Linux Process Injection

Organization

SpecterOps

linux-process-injection

Use this skill when the user asks about Linux process injection, using ptrace for injection, LD_PRELOAD injection, writing to procfs, remote access via process_vm_writev, seccomp notify injection, PTRACE_POKETEXT, GOT overwrite, remote thread creation on Linux, or bypassing Yama ptrace restrictions.

Overview

Publisher	SpecterOps
Repository	`skills`
Skill name	`linux-process-injection`
Stars	706
Forks	80
Bundled files	4
License	Apache-2.0
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SpecterOps on GitHub. Read the source before you install it.

Installation

Install the Linux Process Injection 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/SpecterOps/skills/tree/main/plugins/tradecraft-linux/skills/linux-process-injection
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/SpecterOps/skills/tree/main/plugins/tradecraft-linux/skills/linux-process-injection

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/SpecterOps/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/tradecraft-linux/skills/linux-process-injection .claude/skills/linux-process-injection

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

Use it in TypingMind

Enable Linux Process Injection 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 Linux Process Injection 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 Linux Process Injection 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.

Linux Process Injection

Overview

Linux has no direct equivalents of Windows APIs like VirtualAllocEx, VirtualProtectEx, or CreateRemoteThread. Allocation, permission changes, and thread creation must be induced inside the target process rather than performed remotely. All live-process injection methods are gated by the ptrace access-check algorithm, which evaluates credentials, dumpability, capabilities, and LSM policy.

There are two primary injection models:

Live process: modify an existing image with ptrace, /proc/<pid>/mem, or process_vm_writev. Use the model overwrite -> execute -> recover.
Controlled launch or exec: arrange loading into a new image with LD_PRELOAD or seccomp user notification.

Consult the capability matrix for feasibility checks.

Workflow

Classify the lifecycle. Decide whether the target is already running or launched under injector control.
Profile the target. Identify architecture, ABI, mappings, RELRO, thread state, loader/libc, kernel features, and mitigations.
Validate prerequisites. Check ptrace and LSM/Yama policy, loader behavior, or parent-child seccomp support as applicable.
Separate staging from execution. Identify both where bytes or objects are placed and how control reaches them.

Method Rules

Use ptrace for register control, thread stops, or the broadest live-process control.
Treat /proc/<pid>/mem writes through non-writable mappings as kernel-policy dependent.
Use process_vm_writev only for writable memory.
Treat LD_PRELOAD as controlled dynamic-loader behavior; static binaries, secure-execution mode, and environment sanitization can block it.
Treat seccomp notification as syscall mediation, not remote memory or register control. The seccomp-notify PoC installs a listener before execve and substitutes a staged shared-object FD for a selected loader openat call.

References

Capability matrix
The Definitive Guide to Linux Process Injection
akamai/Linux-Process-Injection
Seccomp Notify Injection
outflanknl/seccomp-notify-injection

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 Linux Process Injection AI skill do?

Why use Linux Process Injection on TypingMind?

Because you install it once and use it with any model. Linux Process Injection 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 Linux Process Injection in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpecterOps/skills/tree/main/plugins/tradecraft-linux/skills/linux-process-injection. 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 Linux Process Injection?

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 Linux Process Injection?

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

Is the Linux Process Injection AI skill free?

Yes. It is published on GitHub by SpecterOps under the Apache-2.0 license. 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

Linux Process Injection

Overview

Workflow

Method Rules

References

Bundled files

Frequently asked questions

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