emblem-memecoin-scout
Memecoin discovery and risk assessment via EmblemAI. Trending memecoins on Solana, Base, and Hedera. Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking. Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens.
- Installs
- 8.7K
- Last 24h
- —
- Trending rank
- —
- Security
- Warn
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/emblemcompany/agent-skills --skill emblem-memecoin-scout- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads emblem-memecoin-scout automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Emblem Memecoin Scout
Memecoin discovery and risk assessment powered by EmblemAI. Real-time new token alerts, trending memecoins, rug-pull detection, holder analysis, and smart money tracking across Solana, Base, and Hedera.
Requires: npm install -g @emblemvault/agentwallet
What This Skill Can Do
| Capability | Tools Used | Chains |
|---|---|---|
| Pump.fun new token launches | getPumpFunTokens | Solana |
| LaunchLab / Bonk.fun new tokens | discoverLaunchLabTokens | Solana |
| Trending memecoins | findSolanaGems, birdeyeTrendingTokens | Solana, multi-chain |
| Clanker token discovery | baseFindClankerTokens | Base |
| Hedera memecoin discovery | hederaFindMemeCoins | Hedera |
| Rug-pull detection | rugcheck | Solana |
| Token deep dive (volume, trades) | birdeyeTradeData | Multi-chain |
| Smart money memecoin tracking | nansen_smart_money_trades | Multi-chain |
| CoinGecko trending | getTrendingCoins | All |
| Token search | searchCryptoByName, findSolanaSwapToken | All |
Not Supported
These features have no backing tools:
- Social sentiment (Twitter, Telegram, Discord monitoring) — no social API tools exist
- Exit strategy generation — LLM-generated advice only, not data-driven
- Price charts / technical levels — no charting tools exist
- BSC/FourMeme discovery —
bscfindMemeCoinsViaFourMemereturns 404 (API broken)
Quick Start
npm install -g @emblemvault/agentwallet
# What's hot on Pump.fun (uses getPumpFunTokens)
emblemai --agent --profile default -m "Use getPumpFunTokens to show tokens about to graduate on Pump.fun with holder data"
# Risk check a token (uses rugcheck)
emblemai --agent --profile default -m "Use rugcheck to analyze token [TOKEN_ADDRESS] on Solana"
Trigger phrases:
- "What memecoins are trending?"
- "Find new tokens on Pump.fun"
- "Is this token a rug pull?"
- "Scout memecoins on Solana"
- "What new tokens launched today?"
Supported Platforms
| Platform | Tool | Chain | Data |
|---|---|---|---|
| Pump.fun | getPumpFunTokens | Solana | New launches, graduating tokens, holder data, dev hold %, sniper/bundle detection |
| LaunchLab | discoverLaunchLabTokens | Solana | New token launches with curve data |
| Clanker | baseFindClankerTokens | Base | New tokens with market cap, creator info |
| MemeJob | hederaFindMemeCoins | Hedera | Memecoins with market cap, socials, DEX links |
| Birdeye | birdeyeTradeData, birdeyeTrendingTokens | Multi-chain | Volume, price action, trade data |
| Rugcheck | rugcheck | Solana | Risk score, holder concentration, insider networks, freeze/mint authority |
Workflow: Scout and Evaluate
Step 1: Discovery
Find what's gaining traction.
emblemai --agent --profile default -m "Use findSolanaGems with sortBy trending to show trending Solana tokens with market cap, volume, holder count, and organic score"
Step 2: Risk Check
Evaluate safety before any position.
emblemai --agent --profile default -m "Use rugcheck to analyze [TOKEN_ADDRESS] — show risk score, top holders, insider networks, freeze authority, and LP status"
Step 3: Volume Deep Dive
Check real trade data for the token.
emblemai --agent --profile default -m "Use birdeyeTradeData to show [TOKEN_ADDRESS] on Solana — price changes across timeframes, unique wallets, buy/sell volumes"
Step 4: Smart Money Check
See if whales are involved.
