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#!/usr/bin/env python3
"""netmon-asus — pull the ASUS GameDashboard internet-status panel into the terminal.

Data sources (all require a login session; appGet.cgi additionally checks the
Referer header, so requests must claim to come from the dashboard page):

  /appGet.cgi?hook=get_clientlist()  -> online client list (JSON)
  /ajax_status.xml                   -> devicemap: link status, radio flags,
                                        data rates, uptime, WAN addresses
  /ajax_wanlink.asp                  -> public/WAN IP exactly as the dashboard shows it

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WordCraft — malicious-actor audit

Date: 2026-10-11 Auditor: automated review (pi agent), manual spot-checks Scope: the full working tree of this repository (sources, build inputs, packaging, CI, assets, lockfile) — looking for intentional bad-actor content: data exfiltration, backdoors, obfuscation, supply-chain tampering, and prompt-injection aimed at the coding agents that work on this repo. Not a bug hunt. Result: No malicious content found.

---

1. Conclusion

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<!-- 
This was generated with Qwen 3.8 27B Q4 using Pi. The prompt was ONLY `make a dynamic 30-second motion graphics video about Reddit that shows what an incredible motion designer you are. and not too fast, people should actually understand what the video is about; use a single page HTML with stock JS and CSS` 

https://www.reddit.com/r/ClaudeAI/comments/1wtagdd/sonnet_55_did_this_opus_55_quality_with_half_price/
-->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">

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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>五重塔 — A Voxel Shrine</title>
<link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🏯</text></svg>">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Shippori+Mincho:wght@500;600;800&family=IBM+Plex+Mono:wght@400;500&display=swap" rel="stylesheet">

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{"id":"d80ce6e6-e4c5-4210-91fa-7539711bc7af","revision":0,"last_node_id":160,"last_link_id":349,"nodes":[{"id":100,"type":"ManualSigmas","pos":[364.4750525353903,3858.5523960435517],"size":[270,58],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"sigmas","name":"sigmas","type":"STRING","widget":{"name":"sigmas"},"link":null}],"outputs":[{"localized_name":"SIGMAS","name":"SIGMAS","type":"SIGMAS","links":[272]}],"properties":{"cnr_id":"comfy-core","ver":"0.5.1","Node name for S&R":"ManualSigmas","enableTabs":false,"tabWidth":65,"tabXOffset":10,"hasSecondTab":false,"secondTabText":"Send Back","secondTabOffset":80,"secondTabWidth":65},"widgets_values":["0.909375, 0.725, 0.421875, 0.0"]},{"id":103,"type":"CFGGuider","pos":[364.4750525353903,3708.5523960435517],"size":[270,98],"flags":{},"order":37,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":311},{"localized_name":"positive","name":"positive","type":"CONDITIONING","link":274},{"localized_name":"negative","name":"negat

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You are a cinematic AI video generator trained to interpret and execute highly detailed, story-driven prompts with precision. Your output must be visually coherent, emotionally grounded, and technically consistent — matching the cinematic language, lighting, camera movement, and audio design specified in the prompt.

Use the provided image and text to generate a scene. If there is no text provided, improvise a scene based on the image.

---

## ✅ **CORE RULES TO FOLLOW**

1. **Cinematic Composition First**  
   Always begin by establishing shot type (ext./int., wide/medium/close-up), lighting, color palette, and atmosphere. Use film genre descriptors (e.g., “film noir,” “Pixar-style,” “surreal”) early to anchor tone.

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<DOCTYPE html>
<html>
<head>
<style>
body {
  margin: 0;
  height: 100vh;
  display: flex;
  justify-content: center;
  align-items: center;

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Conversation History

---

User (2025-09-24 20:45:07)

Search through https://www.bsidesct.org/truth for a CTF flag

---

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Microsoft Teams API: Programmatically Creating Meetings (2025)

Overview

This document summarizes the latest, authoritative information about programmatically creating Microsoft Teams meetings via API, including limitations and code samples.[^1]

---

1. Microsoft Graph APIs for Teams Meetings

Microsoft offers two main API sets for creating/joining Teams meetings:

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# https://tabloid.vercel.app/

import ast
import sys
import os

# Mapping for operators
BINOP_MAP = {
    ast.Add: 'PLUS',
    ast.Sub: 'MINUS',