安全扫描（ClawHub）

• VirusTotal ：可疑
• OpenClaw ：可疑

OpenClaw 评估

The skill's files and runtime instructions mostly match a token-research purpose, but there are several important mismatches and implicit behaviors (undocumented API keys, mandatory 'call owner' behavior, auto-spawning sub-agents, and filesystem write/append rules) that aren't declared or justified and could cause unexpected data sharing or excessive privileges.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Token Research」。简介：Comprehensive token research for EVM chains (Base, ETH, Arbitrum) and Solana. U…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/0xartex/token-research/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
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-API-Key: $TWITTERAPI_KEY"
curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=TOKEN_ADDRESS&queryType=Latest" -H "X-API-Key: $TWITTERAPI_KEY"

# Project account info + tweets
curl -s "https://api.twitterapi.io/twitter/user/info?userName=PROJECT_HANDLE" -H "X-API-Key: $TWITTERAPI_KEY"
curl -s "https://api.twitterapi.io/twitter/user/last_tweets?userName=PROJECT_HANDLE" -H "X-API-Key: $TWITTERAPI_KEY"

# KOL mentions
curl -s "https://api.twitterapi.io/twitter/tweet/advanced_search?query=$TICKER%20min_faves:50&queryType=Top" -H "X-API-Key: $TWITTERAPI_KEY"

# Founder research (if found)
curl -s "https://api.twitterapi.io/twitter/user/info?userName=FOUNDER_HANDLE" -H "X-API-Key: $TWITTERAPI_KEY"
```

⚠️ **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