Dotnet Patcher

Community

ptn1411

dotnet-patcher

Patch .NET assemblies to bypass license checks — IL bytecode patching, method replacement, strong name removal, anti-tamper NOP. Works on raw bytes without requiring dnlib/Mono.Cecil at runtime.

Overview

Publisher	ptn1411
Repository	`skill`
Skill name	`dotnet-patcher`
Stars	275
Forks	133
Bundled files	3
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ptn1411 on GitHub. Read the source before you install it.

Installation

Install the Dotnet Patcher AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ptn1411/skill/tree/main/dotnet-patcher
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ptn1411/skill.git /tmp/skill
mkdir -p .claude/skills
cp -r /tmp/skill/dotnet-patcher .claude/skills/dotnet-patcher

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dotnet Patcher in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dotnet Patcher on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dotnet Patcher is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

.NET Patcher

Patch .NET assemblies at the IL bytecode level to bypass license validation, remove anti-tamper, strip strong names, and force method returns.

Language rule: All skill instructions use English. Final summary presented to the user must be in Vietnamese.

0. Authorization & Routing

Operates under MASTER_POLICY.md §1-§2.

Sibling skill	When
dotnet-decompiler	Decompile first to identify patch targets
dotnet-keygen	Generate keygen instead of patching
binary-patcher	For native (non-.NET) patches
frida-hooker	Runtime bypass without file modification

Step 1 — Find Patch Targets

Analyze decompiled source to identify license check methods:

bash
python scripts/find_patch_targets.py decompiled/ --out targets.json

powershell
python scripts\find_patch_targets.py decompiled\ --out targets.json

This scans for:

Methods returning bool with license-related names
if/else blocks checking IsRegistered, IsLicensed, CheckLicense
String comparisons against serial/key patterns
DateTime comparisons (trial expiry)
Network calls to license servers

Step 2 — Apply Patches

Auto-patch license checks (scan + patch)

bash
python scripts/patch_dotnet.py target.exe --auto --out patched/target.exe

Patch specific method (force return true)

bash
python scripts/patch_dotnet.py target.exe --method "LicenseManager::IsValid" --force-true --out patched/

Patch specific method (force return false — disable feature check)

bash
python scripts/patch_dotnet.py target.exe --method "Security::IsTrialExpired" --force-false --out patched/

Remove strong name

bash
python scripts/patch_dotnet.py target.exe --remove-strong-name --out patched/

NOP anti-tamper module constructor

bash
python scripts/patch_dotnet.py target.exe --nop-cctor --out patched/

Patch string comparison (make any key valid)

bash
python scripts/patch_dotnet.py target.exe --patch-strcmp "ValidateKey" --out patched/

Step 3 — Verify Patch

bash
python scripts/patch_dotnet.py patched/target.exe --verify

Checks:

Assembly still loads (valid metadata)
Patched methods have correct IL
Strong name removed if requested
File size delta report

Final Report (Vietnamese)


🔧 .NET patch hoàn tất:

  🎯 Target          : <FILENAME>
  📐 Methods patched  : <COUNT>
  🔓 License bypass   : <YES/NO>
  🔑 Strong name      : <REMOVED/INTACT>
  🛡️ Anti-tamper      : <NOPPED/INTACT>
  📦 Output size      : <SIZE> (delta: <+/- BYTES>)

  💾 Output: patched/

Anti-Patterns

❌ Don't	✅ Do
Patch without decompiling first	Always analyze decompiled source to find exact targets
Modify random bytes blindly	Use IL-aware patching (opcode-level)
Forget to remove strong name	Remove SN or re-sign — runtime will reject tampered signed assemblies
Skip anti-tamper check	NOP `<Module>.cctor` if it contains integrity checks
Patch only one check	Scan for ALL license checks — apps often have multiple
Ignore Costura.Fody DLLs	Extract and patch embedded license DLLs too

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dotnet Patcher AI skill do?

Patch .NET assemblies to bypass license checks — IL bytecode patching, method replacement, strong name removal, anti-tamper NOP. Works on raw bytes without requiring dnlib/Mono.Cecil at runtime.

Why use Dotnet Patcher on TypingMind?

Because you install it once and use it with any model. Dotnet Patcher is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dotnet Patcher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ptn1411/skill/tree/main/dotnet-patcher. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dotnet Patcher?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dotnet Patcher?

As many as you like. As long as a model supports skills, you can use Dotnet Patcher with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dotnet Patcher AI skill free?

It is published on GitHub by ptn1411. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

.NET Patcher

0. Authorization & Routing

Step 1 — Find Patch Targets

Step 2 — Apply Patches

Auto-patch license checks (scan + patch)

Patch specific method (force return true)

Patch specific method (force return false — disable feature check)

Remove strong name

NOP anti-tamper module constructor

Patch string comparison (make any key valid)

Step 3 — Verify Patch

Final Report (Vietnamese)

Anti-Patterns

Bundled files

Frequently asked questions

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