Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nobodyohm-web/thot/solananpx skills add nobodyohm-web/Thot --skill solanagit clone --depth 1 https://github.com/nobodyohm-web/ThotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nobodyohm-web/thot/solana)<a href="https://agentmods.dev/skills/nobodyohm-web/thot/solana"><img src="https://agentmods.dev/badge/skills/nobodyohm-web/thot/solana.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.01790 |
| Opus 5 | $0.00009 | $0.00895 |
| Sonnet 5 | $0.00004 | $0.00358 |
| Haiku 4.5 | $0.00002 | $0.00179 |
Grade A, and why
solana scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
No API key needed. Uses only Python standard library (urllib, json, argparse). This is a copy
100% identical to solana — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Solana Blockchain Skill
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).
When to Use
- User asks for a Solana wallet balance, token holdings, or portfolio value
- User wants to inspect a specific transaction by signature
- User wants SPL token metadata, price, supply, or top holders
- User wants recent transaction history for an address
- User wants NFTs owned by a wallet
- User wants to find large SOL transfers (whale detection)
- User wants Solana network health, TPS, epoch, or SOL price
- User asks "what's the price of BONK/JUP/SOL?"
Prerequisites
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.
Quick Reference
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
python solana_client.py wallet <address> [--limit N] [--all] [--no-prices]
python solana_client.py tx <signature>
python solana_client.py token <mint_address>
python solana_client.py activity <address> [--limit N]
python solana_client.py nft <address>
python solana_client.py whales [--min-sol N]
python solana_client.py stats
python solana_client.py price <mint_or_symbol>
Procedure
0. Setup Check
python --version
# Optional: set a private RPC for better rate limits
export SOLANA_RPC_URL="https://api.mainnet-beta.solana.com"
# Confirm connectivity
python ~/.hermes/skills/blockchain/solana/scripts/solana_client.py stats
1. Wallet Portfolio
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.).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 209 lines · 18 tokens per session scan A d6b383f69328
solana is a skill published in the GitHub repository nobodyohm-web/Thot (0 stars, last pushed 11d ago), licensed MIT. It adds 18 tokens to every session and 1,790 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to solana, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
evm
Read-only EVM client: wallets, tokens, gas across 8 chains.
hyperliquid
Hyperliquid market data, account history, trade review.
solana
Query Solana wallets, tokens, txs, and NFTs in USD.
system-prompts
Write system prompts, tool docs, and agent definitions. Project tag conventions + RFC 2119 keywords + dense compression. Use when authoring or editing any prompt the model reads.
runtime-behavior-probe
Plan and, after explicit approval, execute runtime-behavior probes for local or live integrations. Use only when explicitly invoked to verify behavior that code review and normal tests cannot settle; define a controlled validation matrix and report observed evidence.
building-pydantic-ai-agents
Build AI agents with Pydantic AI — tools, capabilities (including on-demand loading), structured output, streaming, testing, and multi-agent patterns. Use when the user mentions Pydantic AI, imports pydanticai, or asks to build an AI agent, add tools/capabilities, defer capability loading, stream output, define agents…