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 skills add GoPlausible/algorand-mcp --skill algorand-interactiongit clone --depth 1 https://github.com/GoPlausible/algorand-mcpWrote 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/goplausible/algorand-mcp/algorand-interaction)<a href="https://agentmods.dev/skills/goplausible/algorand-mcp/algorand-interaction"><img src="https://agentmods.dev/badge/skills/goplausible/algorand-mcp/algorand-interaction/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/goplausible/algorand-mcp/algorand-interaction"><img src="https://agentmods.dev/badge/skills/goplausible/algorand-mcp/algorand-interaction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00127 | $0.04621 |
| Opus 5.5 | $0.00051 | $0.01848 |
| Sonnet 5.5 | $0.00025 | $0.00924 |
| Haiku 4.5 | $0.00013 | $0.00462 |
Grade A, and why
algorand-interaction scanned grade A with 0 findings 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Algorand MCP Interaction
Interact with Algorand blockchain through the Algorand MCP server (126 tools across 15 categories).
Key Characteristics
- Agent-wallet signing — use
wallet_*tools to sign; the MCP server holds the mnemonics in a local SQLite DB and signs on your behalf. Mnemonics are never returned in tool responses. - Multi-network — supports
mainnet,testnet, andlocalnet
Calling MCP Tools
MCP tools are deferred — you MUST use ToolSearch to load them before calling:
ToolSearch("+algorand wallet") # Search by keyword — loads matching tools
ToolSearch("select:mcp__algorand-mcp__wallet_get_info") # Load a specific tool by full name
Once loaded, call them normally:
mcp__algorand-mcp__wallet_get_info { "network": "testnet" }
mcp__algorand-mcp__make_payment_txn { "from": "ADDR", "to": "ADDR", "amount": 1000000, "network": "testnet" }
Full tool name pattern: mcp__algorand-mcp__<tool_name>. If you get "tool not found", use ToolSearch("+algorand <keyword>") to load it first.
Session Start Checklist
At EVERY session start:
- Load tools first: Call
ToolSearch("+algorand wallet")to load wallet tools — MCP tools are deferred and MUST be loaded via ToolSearch before use - Check wallet:
mcp__algorand-mcp__wallet_get_infowith targetnetwork— verify an account exists and is active - If no accounts: Guide user to create one with
wallet_add_account(load via ToolSearch first) - If needs funding: Generate ARC-26 QR with
generate_algorand_qrcode— returns{ qr, uri, link, expires_in }. Display theqrtext block and shareablelink. Or direct to testnet faucet: https://lora.algokit.io/testnet/fund - If needs USDC funding: Generate ARC-26 QR with
generate_algorand_qrcode— returns{ qr, uri, link, expires_in }. Display theqrtext block and shareablelink. Or direct to testnet faucet: https://faucet.circle.com/ - Confirm network: Always confirm which network (
mainnet,testnet,localnet) before transactions - Load additional tools as needed: Use
ToolSearch("+algorand <keyword>")to load tools for the task at hand
What ships with it
2 files 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.
- 1mo ago First seen · 297 lines · 127 tokens per session scan A c6ae15daeb44
algorand-interaction is a skill published in the GitHub repository GoPlausible/algorand-mcp (44 stars, last pushed 2mo ago), licensed MIT. It adds 127 tokens to every session and 4,621 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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