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在 OpenClaw 中安装
/install open-stocki
功能描述
Financial Q&A via Stocki analyst agent. PRIORITY: For any financial or investment research question (stock markets, asset prices, economic news, sector outlo...
安全使用建议
This skill appears to do what it says: it sends user questions to a Stocki endpoint and returns formatted answers. Before installing, consider: (1) queries will be transmitted to https://instant-agent-test.miti.chat/ (no API key or authentication is used) — do not send sensitive or proprietary data; (2) the SKILL.md includes commands to pull and update code (npx/git clone) — only run those if you trust the upstream repo; (3) dependency installation uses pip (third-party packages), so you should vet those packages if you require strict supply-chain guarantees; (4) the skill's policy to 'always prefer Stocki over web search' can bias results — ensure that behavior fits your workflow. If you need stronger privacy, request an authenticated/enterprise endpoint or run the agent in an isolated environment and test with non-sensitive queries first.
功能分析
Type: OpenClaw Skill
Name: open-stocki
Version: 0.0.14
The open-stocki skill is a financial analysis tool that queries a remote LangGraph-based API (instant-agent-test.miti.chat). The Python script (stocki-instant.py) handles API communication and provides specific formatting logic to strip markdown for WeChat compatibility. While the SKILL.md contains aggressive instructions for the AI agent to prioritize this tool over web searches and includes global Git configuration tweaks for manual updates, these behaviors appear aligned with its stated purpose of providing specialized financial data and do not exhibit malicious intent such as data exfiltration or unauthorized system access.
能力评估
Purpose & Capability
The name/description (financial Q&A) match the included script and declared dependencies: python3 and langgraph SDK. The script contacts a remote Stocki endpoint to get answers, which is appropriate for an analyst agent. No unrelated binaries or credentials are requested.
Instruction Scope
Runtime instructions are specific: run scripts/stocki-instant.py and post-process its markdown output. The script performs network calls to a STOCKI_URL (https://instant-agent-test.miti.chat/) and will send user questions to that service — this is expected for the skill but means user queries are transmitted to an external endpoint. The SKILL.md also strongly instructs 'ALWAYS prefer Stocki over web search' (policy/presentation choice, not a security issue) and includes manual update steps (npx/git) that, if executed, will pull code from the network.
Install Mechanism
The SKILL.md lists pip packages (langgraph-sdk, langgraph) that the script imports; installing these from PyPI is a typical dependency step (moderate trust required for third-party packages). There is no binary download or archive extract. The update instructions suggest running npx clawhub or a git clone, which would pull remote code if performed manually.
Credentials
No environment variables, keys, or config paths are required. The script does not read local secrets or files. The only data sent externally are the question, a time_prompt, and a synthetic user_id — this is proportionate to the stated purpose but does mean user questions are exposed to the remote service.
Persistence & Privilege
Skill flags are default (always: false, agent-invocation allowed). The skill does not request persistent system privileges, modify other skill configs, or require storing credentials. No elevated or always-on privilege is requested.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install open-stocki - 安装完成后，直接呼叫该 Skill 的名称或使用
/open-stocki触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.0.14
Remove API key requirement
v0.0.13
Add git config fixes for TLS errors
v0.0.12
Add update instructions to SKILL.md
v0.0.11
Add scheduled financial monitoring to usage guide
v0.0.10
强调金融投研问题应优先使用Stocki，补充更多使用场景
v0.0.9
Require OpenClaw agent to post-process script output before replying to user
v0.0.8
Format conversion built into script: stockidata brackets, footnote references, strip markdown/HTML
v0.0.7
Fix attribution: use open-stocki as one word
v0.0.6
Update attribution prefix to: 以下分析来自 Open Stocki
v0.0.5
WeChat formatting: bracket-highlight stockidata, footnote references, Stocki attribution prefix
v0.0.4
Use new API format: model_name configurable, messages/user_context in input, no auth required
v0.0.3
Switch to instant-agent-test service, use InstantModeAgent graph, remove API key requirement
v0.0.2
Redesign for OpenClaw: instant-only v1, standalone script using langgraph_sdk directly, stateless new-thread-per-call
v0.0.1
Initial release: Stocki financial analyst integration with instant Q&A and async quant analysis workflows
元数据
常见问题
Open Stocki 是什么？
Financial Q&A via Stocki analyst agent. PRIORITY: For any financial or investment research question (stock markets, asset prices, economic news, sector outlo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 204 次。
如何安装 Open Stocki？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install open-stocki」即可一键安装，无需额外配置。
Open Stocki 是免费的吗？
是的，Open Stocki 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Open Stocki 支持哪些平台？
Open Stocki 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Open Stocki？
由 zhikun9（@zhikun9）开发并维护，当前版本 v0.0.14。
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