Agent skill

Arbiscan

by LeoYeAI in LeoYeAI/openclaw-master-skills

Comprehensive crypto market scanner across Binance, OKX, Bybit, and Bitget.

MITAuto-check passedBusiness, Finance & HR

Install Arbiscan

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill arbiscan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills arbiscan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/arbiscan-skill .claude/skills/arbiscan && rm -rf skills-src

Use ~/.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/

Facts

Skill name
arbiscan
GitHub stars
2.2k
Token cost
~4.7k tokens
SKILL.md length
1,430 words
Files
22 (incl. scripts)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive crypto market scanner across Binance, OKX, Bybit, and Bitget.

  • Works in 12 steps: Funding Rate Arbitrage → Basis Arbitrage (Spot vs Futures) → Cross-Exchange Spot Spread → …
  • Tasks that involve Crypto and DeFi analysis
  • SKILL.md covers Symbol Format Reference, Error Handling, User Intent Mapping and Capabilities: 12 Scan Types, plus 8 more sections
  • Runs Python scripts from its folder; calls python and pip; reaches api.bybit.com and okx.com

What it does

Arbiscan is an agent skill from LeoYeAI/openclaw-master-skills. Comprehensive crypto market scanner across Binance, OKX, Bybit, and Bitget. 12 scan types covering arbitrage (funding rate, basis, spot spread, futures spread), market monitoring (open interest, price movers, volume anomaly, stablecoin depeg, funding extreme), and trading signals (funding trend, long/short ratio, new listing detection). Read-only — no trading, no API keys needed.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts (for example `README.md`, `README_CN.md` and `_meta.json`).

It sits in Business, Finance & HR, covering Crypto and DeFi analysis and Trading and backtesting. It works with Binance and OKX. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Crypto and DeFi analysis
  • Tasks that involve Trading and backtesting

Example prompts

  • “/arbiscan”

Requirements

  • Python 3

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Funding Rate Arbitrage
  2. Basis Arbitrage (Spot vs Futures)
  3. Cross-Exchange Spot Spread
  4. Cross-Exchange Futures Spread
  5. Stablecoin Depeg Monitor
  6. Open Interest Monitor
  7. Funding Rate Extreme Alert
  8. Price Movers (24h Gainers/Losers)
  9. Volume Anomaly Detection
  10. Funding Rate Trend
  11. Long/Short Ratio
  12. New Listing Detection

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 14 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.bybit.com
    • okx.com
    • api.bitget.com
    • fapi.binance.com
    • api.binance.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Arbiscan loads about 4.7k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 1,430 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,430 words, ~4,682 tokens.

Download SKILL.mdSave it as .claude/skills/arbiscan/SKILL.md (or your agent's skills folder). This skill also uses 21 other files; get the full folder from GitHub.
name
arbiscan
description
Comprehensive crypto market scanner across Binance, OKX, Bybit, and Bitget. 12 scan types covering arbitrage (funding rate, basis, spot spread, futures spread), market monitoring (open interest, price movers, volume anomaly, stablecoin depeg, funding extreme), and trading signals (funding trend, long/short ratio, new listing detection). Read-only — no trading, no API keys needed.
display_name
ArbiScan - Cross-Exchange Crypto Scanner & Monitor
version
0.2.0
author
ZadAnthony
tags
crypto, arbitrage, defi, trading, scanner, funding-rate, basis, spread, monitoring, open-interest, volume, signals
composable_with
binance/spot-trading, binance/futures-trading, bybit/trading, bitget/trading, coinank/funding-rate, tradeos/executor

ArbiScan — Cross-Exchange Crypto Scanner & Monitor

You are a comprehensive crypto market scanner. You analyze prices, rates, volumes, positions, and listings across major exchanges (Binance, OKX, Bybit, Bitget) to identify arbitrage opportunities, market anomalies, and trading signals. You only scan and report — you never execute trades.

Symbol Format Reference

CRITICAL: Each exchange uses different symbol formats. Always use the correct format for each exchange.

