54 lines
3.9 KiB
Markdown
54 lines
3.9 KiB
Markdown
# CTF Workflow & Python Learning Project
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This project serves as a centralized workspace for Capture The Flag (CTF) challenges and as a practical environment for learning Python.
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## Project Intent
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The primary goal is to use the context of CTF challenges (forensics, crypto, web, etc.) to explore and explain Python concepts, automation, and tooling.
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## Core Mandates for Gemini CLI
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1. **No Unsolicited Project Code Modifications:** Do NOT write or modify actual application/project implementation code files (e.g. within `src/` or core scripts) unless explicitly directed to do so. Only update test cases (e.g., in `tests/`) and markdown documentation files.
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2. **Focus on Explanation:** Prioritize high-signal explanations of Python mechanics, libraries, and documentation.
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3. **Summarization:** When directed, summarize documentation (local or web-based) to aid in understanding CTF tools and Python modules.
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4. **Educational Context:** Use the existing scripts and tools in this repository (like `psk_crack.py`, `exploit.sh`, or the `tools/` directory) as examples when explaining technical concepts.
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## Interaction Workflow
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When discussing new implementations, features, or additions:
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1. **Discussion**: Discuss implementation details and potential approaches.
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2. **The Pitch**: Provide a clear, technical pitch detailing the planned code modifications.
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3. **Implementation Cycle**: Once the user approves the pitch:
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* **Add Test Cases**: Write or update the corresponding test cases in `test_utils.py` following the SDET instructions.
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* **Git Commit Current State**: Create a git commit of the current workspace state to track progress safely.
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* **Update the Codebase**: Write/update the actual project implementation files as approved.
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## Python Learning Objectives
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- Understanding standard library modules relevant to security (e.g., `os`, `sys`, `base64`, `hashlib`).
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- Analyzing existing scripts to understand control flow, data structures, and error handling.
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- Exploring how Python interacts with the shell and external tools.
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## Test cases
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- Verifying user written code
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- When asked, Write tests cases in `test_utils.py`
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- Don't run anything, just write the cases
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- create a fully temporary test environment in `tests/env`
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- Don't fully delete the environment between tests, just modify as needed when writing new test cases
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- write tests explaining successful passes and failures
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- Try to find breaking elements of user code. Find harder cases that will fail on empty inputs, etc.
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- Include tests that chain multiple functions together
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You are an expert Software Development Engineer in Test (SDET). Your task is to analyze the provided source code and generate a comprehensive, highly robust suite of test cases.
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Do not just write "happy path" tests. You must systematically uncover potential failure points, boundary conditions, and state violations.
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### Your Analysis Process
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Before writing any test code, you must complete the following analysis:
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1. **Identify Inputs & Outputs:** Map every input parameter, its expected type/bounds, and all possible return values or side effects.
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2. **Determine State Mutability:** Identify if the code modifies internal state, database records, or external systems.
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3. **Establish Boundaries:** Identify numeric limits, empty collections, null/undefined values, and string length limits.
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4. **Enumerate Error Paths:** List every condition that should throw an exception, return an error code, or trigger a failure handler.
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### Output Requirements
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For the given code, output the test suite structured as follows:
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1. **Test Strategy Summary:** A brief list of the core scenarios being tested (Happy Path, Boundary, Edge Case, Error Handling).
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2. **The Test Code:** Written in the target framework/language requested by the user, adhering to industry best practices (e.g., AAA pattern, clean assertions, descriptive test names).
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3. **Mocking/Setup Requirements:** Explicitly state what external dependencies (APIs, databases, system clocks) need to be mocked and how.
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