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在 OpenClaw 中安装
/install my-stock-report-mgnt-skill
功能描述
当且仅当用户明确提到“分析报告多维表”或“my_stock_report_mgnt_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 internally consistent, but before installing: (1) verify the dingtalk-ai-table skill exists and review its credentials/permissions (this adapter depends on that skill to access DingTalk); (2) confirm the hard-coded Base ID and Sheet ID point to the correct table you expect the agent to modify; (3) ensure the document URLs you will store are appropriately access-controlled (they may contain sensitive reports); (4) test insert/query operations on a non-production table to validate validation, formatting, and performance (fetching all records and client-side filtering can be heavy on large datasets); and (5) if you need server-side filtering or stronger access controls, consider extending the underlying dingtalk-ai-table skill rather than fetching all rows locally.
能力评估
Purpose & Capability
The name/description match the instructions: collect six specified fields, validate them, and perform insert/query operations against a DingTalk multi-dimensional table. It explicitly delegates API calls to a dingtalk-ai-table skill rather than attempting to access unrelated services. The inclusion of hard-coded Base ID and Sheet ID is consistent with a skill targeted at a specific table, though users should confirm those IDs are intended.
Instruction Scope
The SKILL.md stays within the stated purpose: field collection/validation, calling the dingtalk-ai-table skill to perform inserts/reads, local filtering, and formatted display. It does not instruct reading unrelated files or environment variables. Note: it instructs fetching all records from the table and filtering locally — this is functionally reasonable but may be inefficient for very large tables and could leak more rows to the agent than strictly necessary unless the underlying dingtalk-ai-table supports server-side filtering.
Install Mechanism
No install spec and no code files (instruction-only), so nothing is written to disk or downloaded. This is the lowest-risk installation surface.
Credentials
The skill itself requests no environment variables or credentials, which is proportional. However it depends on another skill (dingtalk-ai-table) to perform API calls and thus implicitly relies on that skill to hold DingTalk credentials and network access. Users should review the dingtalk-ai-table skill's permissions and credential requirements before trusting this skill. Also, the workflow expects users to provide URLs to uploaded documents — those links may be sensitive and require appropriate access controls.
Persistence & Privilege
always:false and user-invocable:true — the skill does not request permanent inclusion or elevated platform privileges. It writes to the specified Base ID/Sheet ID (as advertised) but does not attempt to modify other skills or system-wide settings.
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-report-mgnt-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/my-stock-report-mgnt-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
v1.0.0
Initial creation
元数据
常见问题
my_stock_report_mgnt_skill 是什么？
当且仅当用户明确提到“分析报告多维表”或“my_stock_report_mgnt_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 135 次。
如何安装 my_stock_report_mgnt_skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install my-stock-report-mgnt-skill」即可一键安装，无需额外配置。
my_stock_report_mgnt_skill 是免费的吗？
是的，my_stock_report_mgnt_skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
my_stock_report_mgnt_skill 支持哪些平台？
my_stock_report_mgnt_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_report_mgnt_skill？
由 canonxu（@canonxu）开发并维护，当前版本 v1.0.0。
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