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 Sofiia7/actually --skill actually-prediction-marketsgit clone --depth 1 https://github.com/Sofiia7/actuallyWrote 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/sofiia7/actually/actually-prediction-markets)<a href="https://agentmods.dev/skills/sofiia7/actually/actually-prediction-markets"><img src="https://agentmods.dev/badge/skills/sofiia7/actually/actually-prediction-markets/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/sofiia7/actually/actually-prediction-markets"><img src="https://agentmods.dev/badge/skills/sofiia7/actually/actually-prediction-markets.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00055 | $0.01045 |
| Opus 5 | $0.00028 | $0.00522 |
| Sonnet 5 | $0.00011 | $0.00209 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
actually-prediction-markets 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 today.
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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What markets actually think
Someone says a thing is likely. You do not have to guess whether it is, and you do not have to argue about it either. If the claim is one people bet real money on, a market is already pricing it, and that price is a number you can quote.
This skill uses the actually-mcp-server MCP server to find that number.
When to reach for this
- A claim about a future event shows up in a conversation, an article, or a headline, and the interesting question is "how likely is that, really".
- You are about to write "experts expect" or "odds are rising" and would rather write a percentage.
- Someone asks you to summarise news and the story hinges on an outcome that has not happened yet.
When not to
- The claim is about the past, or about something nobody trades on. There is no market for "did the author mean this ironically".
- The user wants your opinion. A market price is not an opinion, and swapping one for the other is a bad trade.
- Precision matters more than availability. Matching is semantic, so a thin story can land on a related-but-different market. Always show the matched question, not just the number.
Setup
The server is on npm and needs no key, no wallet, and no account for the read-only tools:
{
"mcpServers": {
"actually": {
"command": "npx",
"args": ["actually-mcp-server"]
}
}
}
The first call takes about twenty seconds while the package downloads and a local embedding model warms up. Later calls are fast. If a probe times out at five seconds it will look like a broken install; it is not.
Using it
check_news(text) takes arbitrary text - a headline, a paragraph, a sentence
someone said - and returns:
hasMarket- whether anything matched at allmarket- the matched market, including itsquestionandprobabilityYesconfidence- how sure the match isalternatives- the runners-up it considered
get_market(marketId) takes an id from that response and adds live price and an
orderbook snapshot.
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.
- today Changed 4a005b332c68
- 9d ago First seen · 114 lines · 55 tokens per session scan A 8604c9f6b79c
actually-prediction-markets is a skill published in the GitHub repository Sofiia7/actually (0 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 1,045 once invoked, about $0.0003 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 2026-08-31.
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