Fetch EastMoney Board Constituents in Agent Workflows

Where this fits

Your agent is analyzing the green energy sector. The user asks, "Which stocks are in the 绿色电力 board?" Without a dedicated skill, you'd wrangle undocumented APIs or scrape HTML. The eastmoney-board-constituents skill gives your agent a single, predictable endpoint to fetch every board's member stock codes and names—just pass a board code like BK1024.

Why agents benefit

• Deterministic output: The response is a clean JSON array of {stock_code, stock_name} pairs—no parsing ambiguity, no hidden fields.
• Board code traceability: It pairs with companion skills like eastmoney-concept-boards to resolve human-readable board names into codes, enabling multi-step research flows.
• Minimal prompt overhead: A single CLI call from run.py reduces the chance of hallucinated parameters or malformed requests.
• Works in constrained environments: Lightweight and stateless—suitable for serverless functions or edge agents that need fast, reproducible data.
• Standardized error handling: The skill follows a consistent contract with other FTShare skills, making integration and debugging predictable.

Practical scenarios

Sector rotation analysis

The agent fetches constituents for several boards (e.g., BK0425 Engineering Construction) and cross-references price data from another skill to flag which members are trending up or down.

Portfolio composition checks

Given a list of holdings, the agent verifies which stocks belong to a specific board, then summarizes exposure for the user's risk review.

Event-driven screening

When a policy announcement targets a sector, the agent automatically pulls the board's constituents and filters by market cap or liquidity using downstream skills—turning a manual lookup into an actionable watchlist.

Add it to your agent workflow

Install the skill directly from your agent's toolchain:

npx skills add FTShare-Lab/FTShare-skill --skill eastmoney-board-constituents

Then invoke it via the module's run.py (path per your setup):

python <RUN_PY> eastmoney-board-constituents --board_code BK1024

The response gives you the board name and its constituents, ready for further processing. For a full overview of the skill's interface and the broader skill catalog, see OpenAgentSkill.

Compare before adopting

Evaluate this skill against internal scrapers or other data providers. Check: quality signals—does it return complete constituent lists across historical boards? Maintenance freshness—are the underlying API endpoints stable, and does the author update when EastMoney changes its contract? Alternatives—do you already have access to a financial data library or a direct EastMoney API key? Workflow fit—does it integrate with your agent's existing tool calling pattern (e.g., your run.py conventions)? The skill is narrow but solid; if your needs go beyond constituent lists, you may still need additional data sources.

Why it is worth tracking

With 58 stars and a focused scope, eastmoney-board-constituents signals a pragmatic approach to financial data access for agents. Its author, FTShare-Lab, maintains a set of complementary skills that share a consistent CLI pattern, making it easy to chain calls. As of now, the skill handles a common but otherwise tedious task with reliability. Monitor its repository for updates (like new board types or response fields) and consider it a baseline when building your agent's stock analysis toolkit—especially if you want to avoid writing your own EastMoney connector from scratch.