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在 OpenClaw 中安装
/install my-stock-log-skill
功能描述
当且仅当用户明确提到“分析日志多维表”或“my_stock_log_skill”时触发。专门用于美股分析报告结论在钉钉多维表（dingtalk-ai-table）中的结构化归档（新增）与检索（查询）。
安全使用建议
This skill is a lightweight instruction wrapper that validates four fields and delegates reads/writes to the dingtalk-ai-table skill. Before installing, check the following: (1) confirm the downstream dingtalk-ai-table skill is trustworthy and you understand which DingTalk credentials it will use and their scope (access to the listed Base ID/Sheet ID); (2) verify the hard-coded Base ID and Sheet ID are the table you expect and that writing records there is acceptable; (3) test inserts/queries with non-sensitive sample data to confirm the delegation and field-validation behave as documented; and (4) consider data retention and access controls on the DingTalk table (sensitive analysis could be visible to others). If you are satisfied with the dingtalk-ai-table skill's permissions and the table target, the my_stock_log_skill itself is coherent and low-risk.
功能分析
Type: OpenClaw Skill
Name: my-stock-log-skill
Version: 1.0.1
The skill bundle consists of instructions for an AI agent to manage stock analysis logs within a specific DingTalk multi-dimensional table (Base ID: 1OQX0akWmxpyBpnaCQQQoYkY8GlDd3mE). The SKILL.md file defines a clear schema for data validation and outlines standard procedures for inserting and querying records via the dingtalk-ai-table dependency. No malicious logic, data exfiltration, or harmful prompt injection attempts were identified.
能力评估
Purpose & Capability
Name, description, and runtime instructions all describe the same function (insert/query records in a specific dingtalk-ai-table). The skill does not request unrelated binaries, env vars, or file paths, and its hard-coded Base ID and Sheet ID are consistent with a single-table archiver.
Instruction Scope
SKILL.md restricts behavior to field validation, asking the user for missing data, delegating inserts/reads to the dingtalk-ai-table skill, and performing local filtering/presentation. This is within scope, but the skill relies entirely on another skill (dingtalk-ai-table) to perform network/API actions — you should verify that that downstream skill only performs the expected DingTalk operations and has appropriate permissions. The instructions are otherwise specific (field formats, truncation rules).
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk or downloaded during install.
Credentials
The skill itself requests no environment variables or credentials, which is proportionate. However, because it delegates to dingtalk-ai-table for API access, any credentials required to access DingTalk will be requested/used by that other skill — verify that those credentials are scoped to the intended table and not overly broad.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent/always-on presence or modify other skills' configs. No elevated persistence privileges are 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 my-stock-log-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/my-stock-log-skill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
v1.0.1
批量同步最新版本
元数据
常见问题
my_stock_log_skill 是什么？
当且仅当用户明确提到“分析日志多维表”或“my_stock_log_skill”时触发。专门用于美股分析报告结论在钉钉多维表（dingtalk-ai-table）中的结构化归档（新增）与检索（查询）。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 134 次。
如何安装 my_stock_log_skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install my-stock-log-skill」即可一键安装，无需额外配置。
my_stock_log_skill 是免费的吗？
是的，my_stock_log_skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
my_stock_log_skill 支持哪些平台？
my_stock_log_skill 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 my_stock_log_skill？
由 canonxu（@canonxu）开发并维护，当前版本 v1.0.1。
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