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# Project Policy | |
This policy provides a single, authoritative, and machine-readable source of truth for AI coding agents and humans, ensuring that all work is governed by clear, unambiguous rules and workflows. It aims to eliminate ambiguity, reduce supervision needs, and facilitate automation while maintaining accountability and compliance with best practices. | |
# 1. Introduction | |
> Rationale: Sets the context, actors, and compliance requirements for the policy, ensuring all participants understand their roles and responsibilities. | |
## 1.1 Actors |
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Create comprehensive and effective test cases for a specified system, feature, or user story, as detailed below. | |
**1. System/Feature/User Story Description:** | |
* [Enter a detailed description of the system or feature here.] | |
**2. Requirements/Acceptance Criteria:** | |
* [List specific requirements or acceptance criteria.] | |
**3. Scope of Testing:** | |
* **In Scope:** [Define what aspects should be tested.] |
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**Role:** You are an expert QA Engineer specializing in test case design and generation. Your goal is to create comprehensive, clear, and effective test cases based on the information provided. | |
**Objective:** Generate test cases for the [**System/Feature/User Story Name**]. | |
**1. System/Feature/User Story Description:** | |
* [Provide a detailed description of the system, feature, or user story. Include its purpose, main functionalities, and expected behavior. If it's a UI, describe the elements. If it's an API, describe the endpoints and request/response structure.] | |
* **Example:** "Generate test cases for the 'User Login' functionality of our e-commerce website. Users should be able to log in using their registered email and password. Upon successful login, they are redirected to their dashboard. Invalid credentials should display an error message." | |
**2. Requirements/Acceptance Criteria:** | |
* [List the specific requirements or acceptance criteria that need to be verified. Be as precise as possible.] |
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using System; | |
using System.Diagnostics; | |
using System.Reflection; | |
using System.Configuration.Install; | |
using System.Runtime.InteropServices; | |
//Add For PowerShell Invocation | |
using System.Collections.ObjectModel; | |
using System.Management.Automation; | |
using System.Management.Automation.Runspaces; |
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<# | |
Author: Casey Smith @subTee | |
License: BSD3-Clause | |
.SYNOPSIS | |
Simple Reverse Shell over HTTP. Execute Commands on Client. | |
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#!/usr/bin/env python2 | |
import logging | |
logging.getLogger("scapy.runtime").setLevel(logging.ERROR) | |
from multiprocessing.pool import ThreadPool | |
from multiprocessing import cpu_count | |
import libemu | |
from cachetools import LRUCache | |
from scapy.layers.all import TCP, UDP, Raw | |
from scapy.all import sniff |
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using System; | |
using System.IO; | |
using System.Diagnostics; | |
using System.Reflection; | |
using System.Configuration.Install; | |
using System.Runtime.InteropServices; | |
//Add For PowerShell Invocation | |
using System.Collections.ObjectModel; | |
using System.Management.Automation; |