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prediction-market-data-zh

prediction-market-data-zh is a skill for Claude Code, Codex from AIsa-team/agent-skills. It costs 108 tokens per session (3,493 once invoked), scanned A, a copy of prediction-market-arbitrage-zh, Apache-2.0.

A skill for querying prediction-market data from Polymarket and Kalshi through the AIsa API. Prediction markets are markets where prices represent the crowd's estimated chance of an event happening.

In plain words
What is it for?
Use it to look up event probabilities, prices, order books, charts, positions, trades, sports odds, and comparisons between Polymarket and Kalshi.
Why use it?
It gives you structured market information without manually checking several prediction-market sites. You must search for a market first, then use its returned ID to request details.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; mentions Claude Code; built for openclaw.

not rated 28repo changed 18d ago A scan 108 tokens copy · 86% Apache-2.0

Good fit Use it to look up event probabilities, prices, order books, charts, positions, trades, sports odds, and comparisons between Polymarket and Kalshi.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aisa-team/agent-skills/prediction-market-data-zh
View source ↗ AIsa-team/agent-skills
Install

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.

Any agent
npx skills add AIsa-team/agent-skills --skill prediction-market-data-zh
Clone the repo
git clone --depth 1 https://github.com/AIsa-team/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for prediction-market-data-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/aisa-team/agent-skills/prediction-market-data-zh/github.svg)](https://agentmods.dev/skills/aisa-team/agent-skills/prediction-market-data-zh)
Your own site
<a href="https://agentmods.dev/skills/aisa-team/agent-skills/prediction-market-data-zh"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/prediction-market-data-zh/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.

agentmods 80×15 button for prediction-market-data-zh

Your own site · 80×15
<a href="https://agentmods.dev/skills/aisa-team/agent-skills/prediction-market-data-zh"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/prediction-market-data-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,493 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00108 $0.03493
Opus 5.5 $0.00043 $0.01397
Sonnet 5.5 $0.00022 $0.00699
Haiku 4.5 $0.00011 $0.00349

Measured 18d ago against content hash 2c483a2f2751, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prediction-market-data-zh scanned grade A with 1 finding 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 18d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/prediction_market_client.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Direct HTTP (D) is a gated fallback, not the default. Gate (https://aisa.one/docs/get-started/cli.md#direct-http-fallback): "CLI and MCP are both unavailable, HTTP requests are supported, and a valid existing AIsa API ke
Origin

This is a copy

86% identical to prediction-market-arbitrage-zh — 103 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

financial/prediction-market-data-zh/SKILL.md · 187 lines

How it starts

The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.

预测市场数据

AIsa agent rules (shared)

These rules apply to every AIsa-backed skill and are copied from https://aisa.one/llms.txt, the single authoritative agent rule source. When this block and the rest of this skill disagree, follow this block.

Connect (MCP first)

Pick the first option that applies. Run the command yourself; the user only approves the browser sign-in.

  • A. Your client supports remote MCP and can open a browser (default). Add a remote MCP server named AIsa with URL https://mcp.aisa.one/mcp (Streamable HTTP), using your client's own command or config file. Auth: browser OAuth, no key needed. In a chat app (Claude, ChatGPT), the user adds it as a custom connector in settings. Adding the server does not always start sign-in. If no sign-in window opens, start it from the client's own MCP authentication entry (a menu, command, or connector button); if only the user can reach that entry, tell them where it is. Sign-in is the slow step, not the API. Before it starts, tell the user in one line that an AIsa sign-in window or card is about to open and to click Allow (one click if the browser is already signed in to AIsa). Do not call step 2 until the user says sign-in is done or the AIsa tools appear; calling it earlier only returns 401, so do not retry in a loop. If the client must restart to load the server, tell the user and wait. If you cannot add the connector yourself (sandbox, permission denied), give the user the server name and URL above and wait. Do not fall back to another method.
  • B. Your client supports remote MCP but has no browser (CI, SSH, container). Same endpoint, with the header Authorization: Bearer $AISA_API_KEY set in your client's MCP config instead of browser sign-in. If AISA_API_KEY is not set, ask the user to create a key at https://console.aisa.one/api-keys and set it in the environment; never ask them to paste it into chat. Never print, log, or commit the key.
  • C. The client has no MCP support. Use the CLI: npm install -g @aisa-one/cli && aisa login (Node.js 18+). Guide: https://aisa.one/docs/get-started/cli.md
  • D. Calling AIsa over HTTP from your own code. LLMs, OpenAI-compatible: https://api.aisa.one/v1 (Gemini GenerateContent: https://api.aisa.one/v1beta). Data APIs: https://api.aisa.one/apis/v1. Auth: Authorization: Bearer $AISA_API_KEY. Exact paths and schemas: https://aisa.one/docs/api-reference

Read the full file on GitHub · 187 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 18d ago Changed · +65 lines 2c483a2f2751
  2. 25d ago Changed · +1 lines 388e858feceb
  3. 2mo ago First seen · 121 lines · 108 tokens per session scan A b171fb6f31b8

Subscribe to this mod's changes

prediction-market-data-zh is a skill published in the GitHub repository AIsa-team/agent-skills (28 stars, last pushed yesterday), licensed Apache-2.0. It adds 108 tokens to every session and 3,493 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to prediction-market-arbitrage-zh, differing in 103 lines, and is treated as a copy.

Analytics and metricsFinance and fintech
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