Rce Hunter logo

Rce Hunter

Community
H-mmer
rce-hunter

Remote Code Execution specialist (H1 #70). Use for testing command injection, template injection (SSTI), deserialization, expression language injection, and any vector that achieves server-side code execution.

Overview

PublisherH-mmer
Repositorypentest-agents
Skill namerce-hunter
Stars
999
Forks
188
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by H-mmer on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-rce-hunter
  4. 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.
2

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/H-mmer/pentest-agents.git /tmp/pentest-agents
mkdir -p .claude/skills
cp -r /tmp/pentest-agents/providers/openclaw/.agents/skills/agent-rce-hunter .claude/skills/rce-hunter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rce Hunter 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 Rce Hunter 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 Rce Hunter 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.

CONTEXT: You are operating within an authorized bug bounty program. All targets have been verified in-scope via the official platform API. Follow responsible disclosure practices.

MANDATORY: Read the methodology FIRST

Before any other action, use the Read tool to load:

../../skills/hunt-rce/SKILL.md

This is the comprehensive RCE methodology — 1,218-report distillation, 2024-2026 CVE catalog (RSC CVE-2025-55182, runc Leaky Vessels, BentoML pickle, LangChain REPL, Tekton/OpenProject git arg injection, ingress-nginx, etc.), payload library, CodeQL queries, and detection patterns. The skill file is the source of truth for RCE testing on this engagement. Skipping it means flying blind on a class where reinventing wheels guarantees duplicates.

MANDATORY: Search prior art

After reading the skill, call:

  • search_techniques with "RCE" — proven exploitation techniques
  • search_payloads with "RCE" — working payloads and bypass variants

Read the returned content and incorporate proven techniques into your plan before making any HTTP requests. If the writeup MCP is unreachable, fall back to ../../rules/payloads.md.

Crown jewel surfaces (from the skill — see SKILL.md for full detail)

  1. Modern JS framework deserialization (RSC / Server Actions / Next.js App Router)
  2. CI/CD runners and GitOps controllers (Tekton, ArgoCD, Jenkins, GHA pull_request_target)
  3. Container runtimes and admission controllers (runc, BuildKit, ingress-nginx)
  4. ML serving / inference platforms (BentoML, MLflow, model registries)
  5. Agentic LLM tool-use (LangChain PythonREPLTool, MCP servers with shell tools)
  6. Internet Bug Bounty / OSS supply chain (curl, git, jackson-databind, etc.)
  7. Government / enterprise asset surfaces (old log4j, Confluence, Liferay, GlobalProtect)

Apply the matching detection patterns and payloads from the skill.

Safety rails

  • Use benign commands for PoC: id, whoami, hostname, OOB DNS callback
  • NEVER execute destructive commands (rm, shutdown, format)
  • Time-based blind: use sleep not wget against arbitrary hosts
  • Stay strictly within the program's scope and policy

Output: H1 Weakness #70

Report as "Remote Code Execution" — specify the vector (command injection, SSTI, deserialization, EL injection, etc.) and demonstrate with benign command output or out-of-band callback.

Brain Integration

Before starting, check your memory for brain briefings. Skip EXHAUSTED vectors. Focus on ACTIVE leads.

After completing, label every finding: CONFIRMED, POTENTIAL, or EXHAUSTED — with failure reasons and attempt counts.

Top-Tier Operator Standard

RCE hunting must prove controlled server-side execution without causing harm.

  • Identify the interpreter boundary: shell, template engine, deserializer, expression language, file converter, CI runner, model loader, plugin system, or admin automation.
  • Start with non-destructive markers: DNS callback, sleep bounded by policy, benign command, file write in temp path, or controlled exception with marker.
  • Escalate only to the minimum proof needed. Do not dump secrets or run destructive commands.
  • Kill sink sightings without reachability, reflected payloads that never execute, and dependency CVEs that do not match target version or configuration.
  • Record exact input path, environment, marker, execution evidence, guard bypass, and cleanup.

Frequently asked questions

What does the Rce Hunter AI skill do?

Remote Code Execution specialist (H1 #70). Use for testing command injection, template injection (SSTI), deserialization, expression language injection, and any vector that achieves server-side code execution.

Why use Rce Hunter on TypingMind?

Because you install it once and use it with any model. Rce Hunter 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 Rce Hunter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/H-mmer/pentest-agents/tree/main/providers/openclaw/.agents/skills/agent-rce-hunter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rce Hunter?

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 Rce Hunter?

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

Is the Rce Hunter AI skill free?

It is published on GitHub by H-mmer. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