Emblemai Crypto Wallet
sickn33/agentic-awesome-skills
Crypto wallet management across 7 blockchains via EmblemAI Agent Hustle API.
Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity
$ npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agiprolabs/claude-trading-skills birdeye-api --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/birdeye-api .claude/skills/birdeye-api && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "birdeye-api" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-api into .claude/skills/birdeye-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "birdeye-api", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-apiType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agiprolabs/claude-trading-skills birdeye-api --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/birdeye-api .agents/skills/birdeye-api && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "birdeye-api" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-api into .agents/skills/birdeye-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "birdeye-api", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agiprolabs/claude-trading-skills birdeye-api --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/birdeye-api .cursor/skills/birdeye-api && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "birdeye-api" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-api into .cursor/skills/birdeye-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "birdeye-api", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agiprolabs/claude-trading-skills.git --path skills/birdeye-api--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agiprolabs/claude-trading-skills birdeye-api --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/birdeye-api .gemini/skills/birdeye-api && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "birdeye-api" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-api into .gemini/skills/birdeye-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "birdeye-api", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agiprolabs/claude-trading-skills birdeye-apiInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/birdeye-api .github/skills/birdeye-api && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "birdeye-api" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-api into .github/skills/birdeye-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "birdeye-api", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agiprolabs/claude-trading-skills birdeye-api --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/birdeye-api .opencode/skills/birdeye-api && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "birdeye-api" agent skill from https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/birdeye-api into .opencode/skills/birdeye-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "birdeye-api", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
birdeye-apiSolana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity
Birdeye API is an agent skill from agiprolabs/claude-trading-skills. Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/birdeye_endpoints.md`, `references/error_handling.md` and `references/token_overview_fields.md`).
It sits in Business, Finance & HR, covering Stock and market analysis. It works with Solana. The repository describes itself as: 68 trading, DeFi, and quantitative finance Agent Skills. Works with Claude Code, Cursor, Codex, Gemini CLI, and 30+ other tools. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 981e1d7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
public-api.birdeye.soAlso links to:
birdeye.soFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
BIRDEYE_API_KEYAPI_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Birdeye API loads about 1.8k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 450 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from agiprolabs/claude-trading-skills at commit 981e1d7, republished under its MIT licence (© agiprolabs). 450 words, ~1,840 tokens.
.claude/skills/birdeye-api/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Birdeye aggregates market data across all Solana DEXes (and 13 other chains). Prices, OHLCV candles, trade history, token metadata, security info, and wallet analytics. Primary data source for Solana token research and historical analysis.
Note: For real-time trading systems, use Yellowstone gRPC (see yellowstone-grpc skill). Birdeye is best for historical data, research, and analysis workflows.
Sign up at birdeye.so — free tier: 30K compute units/month, 1 req/sec.
export BIRDEYE_API_KEY="your-api-key"uv pip install httpx pandas python-dotenvimport httpx, os
API_KEY = os.environ["BIRDEYE_API_KEY"]
headers = {"X-API-KEY": API_KEY, "x-chain": "solana", "accept": "application/json"}
# Get SOL price
resp = httpx.get(
"https://public-api.birdeye.so/defi/price",
headers=headers,
params={"address": "So11111111111111111111111111111111111111112"},
)
price = resp.json()["data"]["value"]
print(f"SOL: ${price}")All endpoints use base URL https://public-api.birdeye.so with X-API-KEY and x-chain headers.
# Single token price (10 CU)
GET /defi/price?address=TOKEN_MINT
# Multiple token prices (variable CU)
POST /defi/multi_price
Body: {"addresses": ["MINT1", "MINT2", "MINT3"]}
# Price at specific timestamp (10 CU)
GET /defi/historical_price_unix?address=TOKEN_MINT&unixtime=1700000000
# Historical price series (60 CU)
GET /defi/history_price?address=TOKEN_MINT&address_type=token&type=15m&time_from=T1&time_to=T2The primary endpoint for backtesting data.
# Token OHLCV (40 CU, max 1000 candles per request)
GET /defi/ohlcv?address=TOKEN_MINT&type=15m&time_from=T1&time_to=T2Timeframes: 1m, 3m, 5m, 15m, 30m, 1H, 2H, 4H, 6H, 8H, 12H, 1D, 3D, 1W, 1M
Response:
{
"data": {
"items": [
{"o": 23.5, "h": 24.1, "l": 23.2, "c": 23.8, "v": 1234567.89, "unixTime": 1692175200, "type": "15m"}
]
},
"success": true
}Pagination for long history: Max 1000 candles per request. At 15m intervals, 1000 candles ≈ 10.4 days. Slide time_from/time_to windows for longer history.
