Dotnet Keygen

Q: Why use Dotnet Keygen on TypingMind?

Because you install it once and use it with any model. Dotnet Keygen 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.

Q: How do I install Dotnet Keygen in TypingMind?

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

Q: Which AI models can use Dotnet Keygen?

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.

Q: How many AI models can I use with Dotnet Keygen?

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

Q: Is the Dotnet Keygen 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.

Q: 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.

Q: 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.

Community

ptn1411

dotnet-keygen

Extract license validation algorithms from decompiled .NET source and generate keygens. Supports common license libraries (Cryptlex, LimeLM, custom), serial format detection, and crypto parameter extraction (RSA/AES/HMAC).

Overview

Publisher	ptn1411
Repository	`skill`
Skill name	`dotnet-keygen`
Stars	275
Forks	133
Bundled files	8
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.
8 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 Keygen 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-keygen
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-keygen .claude/skills/dotnet-keygen

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

Use it in TypingMind

Enable Dotnet Keygen 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 Keygen 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 Keygen 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 Keygen

Extract the license validation algorithm from decompiled .NET code and generate a standalone keygen script.

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 assembly first to get C# source
dotnet-patcher	Patch binary instead of keygen (simpler but less elegant)
writerpro-pentest	Generic keygen template for non-.NET apps
network-interceptor	Capture license server protocol for online validation

Step 1 — Extract License Algorithm

bash
python scripts/extract_license_algo.py decompiled/ --out license_info.json

powershell
python scripts\extract_license_algo.py decompiled\ --out license_info.json

Detects:

Serial format: XXXXX-XXXXX-XXXXX patterns, length, charset, checksum algorithm
Crypto parameters: RSA public keys (modulus/exponent), AES keys/IVs, HMAC secrets
Validation logic: Check digit algorithms, hash comparisons, date encoding
License libraries: Cryptlex, LimeLM, Infralution, SoftwareKey, custom implementations
HWID binding: Machine ID generation algorithm, what hardware data is collected
Feature flags: How license tiers map to features (Pro, Enterprise, etc.)

Step 2 — Generate Keygen

From extracted info

bash
python scripts/generate_keygen.py license_info.json --out keygen.py

From template (common patterns)

bash
python scripts/generate_keygen.py --template serial-checksum --format "XXXXX-XXXXX-XXXXX-XXXXX" --out keygen.py
python scripts/generate_keygen.py --template rsa-signed --pubkey extracted_key.pem --out keygen.py
python scripts/generate_keygen.py --template hwid-hash --algo sha256 --secret "extracted_secret" --out keygen.py

Test generated keygen

bash
python keygen.py --count 5
python keygen.py --hwid "YOUR_MACHINE_GUID"
python keygen.py --features pro --expiry 2030-12-31

Available Templates

Template	File	Use Case
`serial_checksum`	`templates/serial_checksum.py`	Simple serial with check digit (Luhn, mod97, custom)
`rsa_signed`	`templates/rsa_signed.py`	RSA-signed license (need private key or weak key)
`hwid_hash`	`templates/hwid_hash.py`	HWID-bound license with shared secret
`time_based`	`templates/time_based.py`	Time-limited trial with date encoding
`feature_flags`	`templates/feature_flags.py`	License with encoded feature bitmask

Final Report (Vietnamese)


🔑 Keygen generation hoàn tất:

  📋 License type     : <TYPE>
  🔐 Crypto           : <RSA/AES/HMAC/None>
  📐 Serial format    : <FORMAT>
  🖥️ HWID binding     : <YES/NO>
  ⏰ Time-limited     : <YES/NO>
  🎯 Feature flags    : <COUNT> tiers

  💾 Keygen: keygen.py
  📊 Info: license_info.json

Anti-Patterns

❌ Don't	✅ Do
Assume simple serial without analyzing	Always extract the full validation algorithm
Ignore RSA key size	Keys < 512 bits can be factored; larger need private key leak
Skip HWID analysis	Keygen must generate HWID-bound keys if app requires it
Generate keys without testing	Always validate generated keys against extracted algorithm
Ignore online validation	Some apps check key locally AND online — need both
Miss obfuscated string constants	Use dotnet-decompiler with de4dot first

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 Keygen AI skill do?

Why use Dotnet Keygen on TypingMind?

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

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

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 Keygen?

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

Is the Dotnet Keygen 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 Keygen

0. Authorization & Routing

Step 1 — Extract License Algorithm

Step 2 — Generate Keygen

From extracted info

From template (common patterns)

Test generated keygen

Available Templates

Final Report (Vietnamese)

Anti-Patterns

Bundled files

Frequently asked questions

Related AI Skills

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