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Prana A股财务分析助手
by
goCyberTrade
· GitHub ↗
· v1.0.4
· MIT-0
136
Downloads
0
Stars
0
Active Installs
5
Versions
Install in OpenClaw
/install prana-stock-scoring-analysis
Description
通过调用Prana平台上的远程 agent 执行 A股财务分析助手，并将结果返回给调用方
Usage Guidance
This skill is internally consistent with its description: it sends user questions to a remote Claw/Prana agent and keeps a per-session thread_id in workspace/<session_id>/prana-stock-scoring-analysis.txt. Before installing, verify you trust the endpoint https://claw-uat.ebonex.io (it appears to be a UAT/test host and no homepage/source is provided). Do not blindly persist secrets: if you must set PRANA_SKILL_API_FLAG, prefer an explicitly scoped, revocable token and confirm how to revoke it. Because the skill asks you to store the key as a global env variable, any other skill or autonomous agent run could reuse it — use an isolated environment or ephemeral token for testing. Also confirm your workspace path handling is safe (the scripts do not write the thread_id file for you) and ensure operators follow the SKILL.md instructions precisely to avoid leaking the token or mis-associating session files. If you need higher assurance, ask the publisher for production domain documentation, token semantics (shared vs per-user), and a homepage or source repository before deploying in production.
Capability Analysis
Type: OpenClaw Skill
Name: prana-stock-scoring-analysis
Version: 1.0.4
The skill bundle is a legitimate wrapper for performing A-share financial analysis via a remote service at claw-uat.ebonex.io. The provided Node.js and Python scripts (prana_skill_client.js/py) are transparent, well-structured, and limited to making authorized HTTP requests to the specified domain using an API key stored in environment variables. The SKILL.md instructions correctly guide the AI agent through session management and authentication without any evidence of malicious prompt injection, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
Name/description, required env var PRANA_SKILL_API_FLAG, and all declared network endpoints (https://claw-uat.ebonex.io) align: the skill simply proxies questions to a remote Prana/Claw agent and reads/writes a thread_id file for session continuity.
Instruction Scope
SKILL.md restricts activity to (a) calling the listed claw-uat.ebonex.io endpoints, (b) reading/writing workspace/<session_id>/prana-stock-scoring-analysis.txt for thread_id, and (c) requesting a PRANA_SKILL_API_FLAG token. It does not ask to read unrelated files or other env vars. Notes of concern: the skill requires the host/operator to create a global persistent env variable and to perform the workspace file read/write manually (the included client scripts do not write the thread file). The manual file operations are unusual and increase chance of operator error.
Install Mechanism
There is no install spec — included are only two simple client scripts (JS/Python). No downloads from third-party URLs or archives. This is a low-risk, instruction-only install footprint.
Credentials
Only one credential (PRANA_SKILL_API_FLAG) is required, which matches the declared auth header usage. However SKILL.md instructs persisting this token as a global OpenClaw env var, meaning the credential will be reusable by other skills or agent runs. If the token is shared or long-lived, that increases blast radius — prefer short-lived or per-session tokens where possible.
Persistence & Privilege
The skill does not request always:true and does not modify other skills. The main persistence request is instructing the operator to set a global env var and to persist a per-session thread_id file. Combined with normal autonomous invocation capability, a stored API key could be used by future autonomous runs — consider this when granting the env var.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install prana-stock-scoring-analysis - After installation, invoke the skill by name or use
/prana-stock-scoring-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
**This release clarifies and standardizes execution and state management details for session handling.**
- Tightened requirements: Executors must explicitly create/read the session directory and manage `prana-stock-scoring-analysis.txt` before and after script execution—scripts won't handle this automatically.
- Expanded instructions: Clarified session ID (`<session_id>`) usage and directory creation responsibility falls on the OpenClaw/host, not the script.
- Defined behavior: Only overwrite `prana-stock-scoring-analysis.txt` when a new valid `thread_id` is returned; do not remove file if `thread_id` is missing.
- Emphasized compliance: Not following these session and file handling steps now counts as incomplete execution for the skill.
v1.0.3
- chore: Updated skill metadata in skill.json with no changes to functionality or documentation.
- No user-facing changes; documentation and usage remain identical to previous version.
v1.0.2
- Improved thread_id handling: now reads thread_id for each session from workspace/<session_id>/prana-stock-scoring-analysis.txt and passes it to scripts; if missing, thread_id is left empty.
- After execution, saves returned thread_id to workspace/<session_id>/prana-stock-scoring-analysis.txt for future session reuse.
- Simplified script invocation: always supports thread_id argument for both Node.js and Python, regardless of call sequence.
- No file changes detected; update is documentation only.
v1.0.1
Version 1.0.1
- Improved thread_id management: Now maintains thread_id by skill dimension, ensuring each skill instance preserves its own conversation context when invoked multiple times in the same OpenClaw session.
- Documentation update: Clarified thread_id usage with examples for multi-skill workflows.
- No functional/code changes; SKILL.md documentation only.
v1.0.0
A股财务分析助手 v1.0.0
- 首次发布，实现A股股票智能财务分析功能。
- 集成对Prana平台远程agent的调用，自动返回分析结果。
- 支持通过Node.js或Python运行，根据环境自动选择方式。
- 环境变量自动检测与api_key获取流程，提升使用安全性和便利性。
- 提供历史请求查询接口，便于浏览器访问分析记录。
Metadata
Frequently Asked Questions
What is Prana A股财务分析助手?
通过调用Prana平台上的远程 agent 执行 A股财务分析助手，并将结果返回给调用方. It is an AI Agent Skill for Claude Code / OpenClaw, with 136 downloads so far.
How do I install Prana A股财务分析助手?
Run "/install prana-stock-scoring-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Prana A股财务分析助手 free?
Yes, Prana A股财务分析助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Prana A股财务分析助手 support?
Prana A股财务分析助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Prana A股财务分析助手?
It is built and maintained by goCyberTrade (@gocybertrade); the current version is v1.0.4.
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