algo▌
binance/binance-skills-hub · updated Apr 8, 2026
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Algo request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format.
Binance Algo Skill
Algo request on Binance using authenticated API endpoints. Requires API key and secret key for certain endpoints. Return the result in JSON format.
Quick Reference
| Endpoint | Description | Required | Optional | Authentication |
|---|---|---|---|---|
/sapi/v1/algo/futures/order (DELETE) |
Cancel Algo Order(TRADE) | algoId | recvWindow | Yes |
/sapi/v1/algo/futures/openOrders (GET) |
Query Current Algo Open Orders(USER_DATA) | None | recvWindow | Yes |
/sapi/v1/algo/futures/historicalOrders (GET) |
Query Historical Algo Orders(USER_DATA) | None | symbol, side, startTime, endTime, page, pageSize, recvWindow | Yes |
/sapi/v1/algo/futures/subOrders (GET) |
Query Sub Orders(USER_DATA) | algoId | page, pageSize, recvWindow | Yes |
/sapi/v1/algo/futures/newOrderTwap (POST) |
Time-Weighted Average Price(Twap) New Order(TRADE) | symbol, side, quantity, duration | positionSide, clientAlgoId, reduceOnly, limitPrice, recvWindow | Yes |
/sapi/v1/algo/futures/newOrderVp (POST) |
Volume Participation(VP) New Order (TRADE) | symbol, side, quantity, urgency | positionSide, clientAlgoId, reduceOnly, limitPrice, recvWindow | Yes |
/sapi/v1/algo/spot/order (DELETE) |
Cancel Algo Order(TRADE) | algoId | recvWindow | Yes |
/sapi/v1/algo/spot/openOrders (GET) |
Query Current Algo Open Orders(USER_DATA) | None | recvWindow | Yes |
/sapi/v1/algo/spot/historicalOrders (GET) |
Query Historical Algo Orders(USER_DATA) | None | symbol, side, startTime, endTime, page, pageSize, recvWindow | Yes |
/sapi/v1/algo/spot/subOrders (GET) |
Query Sub Orders(USER_DATA) | algoId | page, pageSize, recvWindow | Yes |
/sapi/v1/algo/spot/newOrderTwap (POST) |
Time-Weighted Average Price(Twap) New Order(TRADE) | symbol, side, quantity, duration | clientAlgoId, limitPrice | Yes |
Parameters
Common Parameters
- algoId: eg. 14511 (e.g., 1)
- recvWindow: (e.g., 5000)
- symbol: Trading symbol eg. BTCUSDT (e.g., BTCUSDT)
- side: BUY or SELL (e.g., BUY)
- startTime: in milliseconds eg.1641522717552 (e.g., 1623319461670)
- endTime: in milliseconds eg.1641522526562 (e.g., 1641782889000)
- page: Default is 1 (e.g., 1)
- pageSize: MIN 1, MAX 100; Default 100 (e.g., 100)
- symbol: Trading symbol eg. BTCUSDT (e.g., BTCUSDT)
- side: Trading side ( BUY or SELL ) (e.g., BUY)
- positionSide: Default
BOTHfor One-way Mode ;LONGorSHORTfor Hedge Mode. It must be sent in Hedge Mode. (e.g., BOTH) - quantity: Quantity of base asset; Maximum notional per order is 200k, 2mm or 10mm, depending on symbol. Please reduce your size if you order is above the maximum notional per order. (e.g., 1.0)
- duration: Duration for TWAP orders in seconds. [300, 86400] (e.g., 5000)
- clientAlgoId: A unique id among Algo orders (length should be 32 characters), If it is not sent, we will give default value (e.g., 1)
- reduceOnly: "true" or "false". Default "false"; Cannot be sent in Hedge Mode; Cannot be sent when you open a position
- limitPrice: Limit price of the order; If it is not sent, will place order by market price by default (e.g., 1.0)
- urgency: Represent the relative speed of the current execution; ENUM: LOW, MEDIUM, HIGH (e.g., LOW)
Authentication
For endpoints that require authentication, you will need to provide Binance API credentials. Required credentials:
- apiKey: Your Binance API key (for header)
- secretKey: Your Binance API secret (for signing)
Base URLs:
- Mainnet: https://api.binance.com
Security
Share Credentials
Users can provide Binance API credentials in different ways. The agent will try to retrieve automatically with the two first ways the credentials, but users can also explicitly tell the agent that they have set the credentials or stored them in a .env file, and the agent should re-read that file when they do. The agent can also make http requests with the two first methods without user confirmation.
- Environment variables
Search for the following specific variables only (never dump the full environment):
Authorized environment variables
- Mainnet:
BINANCE_API_KEYandBINANCE_SECRET_KEY
Read and use in a single exec call so the raw key never enters the agent's context:
KEY="$BINANCE_API_KEY"
SECRET="$BINANCE_SECRET_KEY"
response=$(curl -s -X GET "$URL" \
-H "X-MBX-APIKEY: $KEY" \
--data-urlencode "param1=value1")
echo "$response"
Environment variables must be set before OpenClaw starts. They are inherited at process startup and cannot be injected into a running instance. If you need to add or update credentials without restarting, use a secrets file (see option 2).