# Pair OHLCV (40 CU)
GET /defi/ohlcv/pair?address=PAIR_ADDRESS&type=1H&time_from=T1&time_to=T2Comprehensive metadata + market data in one call.
# Token overview (30 CU)
GET /defi/token_overview?address=TOKEN_MINTReturns: name, symbol, decimals, logoURI, liquidity, price, mc (market cap), supply, price changes (30m/1h/2h/4h/6h/8h/12h/24h), trade counts, buy/sell volumes, unique wallets, and social links.
See references/birdeye_endpoints.md for full field listing.
Pre-trade safety check — essential before entering any new token.
# Token security (50 CU)
GET /defi/token_security?address=TOKEN_MINTReturns:
creatorAddress, ownerAddress — who controls the tokentop10HolderPercent — concentration riskmutableMetadata — can metadata be changed?freezeable, freezeAuthority — can tokens be frozen?transferFeeEnable — Token-2022 transfer fees?isToken2022 — which token program?lockInfo — LP lock detailsQuick safety checks:
ownerAddress != null (supply can increase)ownerAddress == null (no mint authority)mutableMetadata == truefreezeable == true# Recent trades for a token (10 CU)
GET /defi/txs/token?address=TOKEN_MINT&limit=50&tx_type=swap
# Trades by time range (15 CU)
GET /defi/txs/token/seek_by_time?address=TOKEN_MINT&after_time=UNIX_TS&limit=50
# WARNING: do NOT pass both before_time and after_time — returns 422Trade response fields: txHash, source (DEX), blockUnixTime, owner (trader), from (token sent), to (token received) with amounts and prices.
# Top traders for a token (30 CU)
GET /defi/v2/tokens/top_traders?address=TOKEN_MINT&time_frame=24h&sort_by=volume&limit=10Returns: owner, volume, volumeBuy, volumeSell, trade, tradeBuy, tradeSell, tags (e.g., "arbitrage-bot", "sniper-bot").
# New token listings (80 CU)
GET /defi/v2/tokens/new_listing?time_to=UNIX_TS&limit=10&meme_platform_enabled=trueReturns tokens listed within ~3 days with liquidity ≥ $10. Set meme_platform_enabled=true to include PumpFun tokens.
# Trending tokens (50 CU)
GET /defi/token_trending?sort_by=rank&sort_type=asc&limit=20# Token holders (50 CU)
GET /defi/v3/token/holder?address=TOKEN_MINT# Search tokens/markets (50 CU)
GET /defi/v3/search?keyword=bonk&chain=solanaRate limited: 30 rpm across all wallet endpoints regardless of tier.
# Wallet portfolio (100 CU)
GET /v1/wallet/token_list?wallet=WALLET_ADDRESS
# Single token balance (5 CU)
GET /v1/wallet/token_balance?wallet=WALLET&token_address=TOKEN_MINT
# Wallet transaction history (150 CU)
GET /v1/wallet/tx_list?wallet=WALLET_ADDRESS
# Wallet net worth (100 CU)
GET /wallet/v2/current-net-worth?wallet=WALLET_ADDRESS
# Wallet PnL (variable CU)
GET /wallet/v2/pnl?wallet=WALLET_ADDRESSReal-time streaming for price, trades, and new listings. Requires Premium Plus ($250/mo) or higher.
# Connection URL
wss://public-api.birdeye.so/socket/solana?x-api-key=YOUR_KEY
# Required headers
Origin: ws://public-api.birdeye.so
Sec-WebSocket-Protocol: echo-protocol
# Subscribe to price updates
{"type": "SUBSCRIBE_PRICE", "data": {"chartType": "1m", "address": "TOKEN", "currency": "usd"}}
# Subscribe to trades
{"type": "SUBSCRIBE_TXS", "data": {"address": "TOKEN"}}
# Subscribe to new listings
{"type": "SUBSCRIBE_TOKEN_NEW_LISTING", "data": {}}Max 100 tokens per connection. Channels: SUBSCRIBE_PRICE, SUBSCRIBE_TXS, SUBSCRIBE_TOKEN_NEW_LISTING, SUBSCRIBE_NEW_PAIR, SUBSCRIBE_LARGE_TRADE_TXS, SUBSCRIBE_WALLET_TXS, SUBSCRIBE_TOKEN_STATS.
| Tier | Price/mo | CU | Rate Limit |
|---|---|---|---|
| Free | $0 | 30K | 1 rps |
| Lite | $39 | 1.5M | 15 rps |
| Starter | $99 | 5M | 15 rps |
| Premium | $199 | 15M | 50 rps |
| Premium Plus | $250 | 20M | 50 rps + WebSocket |
| Business | $499-$2,300 | 50M-500M | 100-150 rps |
CU planning: Free tier (30K CU) = ~750 price calls OR ~375 OHLCV calls/month. Budget accordingly.
