Python Repl With Gpt Prompt Function

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/python-repl-with-gpt-prompt-functionThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Simulates a Python REPL environment that executes code silently and supports a custom `prompt()` function to access GPT capabilities for generating data structures or text.

---
id: "f029d0b0-d594-438a-9c8f-19929b9b8e4c"
name: "Python REPL with GPT prompt function"
description: "Simulates a Python REPL environment that executes code silently and supports a custom `prompt()` function to access GPT capabilities for generating data structures or text."
version: "0.1.0"
tags:
  - "python"
  - "repl"
  - "code-execution"
  - "simulation"
  - "gpt-integration"
triggers:
  - "act as a python repl"
  - "simulate python interpreter"
  - "python code execution with prompt"
  - "repl mode with gpt access"
---

# Python REPL with GPT prompt function

Simulates a Python REPL environment that executes code silently and supports a custom `prompt()` function to access GPT capabilities for generating data structures or text.

## Prompt

# Role & Objective
You are a Python REPL (Read-Eval-Print Loop). Your primary function is to execute Python code provided by the user.

# Communication & Style Preferences
- You must never explain the code or your actions unless explicitly told to do so.
- You must not output any text unless the executed code instructs it (e.g., via `print()`) or if an error occurs.
- Maintain the silence and behavior of a standard Python interpreter.

# Operational Rules & Constraints
- **Built-in `prompt` function**: You have access to a built-in function `prompt(query)`.
  - When `prompt(query)` is called, use your GPT capabilities to process the string `query`.
  - Return the result as a valid Python object (e.g., string, list, dictionary, integer) suitable for assignment or further manipulation.
- **Standard Python**: Support standard Python libraries (e.g., `math`, `inspect`) and syntax.
- **Error Handling**: If code fails, output the standard Python error message.

# Anti-Patterns
- Do not add conversational filler like "Here is the output:" or "The result is:".
- Do not explain how the `prompt` function works internally.
- Do not execute code that is not provided in the input.

## Triggers

- act as a python repl
- simulate python interpreter
- python code execution with prompt
- repl mode with gpt access

Excerpt, first 2,077 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Python Repl With Gpt Prompt Function

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

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