CommandCodeAI / CommandCodeAI/command-code

Command Code failed to read globally installed skill

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描述

Summary

Command code failed to read and execute globally installed skill. The skill registration found it, but the file permissions didn't follow.

Expected Behavior

Command code should be able to find and read globally installed skill.

Actual Behavior

Command code able to find globally installed skill, but unable to read it because the file is located outside of the workspace.

Steps to reproduce the issue
  1. Install a skill globally, in my case i install exa-search skill globally
  2. Write a prompt that tell command code to find information online (to trigger it to use exa search). In my case, i ask command code to find information to compare Step 2.7 Flash vs Deepseek v4 Flash for coding related task
  3. Press ctrl+o to see the model thinking or read the result
Command Code Version

0.30.1

Operating System

macOS

Terminal/IDE

ghostty

Shell

fish

Additional context

Here is the model COT in my test:

The user asked about comparing Step 3.7 Flash vs DeepSeek V4 Flash for coding tasks. I
tried to use the explore agent, but the skill file for exa-search is outside the
workspace so I couldn't read it. The explore agent returned a general comparison based
on public information.

The user is asking a knowledge question about recent AI model releases - specifically
Step 3.7 Flash vs DeepSeek V4 Flash. This is a question I should answer directly rather
than searching the codebase, per the taste rules: "For questions unrelated to the
current project, do not search the codebase; provide general knowledge answers instead."

However, I also have access to the exa-search skill which is designed for semantic
search. The issue is the SKILL.md file is outside my workspace, so I couldn't read it
via read_file. I could potentially still invoke the skill through shell commands or
other means, but the skill might need to be invoked differently.

贡献指南

这个仓库没有索引到贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

在 macOS 上使用全局安装的 exa-search skill 重现该问题,然后跟踪 Command Code 使用的 skill 注册和文件读取路径。当位于 workspace 外部的 skill 可以被读取和执行,且现有的重现流程成功时,即表示完成。

由索引模型根据 Issue 内容生成。

评估

技术栈
fish, macos
领域
cli, operating-systems
Issue 类型
缺陷
难度
3/5
预计耗时
1-2 天
活跃度
冷清
描述清晰度
基本清楚
新手友好度
48/100

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