Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Query Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.
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安装前可以查看交给 AI 代理的指令内容。
Query Solana on-chain data enriched with USD pricing via CoinGecko. 8 commands: wallet portfolio, token info, transactions, activity, NFTs, whale detection, network stats, and price lookup.
No API key needed. Uses only Python standard library (urllib, json, argparse).
The helper script uses only Python standard library (urllib, json, argparse). No external packages required.
Pricing data comes from CoinGecko's free API (no key needed, rate-limited
to ~10-30 requests/minute). For faster lookups, use --no-prices flag.
RPC endpoint (default): https://api.mainnet-beta.solana.com Override: export SOLANA_RPC_URL=https://your-private-rpc.com
Helper script path: ~/.hermes/skills/blockchain/solana/scripts/solana_client.py
python3 solana_client.py wallet <address> [--limit N] [--all] [--no-prices]
python3 solana_client.py tx <signature>
python3 solana_client.py token <mint_address>
python3 solana_client.py activity <address> [--limit N]
python3 solana_client.py nft <address>
python3 solana_client.py whales [--min-sol N]
python3 solana_client.py stats
python3 solana_client.py price <mint_or_symbol>
python3 --version
# Optional: set a private RPC for better rate limits
export SOLANA_RPC_URL="https://api.mainnet-beta.solana.com"
# Confirm connectivity
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py stats
Get SOL balance, SPL token holdings with USD values, NFT count, and portfolio total. Tokens sorted by value, dust filtered, known tokens labeled by name (BONK, JUP, USDC, etc.).
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py \
wallet 9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM
Flags:
--limit N — show top N tokens (default: 20)--all — show all tokens, no dust filter, no limit--no-prices — skip CoinGecko price lookups (faster, RPC-only)Output includes: SOL balance + USD value, token list with prices sorted by value, dust count, NFT summary, total portfolio value in USD.
Inspect a full transaction by its base58 signature. Shows balance changes in both SOL and USD.
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py \
tx 5j7s8K...your_signature_here
Output: slot, timestamp, fee, status, balance changes (SOL + USD), program invocations.
Get SPL token metadata, current price, market cap, supply, decimals, mint/freeze authorities, and top 5 holders.
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py \
token DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263
Output: name, symbol, decimals, supply, price, market cap, top 5 holders with percentages.
List recent transactions for an address (default: last 10, max: 25).
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py \
activity 9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM --limit 25
List NFTs owned by a wallet (heuristic: SPL tokens with amount=1, decimals=0).
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py \
nft 9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM
Note: Compressed NFTs (cNFTs) are not detected by this heuristic.
Scan the most recent block for large SOL transfers with USD values.
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py \
whales --min-sol 500
Note: scans the latest block only — point-in-time snapshot, not historical.
Live Solana network health: current slot, epoch, TPS, supply, validator version, SOL price, and market cap.
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py stats
Quick price check for any token by mint address or known symbol.
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py price BONK
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py price JUP
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py price SOL
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py price DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263
Known symbols: SOL, USDC, USDT, BONK, JUP, WETH, JTO, mSOL, stSOL, PYTH, HNT, RNDR, WEN, W, TNSR, DRIFT, bSOL, JLP, WIF, MEW, BOME, PENGU.
--no-prices for speed.token command for full info.# Should print current Solana slot, TPS, and SOL price
python3 ~/.hermes/skills/blockchain/solana/scripts/solana_client.py stats
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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