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 Rekko-AI/rekko-mcp --skill rekkogit clone --depth 1 https://github.com/Rekko-AI/rekko-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/rekko-ai/rekko-mcp/rekko)<a href="https://agentmods.dev/skills/rekko-ai/rekko-mcp/rekko"><img src="https://agentmods.dev/badge/skills/rekko-ai/rekko-mcp/rekko/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/rekko-ai/rekko-mcp/rekko"><img src="https://agentmods.dev/badge/skills/rekko-ai/rekko-mcp/rekko.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 | $0.00058 | $0.03070 |
| Opus 5 | $0.00029 | $0.01535 |
| Sonnet 5 | $0.00012 | $0.00614 |
| Haiku 4.5 | $0.00006 | $0.00307 |
Grade A, and why
rekko 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 10d 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rekko — Prediction Market Intelligence
Rekko AI provides deep causal research for prediction markets on Kalshi, Polymarket, and Robinhood. It is the intelligence layer ("the brain") that sits alongside execution skills:
- PolyClaw — executes trades on Polymarket
- Kalshi Trader — executes trades on Kalshi
- Rekko (this skill) — provides the WHY behind market movements
You consume finished insights; Rekko handles all research internally.
Getting Started
Tools appear as mcp__rekko__* when the plugin is installed. Requires REKKO_API_KEY — get one at rekko.ai or RapidAPI.
Tools
Market Intelligence
| Tool | Description | Key Parameters |
|---|---|---|
list_markets |
Browse current prediction markets | source ("kalshi", "polymarket", "robinhood", ""), limit (1-100) |
get_market |
Get details for a single market | market_id, source (platform hint) |
search_markets |
Search markets by keyword | query, limit |
get_market_history |
Price history with configurable period | platform, market_id, period ("48h", "7d", "30d"), max_points |
get_resolution |
Resolution intelligence for a market | platform, market_id — returns time urgency, mechanism, theta estimate |
get_execution_guidance |
Execution guidance (spread, slippage, timing) | platform, market_id — returns order recommendation |
Screening & Discovery
| Tool | Description | Key Parameters |
|---|---|---|
screen_markets |
Batch screen markets by score, volume, or IDs | market_ids[], platform, min_volume_24h, min_score, limit |
get_calibration |
Signal accuracy and calibration metrics | category, period ("7d", "30d", "all"), mode ("shadow", "live") |
Deep Research (async pattern)
Analysis takes 30-90 seconds. Use the three-step async pattern:
analyze_market— starts the pipeline, returns ananalysis_idimmediatelybet_text: describe the market questionplatform: optional platform hint
check_analysis_status— poll with theanalysis_idevery 5 seconds untilstatusis"complete"get_analysis— retrieve the full structured result once complete
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.
- 10d ago First seen · 292 lines · 58 tokens per session scan A 308b1c1c8146
rekko is a skill published in the GitHub repository Rekko-AI/rekko-mcp (1 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 3,070 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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