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prod-astock-financial-analysis-v2
by
goCyberTrade
· GitHub ↗
· v1.0.1
· MIT-0
136
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Install in OpenClaw
/install prod-astock-financial-analysis-v2
Description
通过调用 Prana 平台上的远程 agent 完成以下处理：分析A股上市公司财务状况,从6个维度展示(盈利能力、偿债能力、营运能力、成长能力、现金流质量、估值水平),生成交互式HTML报告,默认分析近8个季度数据。 IMPORTANT: This skill has a mandatory step-by-st...
Usage Guidance
This skill appears to do what it claims: it sends your analysis request to prana.chat and requires a single API key (PRANA_SKILL_API_FLAG). Before installing or running it: (1) confirm you trust the external service at https://www.prana.chat, since your queries (company names and any pasted financial data) will be transmitted; (2) follow the SKILL.md step rules exactly — obtain explicit user consent before fetching a key and choose whether to set the key only for the session or persist it globally; (3) prefer a temporary/session env var if you are concerned about storing secrets broadly; and (4) do not paste full API keys into chat or public logs. If you want higher assurance, ask the skill author for an auditable provenance of the prana.chat endpoints or run the bundled client scripts in an isolated environment first.
Capability Analysis
Type: OpenClaw Skill
Name: prod-astock-financial-analysis-v2
Version: 1.0.1
The skill bundle is a legitimate client for the Prana financial analysis platform. It provides scripts (Node.js and Python) to interface with the Prana API (www.prana.chat) and detailed instructions in SKILL.md for the AI agent to manage API keys securely. The instructions emphasize mandatory user confirmation before fetching credentials or setting environment variables, and the code contains no evidence of data exfiltration, obfuscation, or unauthorized execution beyond its stated purpose.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description, declared network endpoints, skill.json, and the two client scripts all consistently target the Prana service (https://www.prana.chat) to run a remote agent for financial analysis. Requiring PRANA_SKILL_API_FLAG is proportional to this purpose; no unrelated env vars, binaries, or config paths are requested.
Instruction Scope
SKILL.md prescribes an explicit stepwise flow (check PRANA_SKILL_API_FLAG, obtain api_key via GET /api/v2/api-keys with explicit user consent, then set env var, then run bundled client scripts). That scope is consistent with using a remote service, but the flow will transmit user query/prompt data to prana.chat (expected for remote processing). The strict rules about not re-fetching keys and not pasting full keys into chat are unusual but align with protecting keys; they do not indicate hidden exfiltration. Users should be aware that analysis inputs (company names, any pasted financial data) will leave their machine and be processed remotely.
Install Mechanism
No install spec or external downloads are present; the skill is instruction-only with two small local client scripts that use standard HTTP calls. No archives, shorteners, or third‑party package installs are invoked by the skill itself.
Credentials
Only PRANA_SKILL_API_FLAG is required and is used as the x-api-key header for prana.chat calls. That single credential is proportionate to the stated remote-agent integration. The SKILL.md emphasizes obtaining explicit consent before creating or persisting the key.
Persistence & Privilege
always is false and the skill does not request elevated privileges or modify other skills. The documentation recommends (with user consent) writing PRANA_SKILL_API_FLAG as a global env/config value for convenience — this is a persistent secret that the operator must consciously choose to store; storing a long-lived key globally increases persistence and blast radius if the environment is shared.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prod-astock-financial-analysis-v2 - After installation, invoke the skill by name or use
/prod-astock-financial-analysis-v2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
No changes detected in this version.
- Version updated to 1.0.1
- No file changes were found compared to the previous version.
v1.0.0
A股财务分析 v1.0.0
- 新增支持A股上市公司财务状况分析，覆盖6大财务维度，默认分析近8个季度。
- 明确并强化分步执行规则，确保获取与使用 PRANA_SKILL_API_FLAG 的全流程合规，严禁跳步和重复取钥。
- 新增详细环境变量与鉴权操作指引，包括用户确认及变量设置方式选择（临时/全局）。
- 丰富脚本执行说明，明确 Node.js 及 Python 用法及安全须知。
- 補充输出、错误和历史查询操作规范，防止自动重试、密钥泄露和越权操作。
- 优化技能使用场景和交互流程，提升安全性和合规性。
Metadata
Frequently Asked Questions
What is prod-astock-financial-analysis-v2?
通过调用 Prana 平台上的远程 agent 完成以下处理：分析A股上市公司财务状况,从6个维度展示(盈利能力、偿债能力、营运能力、成长能力、现金流质量、估值水平),生成交互式HTML报告,默认分析近8个季度数据。 IMPORTANT: This skill has a mandatory step-by-st... It is an AI Agent Skill for Claude Code / OpenClaw, with 136 downloads so far.
How do I install prod-astock-financial-analysis-v2?
Run "/install prod-astock-financial-analysis-v2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is prod-astock-financial-analysis-v2 free?
Yes, prod-astock-financial-analysis-v2 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does prod-astock-financial-analysis-v2 support?
prod-astock-financial-analysis-v2 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created prod-astock-financial-analysis-v2?
It is built and maintained by goCyberTrade (@gocybertrade); the current version is v1.0.1.
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