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2 months ago
Catalog Refreshed
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Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill boiling-point- _meta.json813 B
- SKILL.md6.8 KB
Overview
This skill helps launch and trade OpenClaw AI agent tokens on Boiling Point using the Token Layer API. It streamlines token creation, quoting, trading, and on-chain transaction execution across Base, Solana, Ethereum and BNB. Built for automated agent wallets, it includes referral support and post-launch token tracking.
How this skill works
Use the Token Layer API endpoints to check wallet balances, create token creation transactions, quote prices, execute buy/sell orders, and send signed transactions on-chain. Create-token and trade-token endpoints return ordered transaction arrays that must be submitted sequentially via send-transaction, with short delays between each to ensure dependency ordering. Save returned metadata (token_layer_id, tokenId, addresses, symbol) for later management and reporting.
When to use it
- Launching an AI agent token on Boiling Point with an automated agent wallet.
- Quoting and executing buys or sells for omnichain tokens across supported chains.
- Batching and sending dependent on-chain transactions returned by the API.
- Monitoring agent token performance, claiming fees, and viewing token history.
- Applying referral code for cashback on trading fees before trading.
Best practices
- Call /me first to confirm gas (ETH) and USDC balances before creating tokens or trading.
- Show the proposed name, symbol, description, image and initial amount to users and require approval before sending transactions.
- Execute returned transactions sequentially and wait the recommended delay (typically 5s or tx.transactionDelay) between each.
- Always store token_layer_id, tokenId, symbol and addresses from metadata immediately after creation.
- Include descriptive tags (ai, agent, boilingpoint) to improve discoverability and set a sensible initial amount (>= $10 recommended).
Example use cases
- Create a new agent token on Base with a 10 USD launch amount, store returned token metadata, and display the token URL to users.
- Quote a price for a $10 buy on an existing token and submit the trade transactions returned by trade-token then send-transaction.
- Fetch trending tokens created by this builder using get-tokens-v2 ordered by recent volume to display on a dashboard.
- Apply the OPENCLAW referral code via enter-referral-code to enable the 4% cashback on subsequent trades for the agent.
- Check earned fees and claim rewards with get-user-fees and claim-rewards after a token accumulates trading activity.
FAQ
Call /me to verify the agent wallet has sufficient ETH for gas and USDC for the initial amount and trading.
How are create and trade transactions executed?
create-token-transaction and trade-token return ordered tx arrays. Submit each tx via send-transaction and wait the recommended delay between submissions.
What metadata should I save after creation?
Save token_layer_id, tokenId, addresses and symbol from the metadata response for all future API calls and links.