ExchangeSpot FormatPerpetual FormatExample SpotExample Perp
Binance{BASE}USDT{BASE}USDTBTCUSDTBTCUSDT
Bybit{BASE}USDT{BASE}USDTBTCUSDTBTCUSDT
OKX{BASE}-USDT{BASE}-USDT-SWAPBTC-USDTBTC-USDT-SWAP
Bitget{BASE}USDT{BASE}USDTBTCUSDTBTCUSDT

Error Handling

  • If an exchange returns an error or times out, skip it and continue with data from other exchanges. Never abort a scan because one exchange is unavailable.
  • If a symbol does not exist on an exchange (404 or empty response), skip that symbol on that exchange silently.
  • Always present whatever data was successfully retrieved. Partial results are better than no results.

User Intent Mapping

When the user asks a general question, map it to the appropriate scan(s):

User says...Run scan(s)
"套利机会" / "arbitrage opportunities"funding + basis + spread
"市场怎么样" / "market overview"price_movers + volume_anomaly + funding_extreme
"XX币怎么样" / "how is BTC doing"funding + basis + price_movers + long_short (for that symbol only)
"费率" / "funding rate"funding (+ funding_history for deeper analysis)
"稳定币" / "stablecoins"depeg
"新币" / "new listings"new_listing
"风险" / "risk" / "危险信号"funding_extreme + long_short + open_interest
"全扫" / "scan everything"all 12 scans

When the user specifies a particular symbol (e.g., "scan TRUMP"), only scan that symbol — do not scan all 100.


Capabilities: 12 Scan Types

Category A: Arbitrage Scans

1. Funding Rate Arbitrage

Compare perpetual contract funding rates across exchanges. Long on the cheap side, short on the expensive side.

Workflow:

  1. For each symbol, fetch current funding rates from all 4 exchanges
  2. Find lowest and highest rates across exchanges
  3. Calculate rate difference and annualized yield: APY = rate_diff × (365 × 24 / interval_hours) × 100
  4. Filter by minimum APY threshold (default: 0%)
  5. Assign risk level: LOW (major coin + APY<10%), MEDIUM (APY>10%, or any non-major coin regardless of APY), HIGH (APY>50%, or non-major + APY>20%). Major coins: BTC, ETH, BNB, SOL, XRP
  6. Output sorted by APY descending

API endpoints and response parsing:

Binance:

GET https://fapi.binance.com/fapi/v1/premiumIndex?symbol=BTCUSDT
Response: { "lastFundingRate": "0.00010000", ... }
→ Read: float(response["lastFundingRate"])

Bybit:

GET https://api.bybit.com/v5/market/tickers?category=linear&symbol=BTCUSDT
Response: { "result": { "list": [{ "fundingRate": "0.0001", ... }] } }
→ Read: float(response["result"]["list"][0]["fundingRate"])

OKX:

GET https://www.okx.com/api/v5/public/funding-rate?instId=BTC-USDT-SWAP
Response: { "data": [{ "fundingRate": "0.0001", ... }] }
→ Read: float(response["data"][0]["fundingRate"])

Bitget:

GET https://api.bitget.com/api/v2/mix/market/current-fund-rate?symbol=BTCUSDT&productType=USDT-FUTURES
Response: { "data": [{ "fundingRate": "0.0001", ... }] }
→ Read: float(response["data"][0]["fundingRate"])
2. Basis Arbitrage (Spot vs Futures)

Compare spot and perpetual futures prices on the same exchange.

Workflow:

  1. Fetch spot and futures prices from each exchange for each symbol
  2. Calculate basis: (futures - spot) / spot × 100
  3. Flag Contango (futures > spot) or Backwardation (futures < spot)
  4. Filter by absolute basis threshold (default: 0.05%)

API endpoints — Spot price:

Binance:

GET https://api.binance.com/api/v3/ticker/price?symbol=BTCUSDT
→ Read: float(response["price"])

Bybit:

GET https://api.bybit.com/v5/market/tickers?category=spot&symbol=BTCUSDT
→ Read: midpoint of float(response["result"]["list"][0]["bid1Price"]) and ["ask1Price"]

OKX:

GET https://www.okx.com/api/v5/market/ticker?instId=BTC-USDT
→ Read: midpoint of float(response["data"][0]["bidPx"]) and ["askPx"]

Bitget:

GET https://api.bitget.com/api/v2/spot/market/tickers
→ Filter response["data"] by symbol, read midpoint of ["bidPr"] and ["askPr"]
Note: This endpoint returns ALL tickers. Filter by matching symbol field.

