使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器,可查询各种类别的JavDB TOP250影片:
及分年数据(存在部分重复影片,原始数据的问题):
使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器,可查询各种类别的JavDB TOP250影片:
及分年数据(存在部分重复影片,原始数据的问题):
| #My solutions to challenges from CoderByte.com. Their Python interpreter is buggy. | |
| #1 Using the Python language, have the function FirstReverse(str) take the str parameter being passed and return the string in reversed order. | |
| def FirstReverse(str): | |
| print str[::-1] | |
| #2 Using the Python language, have the function FirstFactorial(num) take the num parameter being passed and return the factorial of it (ie. if num = 4, return (4 * 3 * 2 * 1)). For the test cases, the range will be between 1 and 18. | |
| def FirstFactorial(num): |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Context: Anthropic's Claude Mythos (unreleased) found 500+ vulnerabilities in production open-source code that survived decades of expert review. These prompts help you find what traditional scanners miss — using Claude Code.
What you need: Claude Code — Anthropic's CLI tool for working with codebases. Free tier available.
Install:
| /* | |
| Aloha mai e Neil: | |
| Below is a forked gist from your original file that you | |
| provided to me. | |
| I have translated each variable line below. For words that needed to be transcreated, I have made a comment | |
| on that line. |
| /* open up chrome dev tools (Menu > More tools > Developer tools) | |
| * go to network tab, refresh the page, wait for images to load (on some sites you may have to scroll down to the images for them to start loading) | |
| * right click/ctrl click on any entry in the network log, select Copy > Copy All as HAR | |
| * open up JS console and enter: var har = [paste] | |
| * (pasting could take a while if there's a lot of requests) | |
| * paste the following JS code into the console | |
| * copy the output, paste into a text file | |
| * open up a terminal in same directory as text file, then: wget -i [that file] | |
| */ |