Predexon Prediction Market Data
BlockRunAI/ClawRouter
Reads structured prediction market data for Polymarket, Kalshi and other venues through a local BlockRun gateway: markets, search, leaderboards, wallet analytics and odds.
Pulls Kalshi prediction market data such as prices, orderbooks, trades, events and series with ten small standalone Python scripts.
Install Kalshi Markets Data
$ npx skills add disler/beyond-mcp --skill kalshi-markets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install disler/beyond-mcp kalshi-markets --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/disler/beyond-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/apps/4_skill/.claude/skills/kalshi-markets .claude/skills/kalshi-markets && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kalshi-markets" agent skill from https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-markets into .claude/skills/kalshi-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kalshi-markets", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-marketsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add disler/beyond-mcp --skill kalshi-markets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install disler/beyond-mcp kalshi-markets --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/disler/beyond-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/apps/4_skill/.claude/skills/kalshi-markets .agents/skills/kalshi-markets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kalshi-markets" agent skill from https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-markets into .agents/skills/kalshi-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kalshi-markets", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add disler/beyond-mcp --skill kalshi-markets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install disler/beyond-mcp kalshi-markets --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/disler/beyond-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/apps/4_skill/.claude/skills/kalshi-markets .cursor/skills/kalshi-markets && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kalshi-markets" agent skill from https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-markets into .cursor/skills/kalshi-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kalshi-markets", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/disler/beyond-mcp.git --path apps/4_skill/.claude/skills/kalshi-markets--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add disler/beyond-mcp --skill kalshi-markets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install disler/beyond-mcp kalshi-markets --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/disler/beyond-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/apps/4_skill/.claude/skills/kalshi-markets .gemini/skills/kalshi-markets && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kalshi-markets" agent skill from https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-markets into .gemini/skills/kalshi-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kalshi-markets", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install disler/beyond-mcp kalshi-marketsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add disler/beyond-mcp --skill kalshi-markets -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/disler/beyond-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/apps/4_skill/.claude/skills/kalshi-markets .github/skills/kalshi-markets && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kalshi-markets" agent skill from https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-markets into .github/skills/kalshi-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kalshi-markets", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add disler/beyond-mcp --skill kalshi-markets -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install disler/beyond-mcp kalshi-markets --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/disler/beyond-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/apps/4_skill/.claude/skills/kalshi-markets .opencode/skills/kalshi-markets && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kalshi-markets" agent skill from https://github.com/disler/beyond-mcp/tree/main/apps/4_skill/.claude/skills/kalshi-markets into .opencode/skills/kalshi-markets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kalshi-markets", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
kalshi-markets- GitHub stars
- 132
- Token cost
- ~583 tokens
- SKILL.md length
- 241 words
- Files
- 11 (incl. scripts)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- None found
At a glance
Pulls Kalshi prediction market data such as prices, orderbooks, trades, events and series with ten small standalone Python scripts.
- Browsing or searching Kalshi prediction markets by keyword
- SKILL.md covers Instructions, Progressive Disclosure, Available Scripts and Architecture, plus 1 more section
- Runs Python scripts from its folder; calls uv
- Checking the orderbook or recent trades for a market
What it does
Each script in `scripts/` is self-contained, has its own HTTP client and depends on no other script, so the agent loads only the one it needs. They cover exchange status, browsing and searching markets (search uses caching), details for one market, orderbook bid and ask levels, recent trades, event listings and details, and series templates, of which roughly 6900 exist. No authentication is needed for any of them.
Scripts run with `uv run` and all take `--help` and `--json`. The skill tells the agent to use `--json` when processing data, to prefer high-volume markets, series and events, and to read `--help` rather than the script source unless absolutely necessary, since each script runs about 200 to 300 lines. They work from any directory.
When your agent uses it
- Browsing or searching Kalshi prediction markets by keyword
- Checking the orderbook or recent trades for a market
- Listing events or series of related markets
- Checking whether the Kalshi exchange is operational
Example prompts
- “Search Kalshi for markets about interest rates and list the highest-volume ones.”
- “Show me the orderbook and recent trades for this market.”
- “List the Kalshi events that group related election markets.”
- “Check whether the Kalshi exchange is up right now.”
