Auction Results Skill: Real-Time Market Data for Your Agent

Where this fits

You're building a trading agent that needs to know the opening auction results for a specific stock before the market opens. Without a reliable endpoint, you'd have to scrape exchange websites or rely on delayed data. The auction-results skill provides a clean API wrapper for GET /api/v2/market/data/auction-results, letting your agent fetch structured auction data with a single command.

Why agents benefit

• Pre-market analysis: Agents can retrieve auction results for any symbol (e.g., 600519.SH) and use them to predict opening gaps or momentum.
• Batch scanning: With pagination support, agents can loop through multiple pages to screen a watchlist of stocks in one pass.
• Secure credential handling: The skill reads FTSHARE_API_KEY from environment variables and refuses to send requests without it—no hardcoded keys in your agent's code.
• Structured output: The response is JSON-ready, so agents can immediately parse price, volume, and bid/ask data for decision-making.
• Low integration friction: The CLI-style call (python <RUN_PY> auction-results ...) fits naturally into agent toolchains that already use subprocess or shell commands.

Practical scenarios

Pre-market gap detection

An agent checks auction results for a portfolio of stocks each morning. It flags any symbol where the auction price deviates more than 2% from the previous close, generating a gap alert for the trader.

Backtesting auction strategies

A research agent pulls historical auction results for a set of stocks, then compares them with actual opening prices to validate a strategy that trades on auction volume spikes.

Auction-based alerting

An agent monitors auction results for a specific stock every few minutes before the open. If the auction volume exceeds a threshold, it sends a notification to a Telegram channel, helping the user react to unusual interest.

Add it to your agent workflow

Install the skill with:

npx skills add FTShare-Lab/FTShare-skill --skill auction-results

Then invoke it with your symbol and page:

python <RUN_PY> auction-results --page 1 --symbol 600519.SH

Make sure FTSHARE_API_KEY is set in your environment before calling the skill.

Compare before adopting

Before integrating, evaluate the skill against your needs:

• Quality signals: Check the GitHub repo (63 stars, active issues) and read the API doc linked in the README to verify response format.
• Maintenance freshness: Look at recent commits and whether the author responds to issues. A stale skill may break with API changes.
• Alternatives: Compare with other market data APIs (e.g., Alpha Vantage, Yahoo Finance) or building your own scraper. The skill wins if you need auction-specific data without extra dependencies.
• Workflow fit: Ensure the skill's Python-based invocation aligns with your agent's runtime and that the API key handling matches your security model.

Why it is worth tracking

The auction-results skill fills a narrow but important niche—pre-market auction data—that general market APIs often omit. With 63 stars and an active maintainer, it shows community interest and ongoing development. If your agent trades A-shares or needs auction-level insights, this skill is worth evaluating now. For a detailed overview, see the skill page at https://www.openagentskill.com/skills/ftshare-lab-auction-results. Track it for updates, as the API and skill may evolve with new parameters or data fields.