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 alpha-arcade-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/alpha-arcade-interaction)<a href="https://agentmods.dev/skills/goplausible/algorand-mcp/alpha-arcade-interaction"><img src="https://agentmods.dev/badge/skills/goplausible/algorand-mcp/alpha-arcade-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/alpha-arcade-interaction"><img src="https://agentmods.dev/badge/skills/goplausible/algorand-mcp/alpha-arcade-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 | $0.00071 | $0.02402 |
| Opus 5 | $0.00036 | $0.01201 |
| Sonnet 5 | $0.00014 | $0.00480 |
| Haiku 4.5 | $0.00007 | $0.00240 |
Grade A, and why
alpha-arcade-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 11d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alpha Arcade — Prediction Markets on Algorand
Interact with Alpha Arcade prediction markets via the Alpha Arcade MCP server (15 tools across read-only and trading categories).
Key Characteristics
- On-chain prediction markets — all orders and settlements happen on Algorand
- Binary and multi-choice markets — bet on YES/NO outcomes or choose from multiple options
- USDC-denominated — all collateral and payouts in USDC (ASA 31566704)
- Microunit inputs — all prices and quantities in tool inputs use microunits (1,000,000 = $1.00 or 1 share)
- Formatted outputs — read tools return human-readable strings like "$0.50" and "2.50 shares"
Setup
Alpha Arcade tools are built into the Algorand MCP server. Trading uses the local agent wallet (SQLite-backed) — no separate mnemonic needed.
| Variable | Required | Description |
|---|---|---|
ALPHA_API_KEY |
For reward markets | Alpha Arcade API key |
ALPHA_API_BASE_URL |
No | API base URL (default: https://platform.alphaarcade.com/api) |
Read-only tools work without a wallet. Trading tools require an active wallet account (see wallet_get_info).
Units & Price Format
All prices and quantities in tool inputs use microunits: 1,000,000 = $1.00 or 1 share.
| Human value | Microunit value |
|---|---|
| $0.50 | 500,000 |
| $0.05 slippage | 50,000 |
| 1 share | 1,000,000 |
| 30 shares | 30,000,000 |
Tool outputs from read tools (get_orderbook, get_open_orders, get_positions) return pre-formatted strings. Write tools accept raw microunit integers.
API probability fields are microunits, NOT percentages
Critical: The yesProb and noProb fields returned by market data (e.g., get_market, get_live_markets) are in microunits (0–1,000,000), NOT percentages (0–100).
yesProb value |
Meaning | Display price |
|---|---|---|
| 862,500 | 86.25% chance | $0.86 |
| 500,000 | 50% chance | $0.50 |
| 50,000 | 5% chance | $0.05 |
To convert for display: price = yesProb / 1,000,000 → e.g., 862500 / 1000000 = $0.86
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.
- 11d ago First seen · 181 lines · 71 tokens per session scan A 8a61b706196c
alpha-arcade-interaction is a skill published in the GitHub repository GoPlausible/algorand-mcp (44 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 2,402 once invoked, about $0.0004 per session on Opus 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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