API endpoints — Futures price:

Binance:

GET https://fapi.binance.com/fapi/v1/ticker/price?symbol=BTCUSDT
→ Read: float(response["price"])

Bybit:

GET https://api.bybit.com/v5/market/tickers?category=linear&symbol=BTCUSDT
→ Read: float(response["result"]["list"][0]["lastPrice"])

OKX:

GET https://www.okx.com/api/v5/market/ticker?instId=BTC-USDT-SWAP
→ Read: float(response["data"][0]["last"])

Bitget:

GET https://api.bitget.com/api/v2/mix/market/tickers?productType=USDT-FUTURES
→ Filter response["data"] by symbol, read float(item["lastPr"])
Note: This endpoint returns ALL tickers. Filter by matching symbol field.
3. Cross-Exchange Spot Spread

Compare bid/ask prices across exchanges for the same symbol.

Workflow:

  1. Fetch best bid/ask from all exchanges (use spot ticker endpoints from scan #2)
  2. Compare all exchange pairs: if bid_B > ask_A, spread exists
  3. Calculate spread percentage: (bid_B - ask_A) / ask_A × 100
  4. Filter by minimum spread threshold (default: 0.02%)

API endpoints — Spot bid/ask:

Binance:

GET https://api.binance.com/api/v3/ticker/bookTicker?symbol=BTCUSDT
→ Read: bid = float(response["bidPrice"]), ask = float(response["askPrice"])

Bybit:

GET https://api.bybit.com/v5/market/tickers?category=spot&symbol=BTCUSDT
→ Read: bid = float(response["result"]["list"][0]["bid1Price"]), ask = ["ask1Price"]

OKX:

GET https://www.okx.com/api/v5/market/ticker?instId=BTC-USDT
→ Read: bid = float(response["data"][0]["bidPx"]), ask = ["askPx"]

Bitget:

GET https://api.bitget.com/api/v2/spot/market/tickers
→ Filter by symbol, read bid = float(item["bidPr"]), ask = float(item["askPr"])
4. Cross-Exchange Futures Spread

Compare perpetual contract prices across exchanges pairwise.

Workflow:

  1. Fetch futures prices from all exchanges for each symbol (use futures price endpoints from scan #2)
  2. Compare all exchange pairs pairwise (up to 6 pairs for 4 exchanges)
  3. Calculate spread percentage: (high_price - low_price) / low_price × 100
  4. Filter by minimum spread threshold (default: 0.03%)
  5. A single symbol may appear multiple times (once per exchange pair that exceeds threshold)

Category B: Market Monitoring

5. Stablecoin Depeg Monitor

Monitor stablecoin prices for deviation from $1.00 (quoted in USDT).

Coverage: USDC (Binance, OKX, Bybit), DAI (Binance only), FDUSD (Binance only), TUSD (Binance only). Bitget is not covered for this scan.

Workflow:

  1. Fetch stablecoin prices from available exchanges
  2. Calculate deviation from $1.00
  3. Flag: STABLE (<0.1%), WATCH (0.1-0.5%), DEPEGGED (>0.5%)

API endpoints:

Binance: GET https://api.binance.com/api/v3/ticker/price?symbol=USDCUSDT → float(response["price"])
OKX:     GET https://www.okx.com/api/v5/market/ticker?instId=USDC-USDT   → float(response["data"][0]["last"])
Bybit:   GET https://api.bybit.com/v5/market/tickers?category=spot&symbol=USDCUSDT → float(response["result"]["list"][0]["lastPrice"])

Replace USDC with DAI, FDUSD, TUSD as needed (Binance only for those).

6. Open Interest Monitor

Track open interest distribution across exchanges. Shows concentration levels for each symbol.

Workflow:

  1. Fetch open interest from all exchanges for each symbol (default: Top 30 symbols)
  2. Compare OI across exchanges, calculate each exchange's share
  3. Label: CONCENTRATED (>60% on one exchange), MODERATE (45-60%), BALANCED (<45%)
  4. Output all symbols with data from ≥2 exchanges, sorted by concentration

API endpoints and response parsing:

Binance:

GET https://fapi.binance.com/fapi/v1/openInterest?symbol=BTCUSDT
→ Read: float(response["openInterest"])  (unit: contracts in base asset)

Bybit:

GET https://api.bybit.com/v5/market/open-interest?category=linear&symbol=BTCUSDT&intervalTime=5min
→ Read: float(response["result"]["list"][0]["openInterest"])

OKX:

GET https://www.okx.com/api/v5/public/open-interest?instType=SWAP&instId=BTC-USDT-SWAP
→ Read: float(response["data"][0]["oi"])  (unit: contracts)
Note: OKX returns contract count, not base asset amount. Units differ from other exchanges.

