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 hive-intel/hive-sdk --skill hive-prediction-marketsgit clone --depth 1 https://github.com/hive-intel/hive-sdkWrote 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/hive-intel/hive-sdk/hive-prediction-markets)<a href="https://agentmods.dev/skills/hive-intel/hive-sdk/hive-prediction-markets"><img src="https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-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/hive-intel/hive-sdk/hive-prediction-markets"><img src="https://agentmods.dev/badge/skills/hive-intel/hive-sdk/hive-prediction-markets.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 | $0.00091 | $0.01525 |
| Opus 5.5 | $0.00036 | $0.00610 |
| Sonnet 5.5 | $0.00018 | $0.00305 |
| Haiku 4.5 | $0.00009 | $0.00153 |
Grade A, and why
hive-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 yesterday.
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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
hive-prediction-markets: Prediction Markets
Discover and analyze Polymarket and Kalshi prediction markets with prices, order books, odds history and trades, plus Polymarket wallet positions, always framed as market-implied odds rather than truth. Polymarket's Gamma, CLOB, and Data APIs and Kalshi's public Trade API are keyless, so these tools work on the keyless lane.
Task toolset and identifiers
Toolset: prediction_markets. Read hive://toolsets/prediction_markets before
execution; it is authoritative for the current output schema, material-call
budget, phases, fallback condition, and stop conditions.
- Polymarket:
polymarket_search_markets(topic),polymarket_get_events(event slug),polymarket_get_market(market slug or condition id),polymarket_get_price_historyandpolymarket_get_orderbook(CLOB token id),polymarket_get_wallet_positionsandpolymarket_get_wallet_activity(EVM wallet address). - Kalshi:
kalshi_search_markets(query, status or event ticker),kalshi_get_events, and by market tickerkalshi_get_market,kalshi_get_orderbook,kalshi_get_trades,kalshi_get_price_history. - Required: a market slug, condition id, token id, wallet address, or a search query, depending on the request.
- Optional: status filter, limit, interval, depth, outcome.
If the user starts with a topic, search candidates first and ask for selection when multiple markets match; similar markets can have different resolution criteria.
Before choosing endpoints, select exactly one matching entry from the exact workflow's routes[]. Follow its ordered steps, use a fallback only under that step's published condition, stop at three material calls, and preserve the selected route_id in the typed result. The broad coverageCatalog is discovery coverage, not an execution plan.
Procedure
- Call
search_toolswith the venue and need, or readhive://toolsets/prediction_markets. - Call
get_api_endpoint_schemafor each endpoint before calling it. - Search markets or events for topic prompts; resolve the exact slug, ticker, condition id, or token id before pulling books, history, or trades.
- Add liquidity, spread, and freshness context before interpreting prices.
- Report the implied odds per outcome, volume or liquidity, venue, provider, and freshness, and never present probability as ground truth.
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.
- yesterday Changed · +1 lines · -9 tokens per session c525e57e7dfa
- 1mo ago Changed · +14 lines · +17 tokens per session 305a5c5bb3cb
- 1mo ago First seen · 132 lines · 83 tokens per session scan A 12baaec30fe8
hive-prediction-markets is a skill published in the GitHub repository hive-intel/hive-sdk (20 stars, last pushed 2d ago), licensed MIT. It adds 91 tokens to every session and 1,525 once invoked, about $0.0004 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.
Other skills, from other repositories
pump-swarm
Coordinated multi-wallet trading on Pump.fun.
trading-solana
Trade tokens on Solana DEXes - Jupiter, Raydium, Orca, Meteora, Pump.fun.
triggers
Conditional orders that auto-execute when price thresholds are met.
feeds
Real-time market data feeds from 8 prediction market platforms.
integrations
External data sources, connectors, and custom data streams.
opportunity
Find and execute cross-platform arbitrage opportunities across prediction markets.