Dotnet Decompiler

Community

ptn1411

dotnet-decompiler

Automated .NET/C# decompilation and security analysis. Uses ilspycmd for batch decompilation with manual IL fallback. Detects obfuscators (ConfuserEx, .NET Reactor, Babel) and scans for license logic, API keys, and protection patterns.

Overview

Publisher	ptn1411
Repository	`skill`
Skill name	`dotnet-decompiler`
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 Decompiler 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-decompiler
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-decompiler .claude/skills/dotnet-decompiler

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

Use it in TypingMind

Enable Dotnet Decompiler 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 Decompiler 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 Decompiler 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 Decompiler & Analyzer

Decompile .NET assemblies to C# source and analyze for license logic, secrets, and protection patterns.

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
binary-identifier	Upstream — confirms target is .NET
binary-patcher	Downstream — patch license checks
symbolic-execution-tools	Solve license constraints symbolically
frida-hooker	Dynamic bypass via CLR hooking

How .NET Works


source.cs → C# compiler → IL bytecode (.dll/.exe with CLI header)
                              ↓
              Metadata tables (types, methods, fields, strings)
              IL method bodies (CIL instructions)
              Resources (embedded files, configs, Costura.Fody merged DLLs)

.NET decompilation is high-fidelity — IL bytecode retains most source structure (names, types, control flow). Obfuscators try to break this by renaming, encrypting strings, flattening control flow.

Step 1 — Detect .NET and Obfuscator

bash
python scripts/decompile_dotnet.py --detect-only target.exe

powershell
python scripts\decompile_dotnet.py --detect-only target.exe

Checks: mscoree.dll import, CLI header, BSJB metadata signature, obfuscator markers.

Step 2 — Decompile

bash
python scripts/decompile_dotnet.py target.exe --out decompiled/

powershell
python scripts\decompile_dotnet.py target.exe --out decompiled\

Decompiler priority:

ilspycmd (ILSpy CLI) — install: dotnet tool install -g ilspycmd
Manual IL metadata extraction (built-in, no deps)

Step 3 — Analyze

bash
python scripts/analyze_dotnet.py decompiled/ --out analysis/

Scans for:

License validation (LicenseManager, TrialCheck, ExpiryDate, HWID)
API keys and connection strings
Obfuscation artifacts (unprintable names, delegate CF, resource decryptors)
Costura.Fody merged assemblies

Workflow


1. DETECT    → decompile_dotnet.py --detect-only → .NET version + obfuscator
2. DECOMPILE → decompile_dotnet.py → C# source
3. ANALYZE   → analyze_dotnet.py → license logic + secrets + protection map
4. REPORT    → Present findings IN VIETNAMESE

Final Report to User (always in Vietnamese)


🔷 Decompile .NET hoàn tất:

  🏗️ Framework     : .NET <VERSION>
  🛡️ Obfuscator    : <DETECTED or None>
  📁 Files decompile: <COUNT> types
  🔑 License logic  : <FOUND/NOT FOUND>

  🔍 Phát hiện:
    - <license methods, API keys, protection patterns>

  💾 Output: decompiled/

  ▶ Bước tiếp theo:
    - binary-patcher: patch license check
    - frida-hooker: hook CLR methods runtime

Anti-Patterns

❌ Don't	✅ Do
Assume all .NET apps are unprotected	Check for obfuscator first
Skip resource extraction	Costura.Fody hides DLLs as resources
Use only GUI tools (dnSpy)	ilspycmd automates batch decompilation
Ignore string encryption	ConfuserEx encrypts strings — look for decryptor methods
Present findings in English	Final summary in Vietnamese

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 Decompiler AI skill do?

Why use Dotnet Decompiler on TypingMind?

Because you install it once and use it with any model. Dotnet Decompiler 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 Decompiler in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ptn1411/skill/tree/main/dotnet-decompiler. 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 Decompiler?

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 Decompiler?

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

Is the Dotnet Decompiler 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 Decompiler & Analyzer

0. Authorization & Routing

How .NET Works

Step 1 — Detect .NET and Obfuscator

Step 2 — Decompile

Step 3 — Analyze

Workflow

Final Report to User (always in Vietnamese)

Anti-Patterns

Bundled files

Frequently asked questions

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