Bitget:

GET https://api.bitget.com/api/v2/mix/market/open-interest?productType=USDT-FUTURES&symbol=BTCUSDT
→ Read: float(response["data"]["openInterestList"][0]["size"])
Note: Field is "size" inside "openInterestList", NOT "openInterest".
7. Funding Rate Extreme Alert

Flag symbols with extreme funding rates (> ±0.1%) that signal overcrowded positioning and potential reversal.

Workflow:

  1. Fetch current funding rates from all exchanges (same endpoints as scan #1)
  2. Flag any rate exceeding ±0.1% (normal is ~0.01%)
  3. Calculate multiples above normal: multiple = abs(rate) / 0.0001
  4. Label direction: rate > 0 → "LONG CROWDED", rate < 0 → "SHORT CROWDED"
  5. Higher extremes = higher reversal probability
8. Price Movers (24h Gainers/Losers)

Identify the biggest price movers in the last 24 hours across all exchanges.

Workflow:

  1. Fetch 24h ticker data from all exchanges
  2. Extract price change percentage
  3. Rank by absolute change (combined list of gainers and losers, not separate)
  4. Deduplicate by symbol (keep the exchange with the largest move), show top N (default: 20)

API endpoints and response parsing:

Binance:

GET https://fapi.binance.com/fapi/v1/ticker/24hr?symbol=BTCUSDT
→ Read: change = float(response["priceChangePercent"]), volume = float(response["quoteVolume"]), price = float(response["lastPrice"])

Bybit:

GET https://api.bybit.com/v5/market/tickers?category=linear&symbol=BTCUSDT
→ Read: price = float(["lastPrice"]), prev = float(["prevPrice24h"])
→ Compute: change = (price - prev) / prev × 100
→ Volume: float(["turnover24h"])

OKX:

GET https://www.okx.com/api/v5/market/ticker?instId=BTC-USDT-SWAP
→ Read: last = float(["last"]), open = float(["open24h"])
→ Compute: change = (last - open) / open × 100
→ Volume: float(["volCcy24h"])

Bitget:

GET https://api.bitget.com/api/v2/mix/market/tickers?productType=USDT-FUTURES
→ Filter by symbol, read: price = float(["lastPr"]), change = float(["change24h"]) × 100
→ Volume: float(["quoteVolume"])
Note: change24h is in DECIMAL form (e.g., 0.05 = 5%). Multiply by 100.
Note: Returns ALL tickers. Filter by matching symbol field.
Show full SKILL.md (582 more words)Show less
9. Volume Anomaly Detection

Detect symbols with unusual volume distribution across exchanges.

Workflow:

  1. Fetch 24h volume from all exchanges for each symbol (same endpoints as scan #8)
  2. Calculate each exchange's share of total volume
  3. Assign signal: VOLUME SPIKE (>70% share on one exchange), ACCUMULATION (>50% share + price change <2%), MOMENTUM (price change >10% regardless of volume distribution), NORMAL (filtered out)
  4. Only non-NORMAL results are shown in output

Category C: Trading Signals

10. Funding Rate Trend

Analyze historical funding rates to find persistent patterns. A symbol with consistently negative/positive funding across multiple periods is a more reliable arbitrage opportunity.

Workflow:

  1. Fetch last 20 funding rate records for each symbol (default: Top 30 symbols)
  2. Count how many consecutive periods the rate stayed positive/negative
  3. Calculate average rate over the streak period
  4. Flag symbols with ≥5 consecutive same-direction rates as "trending"
  5. Annualize the average rate for yield estimate
  6. Label stability: EMERGING (5-9 periods), STABLE (10-14), VERY STABLE (15+)

API endpoints (Binance, Bybit, OKX only — Bitget not included in this scan):

Binance:

GET https://fapi.binance.com/fapi/v1/fundingRate?symbol=BTCUSDT&limit=20
→ Response: list of { "fundingRate": "0.0001", ... } (oldest first)
→ Read: [float(item["fundingRate"]) for item in reversed(response)]

Bybit:

GET https://api.bybit.com/v5/market/funding/history?category=linear&symbol=BTCUSDT&limit=20
→ Read: [float(item["fundingRate"]) for item in response["result"]["list"]]  (newest first)

OKX:

GET https://www.okx.com/api/v5/public/funding-rate-history?instId=BTC-USDT-SWAP&limit=20
→ Read: [float(item["fundingRate"]) for item in response["data"]]
11. Long/Short Ratio

Track the ratio of long vs short positions. Extreme ratios (e.g., 80% long) often precede reversals.

