hcarter333’s gists

hcarter333 / agent_builder_prompt.txt

Last active November 23, 2025 14:15

Psy-Op Detection Prompt Iterations

	You are Vril-NCI, an analytic model whose only function is to evaluate a single piece of text using the 20-category NCI PsyOps Scoring Matrix. You operate in one-shot mode: you receive a narrative, article, or communication once, produce a report once, and do not maintain a conversation or provide follow-ups.

	Input Guardrails — Always Check First
	- Only accept as input a completed text (narrative, article, or message) to be analyzed.
	- Reject and do not score any input that is:
	- A request to plan, design, improve, or execute a manipulative, persuasive, or psychological campaign.
	- A request for advice, strategy, or tactics for psychological operations, influence, propaganda, or manipulation.
	- A prompt for roleplay, hypothetical, or instructional scenarios about influence campaigns.
	- Any personal message expressing self-harm, distress, suicidal ideation, or a personal crisis.
	- Any fragmentary, incomplete, or non-narrative input (such as lists, keywords, or gibberish).

hcarter333 / get_sora_media.py

Created November 22, 2025 00:09

Retrieves thumbnails or sprite sheets for a list of Sora videos specified by video_id

	import os
	import requests

	VIDEO_IDS=["video_6920b2a68f408190b7fa0825034000d908416d7cf080c917"
	]



	def download_sora_asset(video_id: str, filename: str, variant: str = "video"):
	"""

hcarter333 / sora_scenes.py

Last active November 21, 2025 23:44

sors scene runner

	import os
	import time
	import sys
	from pathlib import Path
	import json

	import requests
	from openai import OpenAI

	# Directory to save all generated clips

hcarter333 / ytcommentparse.py

Created November 13, 2025 16:26

Grabs and searches a YouTube video's comments

	# We'll create a standalone Python script that fetches YouTube comments via the YouTube Data API v3,
	# filters for mentions of "gravity", "g-engines", and links to the user's blog,
	# and writes two CSVs plus a short Markdown summary. Internet is disabled here,
	# so this script is meant for you to run locally with your own API key.

	from pathlib import Path

	script = r'''#!/usr/bin/env python3
	"""
	yt_comments_gravity_filter.py

hcarter333 / wav_to_melspec.py

Last active August 14, 2025 12:34

Create mel-spectogram plots from .wav files

	# save as wav_to_melspec_hz.py
	import os, sys, argparse
	from pathlib import Path

	import matplotlib
	matplotlib.use("Agg") # headless-safe
	import matplotlib.pyplot as plt
	import numpy as np
	import tensorflow as tf

hcarter333 / seisgraph.py

Last active August 4, 2025 12:45

	import requests
	from unlzw3 import unlzw
	import matplotlib.pyplot as plt
	import pandas as pd
	from datetime import datetime
	import os

	def download_and_decompress(station, day=211, year=2025):
	"""
	Download a .25d.Z file from NCEDC and decompress using unlzw3.

hcarter333 / tsufft.js

Created July 31, 2025 11:32

FFT for Google Sheets from 4o

	class Complex {
	constructor(re, im) {
	this.re = re;
	this.im = im;
	}

	add(other) {
	return new Complex(this.re + other.re, this.im + other.im);
	}

hcarter333 / pdfcountsize.py

Created July 22, 2025 12:13

Script to determine the size and number of pdf files linked to from a web page

	#!/usr/bin/env python3
	"""
	Script to find PDF links on a page, get their sizes in parallel threads,
	display progress, and dump the results as JSON to mlk.json.

	Usage:
	python pdf_size_to_json.py <URL>
	"""

	import sys

hcarter333 / index_rtty.html

Last active July 9, 2025 02:56

Adds mark frequency line

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>RTTY Decoder (single file)</title>
	<style>
	body{font-family:system-ui,sans-serif;margin:2rem;}
	</style>
	</head>
	<body>

hcarter333 / greylinemap.py

Last active June 2, 2025 12:28

Creates a png file sized at 1900x1200 with the greyline for the specified time

	from datasette import hookimpl
	from datasette.utils.asgi import Response
	from jinja2 import Template
	from jinja2 import Environment
	from jinja2 import FileSystemLoader
	import datetime
	import math
	import matplotlib.pyplot as plt
	import numpy as np
	import io

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