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.

貢獻指南

這個儲存庫沒有索引到貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

研究方向

在 macOS 上使用全域安裝的 exa-search skill 重現此問題,然後追蹤 Command Code 使用的 skill 註冊與檔案讀取路徑。當位於 workspace 外部的 skill 可以被讀取並執行,且現有的重現流程成功時,即表示完成。

由索引模型根據 Issue 內容生成。

評估

技術堆疊
fish, macos
領域
cli, operating-systems
Issue 類型
缺陷
難度
3/5
預估耗時
1-2 天
活躍度
冷清
描述清晰度
基本清楚
新手友好度
48/100

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