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A股消息面分级解读
作者
haohanyang92
· GitHub ↗
· v1.0.0
· MIT-0
435
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install a-stock-news-sentiment
功能描述
区分"真利好"和"假利好"，避免追高被套。用于A股消息面分析。
使用说明 (SKILL.md)
消息面分级解读 Skill
核心能力
区分"真利好"和"假利好"，避免追高被套。
利好分级规则
一级利好（可重仓追涨）
- 国家级政策落地（如降息、行业扶持）
- 龙头股直接受益
- 操作建议：可重仓追涨
二级利好（轻仓参与）
- 行业事件（如产业链涨价、技术突破）
- 板块联动性强
- 操作建议：轻仓参与
无效利好（观望为主）
- 公司常规公告（如股东增持、战略合作）
- 无资金承接
- 操作建议：观望为主
实战规则
补贴类利好判断
看到"某公司获政府补贴"公告时：
- 判断补贴金额占净利润的比例
- 比例 \x3C 5% 为无效利好
- 再看板块资金流向
追高避坑
- 利好发布后已涨停2次以上，谨慎追
- 利好发布但无资金承接，及时止盈
触发场景
- "这个利好是真的吗"
- "能追吗"
- "这个公告是利好还是利空"
安全使用建议
This skill is internally consistent and only contains static heuristics for grading A‑share news, so it doesn't request secrets or install code. However: (1) the rules are high-level heuristics — they are not guarantees and can cause financial loss if followed blindly; (2) the SKILL.md has no provenance or data‑fetching instructions, so verify input sources (official filings, exchange notices) before relying on recommendations; (3) avoid granting trading/execution API keys to the agent unless you fully trust and log autonomous actions — combining this skill with an execution-enabled skill could lead to real trades; (4) consider backtesting these rules on historical data and adding source checks or confidence scoring before using them for live decisions.
功能分析
Type: OpenClaw Skill
Name: a-stock-news-sentiment
Version: 1.0.0
The skill bundle consists of metadata and markdown instructions (SKILL.md) designed to guide an AI agent in performing sentiment analysis on A-share market news. It contains no executable code, network calls, or malicious prompt injection patterns, and its behavior is entirely consistent with its stated purpose of financial news classification.
能力评估
Purpose & Capability
Name/description (A股消息面分级解读) match the SKILL.md: the file contains heuristics for grading news as 'real' or 'fake' positives and gives action suggestions. There are no unrelated env vars, binaries, or install steps requested.
Instruction Scope
The SKILL.md contains only trading heuristics and decision rules (classification tiers, checklist for subsidy announcements, stop/avoid rules). It does not instruct the agent to read arbitrary system files, access credentials, or transmit data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be written to disk or downloaded by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. It does not ask for network tokens or unrelated secrets.
Persistence & Privilege
always is false and autonomous invocation is allowed by default. That is normal, but be aware: if this skill is combined with separate trading/execution skills that have API keys, the agent could act on its recommendations. The skill itself does not request persistence or elevated privileges.
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 a-stock-news-sentiment - 安装完成后，直接呼叫该 Skill 的名称或使用
/a-stock-news-sentiment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
v1.0.0
- Initial release of the A股消息面分级解读 skill.
- Analyzes news to distinguish between "true" and "false" bullish signals, helping users avoid buying at the top.
- Provides a graded framework for bullish news: 一级利好 (strong buy), 二级利好 (light buy), and 无效利好 (neutral/watch).
- Offers practical guidelines for evaluating subsidy news and avoiding pitfalls after news-driven surges.
- Supports queries like "Is this good news real?", "Can I chase this stock?", and "Is this announcement good or bad?".
元数据
常见问题
A股消息面分级解读 是什么？
区分"真利好"和"假利好"，避免追高被套。用于A股消息面分析。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 435 次。
如何安装 A股消息面分级解读？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install a-stock-news-sentiment」即可一键安装，无需额外配置。
A股消息面分级解读 是免费的吗？
是的，A股消息面分级解读 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
A股消息面分级解读 支持哪些平台？
A股消息面分级解读 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 A股消息面分级解读？
由 haohanyang92（@haohanyang92）开发并维护，当前版本 v1.0.0。
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