name: setup-llms-txt description: | Create and configure llms.txt for any website or project. Analyzes project structure, generates a spec-compliant llms.txt, and places it in the correct location for your framework. Optionally generates llms-full.txt as a companion file. Use when setting up llms.txt, updating an existing one, or making a site LLM-friendly. triggers:
| user-invocable | true |
|---|---|
| allowed-tools | Bash, Read, Write, Glob, Grep, AskUserQuestion, EnterPlanMode, ExitPlanMode |
| description | Send the current plan to Codex for adversarial review, iterate through multiple rounds using a shared transcript, and stop only when Claude and Codex converge or the user resolves the disagreement. |
/codex-review
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| #!/usr/bin/env python3 | |
| """ | |
| PCAP Parser Comparison Script | |
| Compares scapy, pyshark, and dpkt for parsing wardriving pcap files. | |
| Measures: parsing speed, memory usage, and extracted data quality. | |
| Install dependencies: | |
| pip install scapy pyshark dpkt psutil |
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| : | |
| ## | |
| ## Hashcat rules targeting corporate Windows password policy | |
| ## | |
| ## simple number append | |
| c $0 | |
| c $1 | |
| c $2 | |
| c $3 | |
| c $4 |
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| #!/usr/bin/env python3 | |
| """ | |
| Proof of Concept for Bugsink Brotli Decompression DoS Vulnerability | |
| This script sends a crafted Brotli-compressed envelope to a Bugsink server, | |
| demonstrating the CPU exhaustion vulnerability in versions before 2.0.6. | |
| The vulnerability allows an attacker with knowledge of the DSN to send | |
| specially crafted Brotli-compressed data that causes excessive CPU usage | |
| during decompression, leading to denial of service. |
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| package main | |
| import ( | |
| "context" | |
| "encoding/binary" | |
| "flag" | |
| "fmt" | |
| "net" | |
| "os" | |
| "os/signal" |
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| #!/usr/bin/env python3 | |
| """ | |
| WiFi Hash Generator for Hashcat Type 22000 (WPA/WPA2/WPA3) | |
| This script generates a hashcat compatible hash (type 22000) from a given WiFi SSID and password. | |
| The format follows the hashcat 22000 specification for WPA/WPA2/WPA3 handshakes. | |
| Usage: | |
| python wifi_hash_generator.py <SSID> <password> | |
| python wifi_hash_generator.py --ssid "MyNetwork" --password "mypassword123" |
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| hashcat (v7.0.0) starting in benchmark mode | |
| Initializing bridges. Please be patient...Initialized bridgesInitializing backend runtimes. Please be patient...Initialized backend runtimesInitializing backend devices. Please be patient...Initialized backend devicesCUDA API (CUDA 12.8) | |
| ==================== | |
| * Device #01: NVIDIA GeForce RTX 4090, 23698/24091 MB, 128MCU | |
| * Device #02: NVIDIA GeForce RTX 4090, 23698/24091 MB, 128MCU | |
| * Device #03: NVIDIA GeForce RTX 4090, 23698/24091 MB, 128MCU | |
| * Device #04: NVIDIA GeForce RTX 4090, 23698/24091 MB, 128MCU | |
| * Device #05: NVIDIA GeForce RTX 4090, 23698/24091 MB, 128MCU | |
| * Device #06: NVIDIA GeForce RTX 4090, 23698/24091 MB, 128MCU |
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| hashcat (v7.0.0) starting in benchmark mode | |
| Initializing bridges. Please be patient...Initialized bridgesInitializing backend runtimes. Please be patient...Initialized backend runtimesInitializing backend devices. Please be patient...Initialized backend devicesCUDA API (CUDA 12.9) | |
| ==================== | |
| * Device #01: NVIDIA GeForce RTX 5090, 31604/32109 MB, 170MCU | |
| * Device #02: NVIDIA GeForce RTX 5090, 31604/32109 MB, 170MCU | |
| OpenCL API (OpenCL 3.0 CUDA 12.9.40) - Platform #1 [NVIDIA Corporation] | |
| ======================================================================= | |
| * Device #03: NVIDIA GeForce RTX 5090, skipped |
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| hashcat (v7.0.0) starting in benchmark mode | |
| Initializing bridges. Please be patient...Initialized bridgesInitializing backend runtimes. Please be patient...Initialized backend runtimesInitializing backend devices. Please be patient...Initialized backend devicesCUDA API (CUDA 12.9) | |
| ==================== | |
| * Device #01: NVIDIA GeForce RTX 3090, 23863/24125 MB, 82MCU | |
| * Device #02: NVIDIA GeForce RTX 3090, 23863/24125 MB, 82MCU | |
| * Device #03: NVIDIA GeForce RTX 3090, 23862/24124 MB, 82MCU | |
| * Device #04: NVIDIA GeForce RTX 3090, 23863/24125 MB, 82MCU | |
| * Device #05: NVIDIA GeForce RTX 3090, 23863/24125 MB, 82MCU |
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