: Quick search first, then targeted deep-dives - **Track spending**: Use `cost` command to monitor API usage ## Security Considerations - X Bearer Token is stored in `~/.config/env/global.env` — ensure proper file permissions - Never commit tokens to version control - Contract addresses extracted from tweets are ALWAYS unverified — always verify on-chain - Watchlist data is local-only (not synced or shared) - Cache files contain tweet data — consider cleanup for sensitive research ## Skill Structure ``` ct-alpha/ ├── SKILL.md # This file — agent instructions ├── ct-search.ts # Main CLI entry point ├── setup.ts # Interactive setup script ├── install.ts # Full installer ├── lib/ │ ├── api.ts # X API v2 integration, pagination, caching │ ├── extract.ts # Multi-signal token extraction │ ├── tweetrank.ts # TweetRank scoring and raid detection │ ├── format.ts # Output formatting with trust labels │ ├── cache.ts # File-based caching layer │ ├── cost.ts # API cost tracking │ └── filters.ts # Noise filtering, engagement filtering ├── resources/ │ ├── x-api.md # X API v2 reference │ ├── query-templates.md # Pre-built search patterns │ └── tool-discovery.md # Dynamic tool suggestion map ├── data/ │ ├── known-tokens.json # Token name → ticker mappings │ └── watchlist.default.json # Default watchlist categories └── examples/ └── basic-search.ts # Quick start example ``` ## Resources - [X API v2 Documentation](https://developer.x.com/en/docs/twitter-api) - [Bun Runtime](https://bun.sh) - [SendAI Skills Repository](https://github.com/sendaifun/skills) --- Source attribution: dattb-birdeye Original project: https://github.com/dattb-birdeye/skills/blob/d008eac5e9b05ce18b6b193d3df05fd0b93653a0/skills/ct-alpha/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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See the License for the specific language governing permissions and limitations under the License. # Mega AI Hub resource metadata Creator / publisher: dattb-birdeye Original project: https://github.com/dattb-birdeye/skills/blob/d008eac5e9b05ce18b6b193d3df05fd0b93653a0/skills/ct-alpha/SKILL.md Attribution basis: Source repository record Fields of work: Marketing Roles: Content Marketer, Growth Marketer, Influencer Marketer, Marketing Analyst, Product Marketer Specialties: API Tools: X Api Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: c310a57b1a6cc2dbcd29d161d2b7857c382d739ce39cdbf694645e99281ae811