Requirements
- uv, to run the Python scripts
- Network access to Kalshi's public data
What it can do on your machine
Read from SKILL.md and the folder at commit db930dc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 10 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Kalshi Markets Data loads about 583 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 241 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 241 words (~583 tokens).
“Standalone, self-contained scripts for Kalshi prediction markets. Each script is independently executable with zero dependencies between scripts.”
- name
- kalshi-markets
Files
SKILL.md and 10 other files (scripts) in apps/4_skill/.claude/skills/kalshi-markets of disler/beyond-mcp.
- SKILL.md
- scripts/event.py
- scripts/events.py
- scripts/market.py
- scripts/markets.py
- scripts/orderbook.py
- scripts/search.py
- scripts/series.py
- scripts/series_list.py
- scripts/status.py
- scripts/trades.py
Open the folder on GitHubat commit db930dc
Compare with similar skills
Kalshi Markets Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kalshi Markets Data this skilldisler/beyond-mcp | 132 | — | ~583 | Automated safety check: Pass | None | |
| Predexon Prediction Market DataBlockRunAI/ClawRouter | 6.6k | — | ~4.7k | Automated safety check: Pass | MIT | |
| Futu OpenAPI Market and Trading Assistantqusong0627/QuantMind | 1.7k | — | ~3.3k | Automated safety check: Notes | AGPL-3.0 | |
| Eastmoney Market DataHKUDS/Vibe-Trading | 35k | — | ~1k | Automated safety check: Pass | MIT | |
| OKX Market DataHKUDS/Vibe-Trading | 35k | — | ~1.3k | Automated safety check: Pass | MIT | |
| SEC EDGAR Filings FetcherHKUDS/Vibe-Trading | 35k | — | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Kalshi Markets Data
What does Kalshi Markets Data do?
Pulls Kalshi prediction market data such as prices, orderbooks, trades, events and series with ten small standalone Python scripts. Each script in `scripts/` is self-contained, has its own HTTP client and depends on no other script, so the agent loads only the one it needs. They cover exchange status, browsing and searching markets (search uses caching), details for one market, orderbook bid and ask levels, recent trades, event listings and details, and series templates, of which roughly 6900 exist.
When should I use Kalshi Markets Data?
Kalshi Markets Data fits situations like: browsing or searching Kalshi prediction markets by keyword; checking the orderbook or recent trades for a market; listing events or series of related markets; checking whether the Kalshi exchange is operational.
How do I install Kalshi Markets Data in Claude Code?
Run `npx skills add disler/beyond-mcp --skill kalshi-markets -a claude-code`. Or copy the skill folder (apps/4_skill/.claude/skills/kalshi-markets in disler/beyond-mcp) into .claude/skills/kalshi-markets in your project. Claude Code loads it when a task matches its description.
How do I install Kalshi Markets Data in Codex?
Run `npx skills add disler/beyond-mcp --skill kalshi-markets -a codex`. Or copy the skill folder (apps/4_skill/.claude/skills/kalshi-markets in disler/beyond-mcp) into .agents/skills/kalshi-markets in your project. Codex loads it when a task matches its description.
Can I use Kalshi Markets Data in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add disler/beyond-mcp --skill kalshi-markets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kalshi-markets, .gemini/skills/kalshi-markets, .github/skills/kalshi-markets and .opencode/skills/kalshi-markets in your project.
What does Kalshi Markets Data need to run?
Going by SKILL.md and its folder, Kalshi Markets Data needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: uv, to run the Python scripts; Network access to Kalshi's public data.
Does Kalshi Markets Data access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Kalshi Markets Data safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Kalshi Markets Data use?
No licence was found for Kalshi Markets Data or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Kalshi Markets Data use?
About 583 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Kalshi Markets Data?
Skills that share tags, products or a category with Kalshi Markets Data: Predexon Prediction Market Data (BlockRunAI/ClawRouter, 6.6k stars), Futu OpenAPI Market and Trading Assistant (qusong0627/QuantMind, 1.7k stars), Eastmoney Market Data (HKUDS/Vibe-Trading, 35k stars) and OKX Market Data (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kalshi Markets Data?
disler (a GitHub user) maintains it in disler/beyond-mcp, which has 132 GitHub stars. The repository was last updated on November 9, 2025.
Source: disler/beyond-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.