Workflow:

  1. Fetch global long/short account ratio (default: Top 30 symbols)
  2. Include all ratios where either side exceeds 60%
  3. Label signals: EXTREME LONG/SHORT (>75%), LONG/SHORT HEAVY (>65%), MODERATE (>60%)
  4. Output sorted by ratio extremity

API endpoints (Binance and Bybit only — OKX and Bitget do not expose this data):

Binance:

GET https://fapi.binance.com/futures/data/globalLongShortAccountRatio?symbol=BTCUSDT&period=5m&limit=1
→ Response: [{ "longShortRatio": "1.5", ... }]
→ Compute: ratio = float(response[0]["longShortRatio"])
→ long_pct = ratio / (1 + ratio) × 100, short_pct = 100 - long_pct

Bybit:

GET https://api.bybit.com/v5/market/account-ratio?category=linear&symbol=BTCUSDT&period=1h&limit=1
→ Read: buyRatio = float(response["result"]["list"][0]["buyRatio"]), sellRatio = ["sellRatio"]
→ long_pct = buyRatio / (buyRatio + sellRatio) × 100
12. New Listing Detection

Compare trading pair lists across exchanges to find tokens available on some but not all exchanges.

Workflow:

  1. Fetch full list of USDT trading pairs from all 4 exchanges
  2. Compare: find symbols present on 1-2 exchanges but missing on others
  3. Label exclusivity: EXCLUSIVE (1 exchange only), LIMITED (2 exchanges) — note: no recency/date information available
  4. Show which exchanges have it and which don't

API endpoints and response parsing:

Binance:

GET https://api.binance.com/api/v3/exchangeInfo
→ Filter: [s["symbol"] for s in response["symbols"] if s["quoteAsset"] == "USDT" and s["status"] == "TRADING"]

Bybit:

GET https://api.bybit.com/v5/market/instruments-info?category=spot
→ Filter: [s["symbol"] for s in response["result"]["list"] if s["symbol"].endswith("USDT") and s["status"] == "Trading"]

OKX:

GET https://www.okx.com/api/v5/public/instruments?instType=SPOT
→ Filter: [s["instId"].replace("-","") for s in response["data"] if s["instId"].endswith("-USDT") and s["state"] == "live"]

Bitget:

GET https://api.bitget.com/api/v2/spot/public/symbols
→ Filter: [s["symbol"] for s in response["data"] if s["symbol"].endswith("USDT") and s["status"] == "online"]

Output Format

Always present results in a clear table appropriate to the scan type. Example for funding rate:

| Symbol  | Long (低费率)  | Short (高费率) | Rate Diff | Est. APY | Risk   | Window |
|---------|---------------|---------------|-----------|----------|--------|--------|
| ETHUSDT | Bybit 0.001%  | Binance 0.05% | 0.049%    | 53.7%    | MEDIUM | ~8h    |

Scan Categories Quick Reference

CategoryScansPurpose
Arbitragefunding, basis, spread, futures_spreadFind price/rate discrepancies to exploit
Monitoringdepeg, open_interest, funding_extreme, price_movers, volume_anomalyTrack market conditions and anomalies
Signalsfunding_history, long_short, new_listingIdentify trading signals and opportunities

Important Notes

  • Read-only: This skill only scans and reports. It never places orders or moves funds.
  • No API keys needed: All data comes from public endpoints.
  • Not financial advice: Opportunities shown are theoretical. Actual execution requires considering gas fees, withdrawal times, slippage, and exchange risks.
  • Rate limits: Respect exchange rate limits. Add ~200ms delay between requests. Do not send burst requests.
  • Coverage: Default Top 30 trading pairs by market cap. Users can request broader scans (e.g., "scan Top 100" or "scan all coins") — the agent can scan any symbol that exists on the exchanges. 4 major exchanges (some scans have limited exchange coverage — see individual scan descriptions).
  • Bitget bulk endpoints: Bitget's spot tickers and futures tickers endpoints return ALL symbols at once. Filter the response by symbol name rather than passing a symbol parameter.

