Claude for Financial Services
anthropics/financial-servicesAnthropic's reference agents, skills and data connectors for banking, research, fund admin and KYC, usable as Claude plugins or Managed Agents.
Chinese-language finance skills for A-share and global equity analysis, plus Wind data and agent entry points that need a Wind API key.
Broad set of analysis prompts with a few tested scripts, but mostly Chinese-language role-play prompts, and the data skills depend on a Wind API key and were not in the copy we reviewed.
AliceMarket mirrors a monorepo of finance skills published around Wind, the Chinese financial data provider. The README (in Chinese) lists 34 skills in four groups: a discovery meta-skill that recommends other skills, a Wind MCP data skill for stocks, funds, indexes, bonds, announcements, news and macro indicators, an agent entry skill for Wind's Alice analysis agent using a streaming agent protocol, and a set of analysis skills. The analysis skills are prompts that define a role, a stepwise method and an output structure. Examples are A-share main-theme identification by market structure and fund behavior, breakout candidate screening, bull and bear case building, DCF modelling with WACC and sensitivity, earnings analysis, position sizing, moat review, guidance-change impact, and four skills that imitate investor styles such as Buffett and Taleb.
In the copy we reviewed, the data and agent entry skills were not present, only the analysis skills, which average roughly 4 to 5 KB each. Three skills carry Python scripts: a backtest evaluator with tests, a DCF validator and a market-utilities helper. The data and agent skills need a WIND_API_KEY from Wind's AI market site, stored in a config file under your home directory. Prompts are long role-play instructions, written for Chinese-speaking traders and researchers, and several give trade-style guidance.
About 40 skill folders averaging 4-5 KB of prompt with a few reference files and only three script folders, one with tests.
Counted from the repository file tree. How we score depth.
A Chinese-language collection of finance analysis skills that depend on Wind's paid data service: they tell the agent to prompt you to install wind-mcp-skill with an unpinned global npx command and to keep a WIND_API_KEY in a plain-text file in your home directory. The few Python scripts we can see are local calculators; the skills that actually call Wind's API are not in the reviewed copy.
The repository (402 files) on Oct 29, 2026. Not a full review: 329 of 402 files were not downloaded (large repository; we reviewed the skill folders); we read 2 of 5 code files; it relies on code outside the repository: wind-mcp-skill, wind-alice, wind-find-finance-skill and most other skills named in the README (about 329 readable files, including their SKILL.md files and cli.mjs, are not in the local copy); Wind's MCP / A2A service and the npx skills CLI; Python packages openpyxl, yfinance, requests (unpinned) and a FINVIZ data source.
NVIDIA SkillSpector static scan: 79 pattern hits (MCP Rug Pull 65, Supply Chain 5, Prompt Injection 3, Agent Snooping 2, Excessive Agency 2, Rogue Agent 1). The 79 hits are mostly repeated 'npx skills' install lines, whitespace padding in README tables, unpinned requirements (openpyxl, yfinance, requests have old advisories but no version is pinned) and the README instructions to write WIND_API_KEY to a config file.
A review, not a certification. Skills change after we check them — read the files before installing.
No license file or license metadata found — all rights reserved by default. The prompts mimic named investors, which may raise their own rights questions.
Not really. The skills produce reports and trade-style commentary on request and have no loops or verification gates; the market-hours recaps depend on a person acting on them.
Anthropic's reference agents, skills and data connectors for banking, research, fund admin and KYC, usable as Claude plugins or Managed Agents.
A short skill that makes Claude compare SEC 10-K, 10-Q and 8-K filings for material changes and silent risks, with quoted evidence and fixed output sections.
It is a collection of Chinese-language finance skills tied to Wind's financial data platform. The analysis skills cover A-share themes, DCF, earnings, position sizing and investor-style thinking, and the Wind data skills connect through MCP with an API key.
According to the README you get an API key from Wind's AI market site and save it as WIND_API_KEY in an environment variable or in ~/.wind-aifinmarket/config. Without a key the discovery skill and the pure-prompt analysis skills still work.
No. They are prompts that make the model write analysis and trade-style commentary, and they do not execute trades. Treat output as a draft to check, since the model can be wrong about data and figures.
AliceMarket is oriented to Chinese markets and Wind data in Chinese. Anthropic's financial-services repository is a set of plugins for general finance workflows. Choose by market and data source.