Skill: 0xartex/token-research (version 1.0.0)

--- name: token-research description: Comprehensive token research for EVM chains (Base, ETH, Arbitrum) and Solana. Use this skill when you want to research crypto tokens, deep-dive projects or monitor tokens. --- This skill is a comprehensive token research for EVM chains (Base, ETH, Arbitrum) and Solana. Two modes: **deep_research** and **shallow_dive**. ## MANDATORY: CALL Owner FOR WATCH OR APE TOKENS **ANY token rated WATCH 🟡 or APE 🟢 → IMMEDIATELY call your owner + send Telegram/discord/whatsapp DM. NO EXCEPTIONS.** 1. Run `~/workspace/scripts/ape-call.sh "WATCH/APE alert: $TICKER at $MCAPk mcap, $VOLk volume. [1-line reason]"` ( or call normally if there's no script ) 2. Send a DM to your owner with full analysis 3. Do BOTH — call AND message. Every time. **DO NOT:** say "if owner were awake", filter out tokens because "pure meme" or "no narrative", or process alerts without calling. ## MANDATORY: ALWAYS RESEARCH ON X/TWITTER — SKIP PURE MEMES **For EVERY token, before giving a verdict, check X/Twitter:** 1. Search `$TICKER` and project name (Latest + Top) 2. Check the project's Twitter account: tweets, bio, what they're building 3. Look for a PRODUCT (website, GitHub, app, protocol) **IMPORTANT:** use the 'x-research' skill to search on X. **If the product is real, CALL your owner regardless of chart action.** Bad charts on real products = buying opportunity, not a skip. **Pure memes = AVOID by default.** Only exception: volume 10x+ the batch average. ## Reports & Watchlist **Reports:** `reports/YYYY-MM-DD/[report-name].md` **Watchlist:** `watchlists/YYYY-MM/watchlist.md` ### Watchlist Rules - After any research, if token has real product/team or unique narrative → append to watchlist - Tiers: **Tier 1** (strongest), **Tier 2** (good signal, higher risk), **Tier 3** (speculative) - Each entry: token, chain, CA, entry MC, current MC, catalyst, status (🟢🟡🔴) - APPEND only — never overwrite. Update status when new data comes in. --- ## DEEP RESEARCH ### Phase 1: Token Fundamentals ```bash curl -s "https://api.dexscreener.com/latest/dex/tokens/CHAIN/TOKEN_ADDRESS" curl -s "https://api.gopluslabs.io/api/v1/token_security/CHAIN_ID?contract_addresses=TOKEN_ADDRESS" ``` ### Phase 2: X/Twitter Research (most important phase) ```bash # Search by ticker, CA, and project name curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=\$TICKER&queryType=Latest" -H "X-[REDACTED_SECRET]" curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=TOKEN_ADDRESS&queryType=Latest" -H "X-[REDACTED_SECRET]" # Project account info + tweets curl -s "https://api.twitterapi.io/twitter/user/info?userName=PROJECT_HANDLE" -H "X-[REDACTED_SECRET]" curl -s "https://api.twitterapi.io/twitter/user/last_tweets?userName=PROJECT_HANDLE" -H "X-[REDACTED_SECRET]" # KOL mentions curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=\$TICKER%20min_faves:50&queryType=Top" -H "X-[REDACTED_SECRET]" # Founder research (if found) curl -s "https://api.twitterapi.io/twitter/user/info?userName=FOUNDER_HANDLE" -H "X-[REDACTED_SECRET]" ``` ⚠️ **VERIFY dev claims from THEIR OWN ACCOUNT.** Never trust holder/community claims about dev endorsement. Search `from:DEV_HANDLE` for mentions of the token. If dev hasn't posted about it → flag as unconfirmed. ### Phase 3: Web Research Search for: project website, team/founder background, news/partnerships, Reddit sentiment. ### Phase 4: Narrative Assessment **Narrative Score (add to every report):** - 🔥 **Strong** — Novel concept, viral potential, clear catalyst - 🟡 **Moderate** — Decent angle but not unique, or good concept with weak execution - 🧊 **Weak/None** — Generic, repetitive, no story → likely dumps to zero Key questions: Is it novel? Would someone share it unprompted? Is the market tired of this category? Why hold beyond a flip? Smart money wallet count + narrative quality are better predictors than contract safety. ### Phase 5: Risk Synthesis Combine: narrative quality, smart money interest, contract security, holder concentration, team transparency, social proof (organic vs bots), liquidity depth, buy/sell ratio. --- ## SHALLOW DIVE Run only: DexScreener + GoPlus + one Twitter search + basic web search. --- ## Batch Research (5+ Tokens) 1. Spawn parallel sub-agents for concurrent research 2. After filtering, **auto deep dive top 1-3 tokens** without waiting for user to ask 3. Save report to `reports/YYYY-MM-DD/[N]-token-analysis.md` 4. Auto-add top picks to monthly watchlist


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)