references/birdeye_endpoints.md — Complete endpoint listing with parameters, CU costs, and response fieldsreferences/error_handling.md — Error codes, rate limits, retry strategies, CU optimizationreferences/token_overview_fields.md — Full field reference for token_overview responsescripts/fetch_ohlcv.py — Fetch OHLCV candle data with pagination for backtestingscripts/token_screener.py — Screen tokens using overview, security, and trader data© agiprolabs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (scripts, references) in skills/birdeye-api of agiprolabs/claude-trading-skills.
Open the folder on GitHubat commit 981e1d7
Birdeye API next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Birdeye API this skillagiprolabs/claude-trading-skills | 410 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Emblemai Crypto Walletsickn33/agentic-awesome-skills | 47k | 2 repos | ~669 | Automated safety check: Pass | MIT | |
| Binance Token InfoTermiX-official/cryptoclaw | 100 | — | ~767 | Automated safety check: Pass | MIT | |
| Onchainsundial-org/awesome-openclaw-skills | 663 | — | ~2.2k | Automated safety check: Pass | None | |
| Alpaca CLIalpacahq/cli | 178 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| YfinanceSilvioBaratto/optimizer | 176 | — | ~4k | Automated safety check: Notes | Custom licence |
sickn33/agentic-awesome-skills
Crypto wallet management across 7 blockchains via EmblemAI Agent Hustle API.
TermiX-official/cryptoclaw
Binance Web3 official skill — search tokens, retrieve metadata, real-time market data, and candlestick charts across BSC, Base, and Solana.
sundial-org/awesome-openclaw-skills
CLI for crypto portfolio tracking, market data, CEX history, and transaction lookups.
alpacahq/cli
Install, configure, and use the Alpaca CLI - a command-line tool for the Alpaca Trading API.
SilvioBaratto/optimizer
Load proactively whenever the user works with yfinance or Yahoo Finance data — pulling price history, fetching financials or analyst data, screening stocks / funds / ETFs, streaming real-time…
helsome/folio
Market intelligence: strategy screener, popularity rankings, top movers with news correlation, quote anomalies, index/ETF constituent stocks, morning briefings, catalyst monitoring for watchlist…
agiprolabs/claude-trading-skills
Event-driven backtesting with bar-by-bar execution, complex order types, multiple analyzers, and custom indicators
agiprolabs/claude-trading-skills
Broad crypto market data from CoinGecko covering 13,000+ tokens.
agiprolabs/claude-trading-skills
Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis
agiprolabs/claude-trading-skills
Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
agiprolabs/claude-trading-skills
Cross-asset correlation analysis including rolling correlation, hierarchical clustering, tail dependence, and regime-dependent correlation
agiprolabs/claude-trading-skills
Multi-method cost basis computation including specific identification, FIFO, LIFO, HIFO, and proportional average cost with partial sell handling
Works with
Categories
Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity. Birdeye API is an agent skill from agiprolabs/claude-trading-skills.
Birdeye API fits situations like: tasks that involve Stock and market analysis.
Run `npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a claude-code`. Or copy the skill folder (skills/birdeye-api in agiprolabs/claude-trading-skills) into .claude/skills/birdeye-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a codex`. Or copy the skill folder (skills/birdeye-api in agiprolabs/claude-trading-skills) into .agents/skills/birdeye-api in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agiprolabs/claude-trading-skills --skill birdeye-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/birdeye-api, .gemini/skills/birdeye-api, .github/skills/birdeye-api and .opencode/skills/birdeye-api in your project.
Going by SKILL.md and its folder, Birdeye API needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named BIRDEYE_API_KEY and API_KEY. Our summary lists: Python 3; A credential in BIRDEYE_API_KEY; A credential in API_KEY.
SKILL.md names 2 domains. In commands or code: public-api.birdeye.so; the agent is likely to contact it when it follows the instructions. As links in the text: birdeye.so. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Birdeye API is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Birdeye API: Emblemai Crypto Wallet (sickn33/agentic-awesome-skills, 47k stars), Binance Token Info (TermiX-official/cryptoclaw, 100 stars), Onchain (sundial-org/awesome-openclaw-skills, 663 stars) and Alpaca CLI (alpacahq/cli, 178 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agiprolabs (a GitHub user) maintains it in agiprolabs/claude-trading-skills, which has 410 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on September 3, 2026.
Source: agiprolabs/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.