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canonxu

my_stock_log_skill

by canonxu · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
134
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1
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Install in OpenClaw
/install my-stock-log-skill
Description
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)。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install my-stock-log-skill
  3. After installation, invoke the skill by name or use /my-stock-log-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
批量同步最新版本
Metadata
Slug my-stock-log-skill
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is my_stock_log_skill?

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)。 It is an AI Agent Skill for Claude Code / OpenClaw, with 134 downloads so far.

How do I install my_stock_log_skill?

Run "/install my-stock-log-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is my_stock_log_skill free?

Yes, my_stock_log_skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does my_stock_log_skill support?

my_stock_log_skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created my_stock_log_skill?

It is built and maintained by canonxu (@canonxu); the current version is v1.0.1.

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