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Install in OpenClaw
/install tradingagents-analysis
Description
A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、 市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演， 输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。 Multi-agent AI stock analysis for Chin...
Usage Guidance
This skill appears coherent: it simply submits symbol/date/horizon parameters to a remote TradingAgents API using the provided token. Before installing: (1) Only provide a minimal-privilege API token (the skill suggests tokens of the form ta-sk-*); rotate or revoke it if exposed. (2) If you need stronger data control, self-host the backend and set TRADINGAGENTS_API_URL to your server as documented. (3) Confirm you trust the endpoint https://api.510168.xyz (or your chosen API URL) because analysis results and the symbols you query will go there. (4) Note the script accepts optional POLL_INTERVAL/POLL_TIMEOUT environment vars (not listed as required in metadata) — these are harmless operational settings. (5) Do not paste personal account details or real position data into requests, as the skill warns, because anything you submit as the symbol/parameters will be transmitted to the API.
Capability Analysis
Type: OpenClaw Skill
Name: tradingagents-analysis
Version: 0.6.2
The skill bundle provides a legitimate interface for A-share stock analysis via the TradingAgents API (api.510168.xyz). The core logic in `scripts/analyze.sh` is well-structured, using Python for safe JSON payload construction to prevent shell injection and standard curl commands for API interaction. The `SKILL.md` instructions correctly guide the AI agent to extract only relevant stock symbols and parameters without requesting access to sensitive local data or unrelated environment variables.
Capability Assessment
Purpose & Capability
Name/description describe a remote multi-agent stock analysis service. Declared requirements (TRADINGAGENTS_TOKEN, TRADINGAGENTS_API_URL, curl, python3, bash) align with using a web API and the provided shell script to submit jobs and poll results.
Instruction Scope
SKILL.md and scripts/analyze.sh show the agent/script only submits symbol/trade_date/horizons to the API and uses Authorization: Bearer $TRADINGAGENTS_TOKEN. The skill states it does not forward raw conversation text — that is consistent with the script (the script accepts explicit symbol args). One small note: the SKILL.md mentions optional env vars POLL_INTERVAL and POLL_TIMEOUT (and the script uses them) but those are not included in metadata.requires.env; they are non-sensitive operational settings and not a major issue, but SKILL.md references environment variables beyond the declared required env list.
Install Mechanism
This is instruction-only with a small, readable bash script. No install spec, no downloads or extracted archives, and required system binaries (curl/python3/bash) are reasonable and expected.
Credentials
Only TRADINGAGENTS_TOKEN (primary) and optionally TRADINGAGENTS_API_URL are required. These are proportional and necessary for accessing the remote API. No unrelated secrets or broad cloud credentials are requested. (Operational envs POLL_INTERVAL/POLL_TIMEOUT are referenced in instructions but are benign and optional.)
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and has no install actions that grant persistent system privileges. Autonomous invocation is allowed (platform default) and appropriate for this API-invoking skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tradingagents-analysis - After installation, invoke the skill by name or use
/tradingagents-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.6.2
Version 0.6.1
- Added explicit OpenClaw metadata: now declares required environment variables and dependencies (curl, python3, bash) under `metadata.openclaw`.
- Specifies `TRADINGAGENTS_TOKEN` as the primary environment variable in the metadata for improved integration and credential management.
- No changes to core functionality or code; documentation/metadata update only.
v0.6.1
- Added explicit environment and binary requirements under metadata for OpenClaw compatibility.
- Declared TRADINGAGENTS_TOKEN as the primary credential via metadata.openclaw.
- No application logic or behavior changes; documentation updated for clarity on credential metadata and requirements.
- Version number remains at 0.6.0 in SKILL.md (no functional version bump).
v0.6.0
**tradingagents-analysis 0.5.1 → 0.6.0 — Major Update**
- Expanded description with clearer Chinese/English summary and explicit A股 (A-share) focus.
- Tags list greatly extended for improved discoverability (包括A股、主力资金、K线、风险评估等).
- Clarified market scope: now officially supports only China A-shares, dropping US stocks/crypto mentions.
- Environment variable specifications improved; `TRADINGAGENTS_TOKEN` now clearly marked as primary and required.
- Usage instructions reorganized for easier onboarding, with separate sections for cloud and self-host deployment.
- Updated documentation and examples to reflect A股-only coverage and the latest workflow best practices.
v0.5.0
- Added a unified Bash script (`scripts/analyze.sh`) for streamlined task submission, polling, and result retrieval (supports both single and batch stock analysis).
- Updated documentation to recommend using the new analyze.sh script for all typical workflows, replacing manual curl polling instructions.
- Described script usage, batch processing, timeout, and environment variables for customization.
- Clarified that the script should be used instead of manual polling for job status/results.
v0.4.4
trading-agents-analysis 0.4.4
- update display name
- No file changes detected in this version.
- Functionality and documentation remain unchanged from the previous release.
v0.4.3
- Expanded tags to include 研报, 资金流向, 技术分析, 基本面分析 for better discoverability.
- Added quick start guide with sample input phrases for easier onboarding.
- Clarified the data privacy policy, explicitly stating only extracted symbols/dates/parameters are transmitted—not raw conversation text.
- Strengthened documentation on credential management and security best practices.
- Introduced application scenarios (“适用/不适用场景”) for clearer user guidance.
- Provided reminders on not pasting sensitive content and reaffirmed the authoritative env var configuration.
v0.4.2
**Expanded multi-agent architecture and feature set**
- Upgraded from 12 to 15 AI analyst agents, adding a five-stage collaborative research process.
- Full bilingual documentation: enhanced Chinese and English instructions, usage, and examples.
- Added explicit support for both A-share (A股) and US stock tickers.
- Detailed system architecture description with breakdown of agent roles in each phase.
- New output examples and risk metrics, plus documented "short-term" (短线) analysis mode.
- Improved privacy, security, and self-hosting instructions.
v0.4.1
Version 0.4.1
- Major rewrite of documentation for clarity and completeness.
- Clearly describes privacy, security, and self-hosting options.
- Updates usage instructions to highlight the POST /v1/analyze endpoint.
- Details multi-agent workflow, polling intervals, result structure, and expected analysis time.
- Lists supported input formats and provides concrete API examples.
v0.4.0
Initial release of tradingagents-analysis.
- Analyze stocks, research market trends, and answer investment-related questions using natural language.
- Automatically detects user intent and starts multi-agent stock analysis jobs.
- Notifies users when an investigation begins; deep analysis may take 1 to 5 minutes.
- Polls for job completion and summarizes expert insights upon analysis completion.
- Supports Chinese company names and six-digit codes, with suffixes recommended for accuracy.
Metadata
Frequently Asked Questions
What is A股多智能体投研-15 AI 分析师?
A股多智能体 AI 投研分析工具 — 15 名 AI 分析师协作完成技术分析、基本面分析、 市场情绪研判、资金流向追踪（北向资金/主力资金）、宏观经济分析及博弈论推演， 输出结构化买卖建议与风险评估。支持沪深 A 股股票代码和中文名称。 Multi-agent AI stock analysis for Chin... It is an AI Agent Skill for Claude Code / OpenClaw, with 808 downloads so far.
How do I install A股多智能体投研-15 AI 分析师?
Run "/install tradingagents-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is A股多智能体投研-15 AI 分析师 free?
Yes, A股多智能体投研-15 AI 分析师 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does A股多智能体投研-15 AI 分析师 support?
A股多智能体投研-15 AI 分析师 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created A股多智能体投研-15 AI 分析师?
It is built and maintained by Kylin (@kylinmountain); the current version is v0.6.2.
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