jiayaoqijia

"Peer-driven onchain reputation layer for AI agents enabling kudos across reliability, speed, accuracy, creativity, and security categories."

"Interaction layer where humans, AI agents, and blockchain converge, powering a trustless reputation economy for ERC-8004 ecosystem."

"Interaction layer powering trustless reputation economy for ERC-8004 ecosystem with rewards for honest contributions."

"Autonomous creative agent generating digital artworks in real-time for social media and Base ecosystem."

"Crypto Q&A and research agent for traders covering token analysis, market trends, and trading strategies."

"Virtual-native trust and execution agent serving as a shared oracle for AI agents to verify model outputs."

"BaseOracle MCP Server — Base L2 intelligence for AI agents"

"Verified AI agent on Billions network with on-chain reputation and verification."

Get centralized exchange market data, order books, trading pairs, ticker prices, and 24h volume across Binance, Coinbase, Kraken, Bybit, Gate.io, and Bitget. Use when asked about CEX prices, exchange order book, trading pairs, CEX volume, Binance price, Kraken ticker, exchange comparison, or funding rates on centralized exchanges.

Get cryptocurrency prices, market cap, trading volume, trending tokens, market sentiment, Fear & Greed Index, total value locked (TVL), and DeFi protocol rankings. Use when asked about token price, crypto market overview, what's trending, market sentiment, TVL by chain or protocol, top gainers/losers, or price history.

Research cryptocurrency tokens, verify smart contracts, check perpetual futures data, governance proposals, and on-chain analytics. Use when asked about token research, contract verification, is this token safe, rug pull check, Hyperliquid perps, funding rates, governance vote, Dune analytics, token due diligence, or security audit status.

Check cryptocurrency wallet balances, token holdings, transaction history, token approvals, ENS name resolution, and on-chain activity. Use when asked about wallet balance, what tokens an address holds, transaction history, pending transactions, token allowances, ENS lookup, or address portfolio.

Track smart money trading signals on-chain. Monitor professional investor buy/sell activity, whale movements, alpha scanning, and signal performance. Use when asked about smart money, whale tracking, alpha signals, trading signals, or professional investor activity.

Check DeFi lending and borrowing rates, supply/borrow APY, positions, health factors, and protocol comparisons. Use when asked about lending rates, borrowing costs, Aave rates, Compound APY, Morpho markets, lending protocol comparison, health factor, or liquidation risk.

Check liquid staking APR, exchange rates, withdrawal queues, and staking rewards for ETH and other tokens. Use when asked about staking ETH, Lido stETH, Rocket Pool rETH, staking APR, liquid staking rates, staking rewards, unstaking queue, or staking comparison.

Get DEX swap quotes, price routes, and trade execution data across multiple chains. Use when asked about swapping tokens, best swap price, DEX aggregator quotes, token swap routes, trading on Uniswap/Jupiter/ParaSwap/1inch, slippage, or comparing swap rates across DEXes.

Debug a Kurtosis devnet that is not producing blocks. Iterates through logs → code correlation → fix → rebuild → retest until the chain advances.

Launch a team of 4 parallel agents to add depth across multiple packages. Each agent creates 2 source files + 2 test files in non-overlapping packages. All files build and pass tests before committing.

Reviews code changes for bugs, security issues, and quality problems

Checks if code changes require documentation updates

Generate a minimal security patch for a specific vulnerability finding. Produces a .patch file with the smallest code change needed to remediate the issue without altering unrelated logic.

Run a comprehensive security scan on a codebase using available security scanners (Semgrep, Bandit, Trivy, osv-scanner). Returns structured findings with severity, file location, and OWASP mapping.

Generate a comprehensive security report with executive summary, detailed findings, remediation roadmap, and compliance mapping. Supports markdown and HTML output.

Analyze code quality metrics for a Go package

Elite background evaluator agent combining 30-year Google/AWS test/devops expertise with 30-year Apple design mastery. Strictest production standards. Pixel-perfect design scrutiny. Spawned in a worktree for independent grading.

Merge a GitHub PR via squash after /prepare-pr. Use when asked to merge a ready PR. Do not push to main or modify code. Ensure the PR ends in MERGED state and clean up worktrees after success.

Prepare a GitHub PR for merge by rebasing onto main, fixing review findings, running gates, committing fixes, and pushing to the PR head branch. Use after /review-pr. Never merge or push to main.

Review-only GitHub pull request analysis with the gh CLI. Use when asked to review a PR, provide structured feedback, or assess readiness to land. Do not merge, push, or make code changes you intend to keep.

Security scanning and remediation for AI coding agents. Scan code for vulnerabilities, generate fix patches, detect sensitive data leaks, and produce compliance reports — all from your OpenClaw agent.

Merge a GitHub PR via squash after /preparepr. Use when asked to merge a ready PR. Do not push to main or modify code. Ensure the PR ends in MERGED state and clean up worktrees after success.

Prepare a GitHub PR for merge by rebasing onto main, fixing review findings, running gates, committing fixes, and pushing to the PR head branch. Use after /reviewpr. Never merge or push to main.

Review-only GitHub pull request analysis with the gh CLI. Use when asked to review a PR, provide structured feedback, or assess readiness to land. Do not merge, push, or make code changes you intend to keep.

Reviews code changes for bugs, security issues, and quality problems

GitHub operations via gh CLI: issues, PRs, CI runs, code review, API queries.

Run a security scan on the codebase using available scanners. Returns structured findings with severity and OWASP mapping.

Launch a team of parallel agents to implement features across the streaming-LLM project. Each agent works on non-overlapping areas (server, client UI, shared types, tests).