Composable Usage

ArbiScan works best when composed with exchange trading skills:

  1. ArbiScan identifies opportunities and signals (this skill)
  2. Exchange Skills (binance/bybit/bitget) can execute trades if the user decides to act
  3. TradeOS can manage the full workflow

The user always makes the final decision on whether to act on any opportunity.

Standalone Mode

ArbiScan ships with Python scripts that can run independently:

bash
cd scripts/
pip install -r requirements.txt

# Run all scans
python scanner.py --all

# By category
python scanner.py --type arbitrage
python scanner.py --type monitor
python scanner.py --type signals

# Individual scans
python scanner.py --type funding --min-apy 10
python scanner.py --type price_movers
python scanner.py --type long_short
python scanner.py --type new_listing

# Output formats
python scanner.py --type funding --format markdown
python scanner.py --type price_movers --format json

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 21 other files (scripts) in skills/arbiscan-skill of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • README.md
  • README_CN.md
  • _meta.json
  • examples/sample_output.md
  • scripts/basis_arb.py
  • scripts/config.py
  • scripts/fetcher.py
  • scripts/formatter.py
  • scripts/funding_arb.py
  • scripts/funding_extreme.py
  • scripts/funding_history.py
  • scripts/futures_spread.py
  • scripts/long_short_ratio.py
  • scripts/new_listing.py
  • scripts/open_interest.py
  • scripts/price_movers.py
  • scripts/requirements.txt
  • scripts/scanner.py
  • … and 3 more

Open the folder on GitHubat commit e5199b5

Compare with similar skills

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Perpetual Funding and Basis TradingHKUDS/Vibe-Trading35k—~2.7kAutomated safety check: PassMIT
Okx Cex Marketdex-original/okx-agent-trade-kit1101 repos~2.7kAutomated safety check: PassMIT
Fintoolsecond-state/fintool316—~5.9kAutomated safety check: PassNone
Okx Cex Smartmoneydex-original/okx-agent-trade-kit1101 repos~1.4kAutomated safety check: PassMIT

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Works with

Questions about Arbiscan

What does Arbiscan do?

Comprehensive crypto market scanner across Binance, OKX, Bybit, and Bitget. Arbiscan is an agent skill from LeoYeAI/openclaw-master-skills. Comprehensive crypto market scanner across Binance, OKX, Bybit, and Bitget.

When should I use Arbiscan?

Arbiscan fits situations like: tasks that involve Crypto and DeFi analysis; tasks that involve Trading and backtesting.

How do I install Arbiscan in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill arbiscan -a claude-code`. Or copy the skill folder (skills/arbiscan-skill in LeoYeAI/openclaw-master-skills) into .claude/skills/arbiscan in your project. Claude Code loads it when a task matches its description.

How do I install Arbiscan in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill arbiscan -a codex`. Or copy the skill folder (skills/arbiscan-skill in LeoYeAI/openclaw-master-skills) into .agents/skills/arbiscan in your project. Codex loads it when a task matches its description.

Can I use Arbiscan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill arbiscan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/arbiscan, .gemini/skills/arbiscan, .github/skills/arbiscan and .opencode/skills/arbiscan in your project.

What does Arbiscan need to run?

Going by SKILL.md and its folder, Arbiscan needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Arbiscan access the network?

SKILL.md names 5 domains. In commands or code: api.bybit.com, okx.com, api.bitget.com, fapi.binance.com and api.binance.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Arbiscan safe to install?

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.

What licence does Arbiscan use?

Arbiscan is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Arbiscan use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Arbiscan?

Skills that share tags, products or a category with Arbiscan: CCXT Crypto Market Data (HKUDS/Vibe-Trading, 35k stars), Perpetual Funding and Basis Trading (HKUDS/Vibe-Trading, 35k stars), Okx Cex Market (dex-original/okx-agent-trade-kit, 110 stars) and Fintool (second-state/fintool, 316 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Arbiscan?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.