- macOS, en-US.
- Be direct and critical. Say when the user is wrong.
- Prefer security, correctness, then speed.
- Keep changes small, reversible, and easy to review.
- Do not present guesses as verified facts.
- Use
stinstead of ripgrep/grep
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| # Get coding plan | |
| https://z.ai/subscribe | |
| You then go generate an API key. | |
| # use an isolated version of claude code with z.ai support | |
| # https://github.com/numman-ali/cc-mirror | |
| # Z.ai (GLM-5/4.7/4.5-Air) | |
| npx cc-mirror quick --provider zai --api-key "$Z_AI_API_KEY_HERE" |
✅ TL;DR — Quick Commands & Tools
- APKEditor → https://github.com/REAndroid/APKEditor
- dex2jar → https://github.com/pxb1988/dex2jar * Only for reverse engineering
- JD-GUI / jadx → View decompiled Java https://github.com/java-decompiler/jd-gui/releases/tag/v1.6.6 * Only for reverse engineering
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| { | |
| "name": "@anthropic-ai/claudie-code", | |
| "version": "1.0.117", | |
| "description": "Anthropic's official CLI for Claude, designed to help with software engineering tasks. This is a best guess deobfuscation.", | |
| "type": "module", | |
| "main": "dist/entrypoints/cli.js", | |
| "bin": { | |
| "claude": "dist/entrypoints/cli.js" | |
| }, | |
| "files": [ |
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| # It's not recommended to install other repos unless you have to | |
| # | |
| sudo apt-get update | |
| sudo apt install python3-launchpadlib software-properties-common | |
| sudo add-apt-repository ppa:deadsnakes/ppa | |
| sudo sed -i 's|deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu/ kali-rolling main|deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu/ noble main|' /etc/apt/sources.list.d/deadsnakes-ubuntu-ppa-kali-rolling.list | |
| sudo apt-get update | |
| sudo apt install python3.10 python3.10-venv |
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| #include <windows.h> | |
| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <psapi.h> | |
| #pragma comment(lib, "psapi.lib") | |
| #define NT_SUCCESS(Status) (((NTSTATUS)(Status)) >= 0) | |
| #define STATUS_INFO_LENGTH_MISMATCH 0xC0000004 | |
| typedef LONG NTSTATUS; |
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| #define _GNU_SOURCE | |
| #include <stdio.h> | |
| #include <string.h> | |
| #include <unistd.h> | |
| #include <sys/prctl.h> | |
| #include <sys/mman.h> | |
| #include <errno.h> | |
| #include <dirent.h> | |
| #include <sys/mount.h> | |
| #include <sys/stat.h> |
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| # !pip install torch transformers scikit-learn umap-learn matplotlib datasets joblib pandas zstandard | |
| ''' | |
| Code outline: | |
| 1. Loading the pre-trained GPT-2 model and tokenizer. | |
| 2. Loading or downloading the dataset and saving it to disk with compression. | |
| 3. Collecting and normalizing activations from the middle layer of the model. | |
| 4. Training multiple SAEs with different feature sizes and saving them to disk. | |
| 5. Finding the feature that responds to the phrase "Golden Gate Bridge" in each SAE. |
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| ! sudo apt install python3.10-venv | |
| ! pip uninstall -y lightgbm && rm -rf LightGBM && git clone --recursive https://github.com/Microsoft/LightGBM && cd LightGBM && sh build-python.sh install --gpu | |
| ! mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd |
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