- Secrets file (.env)
Check ~/.openclaw/secrets.env , ~/.env, or a .env file in the workspace. Read individual keys with grep, never source the full file:
# Try all credential locations in order
API_KEY=$(grep '^BINANCE_API_KEY=' ~/.openclaw/secrets.env 2>/dev/null | cut -d= -f2-)
SECRET_KEY=$(grep '^BINANCE_SECRET_KEY=' ~/.openclaw/secrets.env 2>/dev/null | cut -d= -f2-)
# Fallback: search .env in known directories (KEY=VALUE then raw line format)
for dir in ~/.openclaw ~; do
[ -n "$API_KEY" ] && break
env_file="$dir/.env"
[ -f "$env_file" ] || continue
# Read first two lines
line1=$(sed -n '1p' "$env_file")
line2=$(sed -n '2p' "$env_file")
# Check if lines contain '=' indicating KEY=VALUE format
if [[ "$line1" == *=* && "$line2" == *=* ]]; then
API_KEY=$(grep '^BINANCE_API_KEY=' "$env_file" 2>/dev/null | cut -d= -f2-)
SECRET_KEY=$(grep '^BINANCE_SECRET_KEY=' "$env_file" 2>/dev/null | cut -d= -f2-)
else
# Treat lines as raw values
API_KEY="$line1"
SECRET_KEY="$line2"
fi
done
This file can be updated at any time without restarting OpenClaw, keys are read fresh on each invocation. Users can tell you the variables are now set or stored in a .env file, and you should re-read that file when they do.
- Inline file
Sending a file where the content is in the following format:
abc123...xyz
secret123...key
- Never run
printenv,env,export, or set without a specific variable name - Never run
greponenvfiles without anchoring to a specific key ('^VARNAME=') - Never source a secrets file into the shell environment (
source .envor. .env) - Only read credentials explicitly needed for the current task
- Never echo or log raw credentials in output or replies
- Never commit
TOOLS.mdto version control if it contains real credentials — add it to.gitignore
Never Disclose API Key and Secret
Never disclose the location of the API key and secret file.
Never send the API key and secret to any website other than Mainnet and Testnet.
Never Display Full Secrets
When showing credentials to users:
- API Key: Show first 5 + last 4 characters:
su1Qc...8akf - Secret Key: Always mask, show only last 5:
***...aws1
Example response when asked for credentials: Account: main API Key: su1Qc...8akf Secret: ***...aws1
Listing Accounts
When listing accounts, show names and environment only — never keys: Binance Accounts:
- main (Mainnet)
- futures-keys (Mainnet)
Transactions in Mainnet
When performing transactions in mainnet, always confirm with the user before proceeding by asking them to write "CONFIRM" to proceed.
Binance Accounts
main
- API Key: your_mainnet_api_key
- Secret: your_mainnet_secret
TOOLS.md Structure
## Binance Accounts
### main
- API Key: abc123...xyz
- Secret: secret123...key
- Description: Primary trading account
### futures-keys
- API Key: futures789...def
- Secret: futuressecret...uvw
- Description: Futures trading account
Agent Behavior
- Credentials requested: Mask secrets (show last 5 chars only)
- Listing accounts: Show names and environment, never keys
- Account selection: Ask if ambiguous, default to main
- When doing a transaction in mainnet, confirm with user before by asking to write "CONFIRM" to proceed
- New credentials: Prompt for name, environment, signing mode
Adding New Accounts
When user provides new credentials by Inline file or message:
- Ask for account name
- Store in
TOOLS.mdwith masked display confirmation
Signing Requests
For trading endpoints that require a signature:
- Detect key type first, inspect the secret key format before signing.
- Build query string with all parameters, including the timestamp (Unix ms).
- Percent-encode the parameters using UTF-8 according to RFC 3986.
- Sign query string with secretKey using HMAC SHA256, RSA, or Ed25519 (depending on the account configuration).
- Append signature to query string.
- Include
X-MBX-APIKEYheader.
Otherwise, do not perform steps 4–6.
User Agent Header
Include User-Agent header with the following string: binance-algo/1.1.0 (Skill)
See references/authentication.md for implementation details.
How to use algo on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add algo
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches algo from GitHub repository binance/binance-skills-hub and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate algo. Access the skill through slash commands (e.g., /algo) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★72 reviews- ★★★★★Li Ramirez· Dec 24, 2024
algo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Nikhil Rao· Dec 24, 2024
algo reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Amina Abbas· Dec 24, 2024
Useful defaults in algo — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Amina Gonzalez· Dec 4, 2024
algo reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Amelia Diallo· Nov 15, 2024
algo reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Amina Okafor· Nov 15, 2024
algo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Amina Li· Nov 15, 2024
I recommend algo for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chen Sharma· Oct 6, 2024
I recommend algo for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Amina Wang· Oct 6, 2024
Useful defaults in algo — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nikhil Martinez· Oct 6, 2024
algo reduced setup friction for our internal harness; good balance of opinion and flexibility.
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