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c2799c73d1
New workflow docs: - workflow-token-research.md — pre-buy token due diligence - workflow-wallet-analysis.md — wallet quality assessment - workflow-smart-money-profile.md — trading style analysis and copy-trade ROI estimate - workflow-risk-warning.md — active risk monitoring (whale exit, liquidity, dev dump) - workflow-early-project-screening.md — new launchpad token screening - workflow-daily-brief.md — daily market overview - workflow-project-deep-report.md — comprehensive token analysis with scored dimensions Renamed docs for consistent workflow- prefix naming: - market-discover-opportunities.md → workflow-market-opportunities.md - token-due-diligence.md → workflow-token-due-diligence.md Updated SKILL.md files (portfolio, track, token, market, swap) with workflow cross-reference links at relevant trigger points. Updated CLAUDE.md quick decision table and workflow docs index. Added Workflow Docs section to Readme.md and Readme.zh.md. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
110 lines
4.9 KiB
Markdown
110 lines
4.9 KiB
Markdown
# New Token Research — Full Workflow
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When a user provides a token address or name and wants to know if it's worth researching or buying, run this full workflow in sequence.
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## Step 1 — Basic Info
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```bash
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gmgn-cli token info --chain <chain> --address <token_address>
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```
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Check: `price`, `market_cap` (= `price × circulating_supply`), `liquidity`, `holder_count`, `wallet_tags_stat.smart_wallets`, `wallet_tags_stat.renowned_wallets`, `link.website` / `link.twitter_username` / `link.telegram`.
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**Red flags**: all `link.*` social fields empty, liquidity < $10k, zero `wallet_tags_stat.smart_wallets` and `renowned_wallets`.
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## Step 2 — Security Check
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```bash
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gmgn-cli token security --chain <chain> --address <token_address>
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```
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Check each field against the thresholds below:
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| Field | Safe ✅ | Warning ⚠️ | Danger 🚫 |
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|-------|---------|-----------|---------|
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| `is_honeypot` | `"no"` | — | `"yes"` → **Stop immediately. Do not buy.** BSC/Base only — empty string on SOL (not applicable). |
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| `open_source` | `"yes"` | `"unknown"` | `"no"` |
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| `owner_renounced` | `"yes"` | `"unknown"` | `"no"` |
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| `renounced_mint` (SOL) | `true` | — | `false` → mint risk |
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| `renounced_freeze_account` (SOL) | `true` | — | `false` → freeze risk |
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| `buy_tax` / `sell_tax` | `0` | `0.01–0.05` | `>0.10` |
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| `top_10_holder_rate` | `<0.20` | `0.20–0.50` | `>0.50` |
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| `rug_ratio` | `<0.10` | `0.10–0.30` | `>0.30` |
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| `creator_token_status` | `creator_close` | — | `creator_hold` |
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| `sniper_count` | `<5` | `5–20` | `>20` |
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**If `is_honeypot = "yes"` → stop immediately and display: "🚫 HONEYPOT DETECTED — Do not buy this token." Do NOT proceed.**
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## Step 3 — Liquidity Pool
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```bash
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gmgn-cli token pool --chain <chain> --address <token_address>
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```
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Check: liquidity amount, which DEX (`exchange`), pool age (`creation_timestamp`). Low liquidity means high slippage risk when buying or selling.
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## Step 4 — Market Heat (Check if Currently Trending)
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Check if this token appears in current trending data:
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```bash
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gmgn-cli market trending --chain <chain> --interval 1h --order-by volume --limit 100 --raw | jq '.data.rank[] | select(.address == "<token_address>")'
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```
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- **If found**: note its `rank`, `smart_degen_count`, `volume`, `price_change_percent1h` — this confirms active market interest.
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- **If not found**: token is not currently trending (neutral signal — not necessarily bad, just no active buzz).
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## Step 5 — Smart Money Signals
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```bash
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# Is smart money accumulating?
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gmgn-cli token holders --chain <chain> --address <token_address> \
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--tag smart_degen --order-by buy_volume_cur --direction desc --limit 20
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# What are KOL traders doing?
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gmgn-cli token traders --chain <chain> --address <token_address> \
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--tag renowned --order-by profit --direction desc --limit 20
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```
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**Bullish signals**: smart_degen wallets buying heavily, unrealized_profit is large (still holding), low sell_volume_cur.
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**Bearish signals**: sell_volume_cur > buy_volume_cur for smart money, large realized profits already taken (may be exiting), top holders with very high amount_percentage starting to sell.
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## Decision Framework
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After completing all steps, present a structured conclusion:
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```
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Token Research Summary: {symbol} ({chain})
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Address: {short_address}
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─── Security ──────────────────────────────
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Honeypot: ✅ no / 🚫 YES — STOP
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Contract verified:✅ yes / 🚫 no / ⚠️ unknown
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Owner renounced: ✅ yes / 🚫 no / ⚠️ unknown
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Rug risk: {rug_ratio} → ✅ low / ⚠️ medium / 🚫 high
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Top-10 holders: {top_10_holder_rate%} → ✅ <20% / ⚠️ 20–50% / 🚫 >50%
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─── Liquidity ─────────────────────────────
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Pool liquidity: ${liquidity} on {exchange}
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─── Market Heat ───────────────────────────
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Trending: yes (rank #{rank}) / not trending
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─── Smart Money ───────────────────────────
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SM holders: {smart_wallets} | KOL holders: {renowned_wallets}
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SM activity: accumulating / distributing / absent
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─── Verdict ───────────────────────────────
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🟢 Buy — strong signals across all dimensions
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🟡 Watch — mixed signals, monitor for confirmation
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🔴 Skip — red flags present (specify which)
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```
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**Scoring logic:**
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- If any 🚫 → skip (hard stop, especially if honeypot)
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- If 3+ ⚠️ with no 🚫 → needs more research / watch
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- If mostly ✅ with smart money accumulating → worth researching / buying
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---
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## Related Workflows
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- [`workflow-market-opportunities.md`](workflow-market-opportunities.md) — find tokens from trending first, then deep dive here
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- [`workflow-project-deep-report.md`](workflow-project-deep-report.md) — more comprehensive analysis with scored dimensions and a full written report
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