القائمة
Executes Python code in a temporary sandbox to verify it works before finalizing a mission.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create a calendar event by generating an ICS file and opening it in the default calendar application. Use when the user wants to schedule a meeting, appointment, or reminder.
Synthesize the memory timeline into an updated truth summary by merging recent timeline entries with the existing executive summary via the configured LLM. Use to consolidate long-term memory in μZephyr.
Index local files and optionally watch a folder for automatic RAG indexing using ChromaDB and Whoosh. Use when the user wants to make local files searchable or enable hot-watch on a directory.
Create, update, or refine the system prompts for the Agency roles (Supervisor, Researcher, Coder, Reviewer).
Recursively merges .py files from a directory into a single source string.
Search local files using hybrid semantic and keyword retrieval (ChromaDB + Whoosh). Falls back to recursive grep when the index is unavailable. Use when the user wants to find information in their local documents.
| name | sandbox |
| description | Executes Python code in a temporary sandbox to verify it works before finalizing a mission. |
| compatibility | Requires Python 3.10+ |
| tags | ["coder"] |
Executes a snippet of Python code in an isolated temporary environment. This skill is primarily used by the Coder to verify that a proposed solution or script works as intended before it is delivered to the user or integrated into the core system.
This skill is used by the Coder to:
The sandbox can run in two modes:
SANDBOX_BACKEND=docker or auto with Docker available.The Docker path disables container networking and mounts only the temporary workspace. The fallback path still uses subprocess.run, isolated Python startup, a temporary workspace, and a sanitized environment, but it is not equivalent to full container or WASM isolation.
The execution logic is contained within scripts/sandbox.py. It captures STDOUT and STDERR to provide a full execution report back to the agent for debugging or confirmation.