emblemai --agent --profile default -m "Use nansen_smart_money_trades to check if smart money has traded [TOKEN_NAME] on solana recently"
Scouting Patterns
New Launches (Solana)
emblemai --agent --profile default -m "Use getPumpFunTokens with type about_to_graduate to show tokens about to graduate with volume and holder data"
emblemai --agent --profile default -m "Use discoverLaunchLabTokens to show newest LaunchLab token launches"
New Launches (Base)
emblemai --agent --profile default -m "Use baseFindClankerTokens to show new Clanker tokens on Base with market cap and creator info"
New Launches (Hedera)
emblemai --agent --profile default -m "Use hederaFindMemeCoins to show trending memecoins on Hedera with market cap and socials"
Trending Gems
emblemai --agent --profile default -m "Use findSolanaGems to show trending tokens sorted by organic score"
emblemai --agent --profile default -m "Use birdeyeTrendingTokens on solana to show top tokens by volume"
Whale Watch
emblemai --agent --profile default -m "Use nansen_smart_money_trades to show what smart money is trading on solana right now"
emblemai --agent --profile default -m "Use getCoinglassHyperliquidWhaleAlert to show large memecoin positions"
Red Flag Detection
emblemai --agent --profile default -m "Use rugcheck to analyze [TOKEN_ADDRESS] — check for honeypot indicators, mint authority, concentrated holders, and locked LP"
Risk Assessment
The rugcheck tool returns a score_normalised (0-100) plus detailed risk data:
| Score | Risk Level | What It Means |
|---|---|---|
| 80-100 | Low | Dispersed holders, no freeze/mint authority, locked LP |
| 50-79 | Medium | Some concentration or unlocked LP — proceed with caution |
| 20-49 | High | Major red flags (concentrated holders, active mint authority) |
| 0-19 | Critical | Honeypot/rug indicators detected — do not interact |
Additional rugcheck data: top holder percentages, insider network analysis, creator token history, LP liquidity depth, freeze authority status.
Communication Tips
Name the exact tool for reliable execution:
| Bad | Good |
|---|---|
"memes" | "Use findSolanaGems with sortBy trending to show Solana memecoins" |
"safe?" | "Use rugcheck to analyze [TOKEN_ADDRESS] on Solana" |
"new coins" | "Use getPumpFunTokens with type about_to_graduate to show newest launches" |
Safety Notice
Memecoins are extremely high risk. This skill provides data and analysis to inform decisions — it does not guarantee safety. Always:
- Never invest more than you can afford to lose
- Verify contract addresses independently
- Check multiple data sources before acting
- Use stop-losses on any position
Helper Script
bash scripts/memecoin-scan.sh [chain]
See scripts/memecoin-scan.sh for trending memecoin scanning.
Links
FAQ
What does the emblem-memecoin-scout skill do?
Memecoin discovery and risk assessment via EmblemAI. Trending memecoins on Solana, Base, and Hedera. Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking. Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens.
How do I install emblem-memecoin-scout?
Run npx skills add https://github.com/emblemcompany/agent-skills --skill emblem-memecoin-scout in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/emblem-memecoin-scout/ (personal) or .claude/skills/emblem-memecoin-scout/ (project).
Which AI agents can use emblem-memecoin-scout?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is emblem-memecoin-scout safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains emblem-memecoin-scout?
It is published by emblemcompany in emblemcompany/agent-skills. It has 8,678 recorded installs.
More from emblemcompany/agent-skills
emblem-portfolio-tracker
emblemcompany/agent-skills
Track crypto portfolio across 7 blockchains via EmblemAI. Aggregated balances with USD values, conditional trade P&L, and DeFi position tracking via Nansen. Use when the user wants to check their portfolio, see balances across chains, or review trade positions.
emblem-market-research
emblemcompany/agent-skills
Crypto market intelligence via EmblemAI. Trending tokens, on-chain analytics, derivatives data, and smart money tracking from CoinGecko, CoinGlass, Birdeye, and Nansen. Use when the user wants market data, trending tokens, derivatives analytics, or on-chain intelligence.
emblem-ai-agent-wallet
emblemcompany/agent-skills
Connect to EmblemVault and manage wallet-aware workflows via EmblemAI with review-first, operator-controlled actions. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Also use when the user needs Emblem's auth model explained: one browser auth flow can log a user in with wallets, email/password, or social sign-in, while agent mode can auto-provision a profile-scoped wallet with no manual setup.
emblem-ai-prompt-examples
emblemcompany/agent-skills
Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.
emblem-ai-react
emblemcompany/agent-skills
React integration skill for EmblemAI's one-shot user management. Use when the user wants to add website authentication plus wallet-enabled users to a React app with EmblemAuthProvider, ConnectButton, social/email/wallet login, chat components, React auth hooks, React composition patterns, or Migrate.fun React hooks.
emblem-ai
emblemcompany/agent-skills
One-shot user management for apps, multi-chain wallet authentication, an AI-powered assistant, and AI app introspection. Use when the user wants to let website users sign in with wallets, email/password, or social login and give each user a wallet-enabled account, then embed EmblemAI chat surfaces, connect plugins, or add Reflexive observability. Provides React components, TypeScript SDKs, session-based authentication, and pointers to the React and agent-wallet skills for specialized workflows.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available