Situational Awareness logo

Situational Awareness

Organization
zero-lab-ai
situational-awareness

Assesses a freshly compromised host quietly before acting — who/where/what's here/what's watching/what's around — using local reads and living-off-the-land so the SOC never sees the recon. Use right after gaining a foothold, before privilege escalation or lateral movement, or when deciding whether an enumeration command is quiet enough to run.

Overview

Publisherzero-lab-ai
Repositoryskills
Skill namesituational-awareness
Stars
232
Forks
14
Bundled files
4
LicenseApache-2.0
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.

  • 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 zero-lab-ai on GitHub. Read the source before you install it.

Installation

Install the Situational Awareness 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/zero-lab-ai/skills/tree/main/plugins/recon-operations/skills/situational-awareness
  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/zero-lab-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/recon-operations/skills/situational-awareness .claude/skills/situational-awareness
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Situational Awareness 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 Situational Awareness 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 Situational Awareness 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.

Situational awareness

The shell is blinking. You're in. Now sit on your hands for sixty seconds.

The first mistake most operators make is whoami && ipconfig && net user && systeminfo in rapid fire — while Sysmon logs every process, the EDR watches, and the night-shift analyst gets a very interesting alert. Assess before you act, and assess quietly. Every command is a potential detection.

When to Use

  • Assess a foothold within an operation's noise budget.
  • Use only within explicit authorization and the stated rules of engagement.

When NOT to Use

  • Do not treat this skill as permission to access, test, or change a target.
  • Do not convert missing evidence into a clean result or a stronger claim.

The five questions

Answer these before you escalate, dump, or move:

  1. Who am I? user, privileges, groups
  2. Where am I? host, network, domain
  3. What's here? software, data, services
  4. What's watching me? security tools, logging, alerting — answer this early, because it changes how you answer the rest
  5. What's around me? other systems, connections, trust relationships

Classify the noise before you run it

sh
uv run {baseDir}/scripts/classify_enum.py plan.json

Classifies each planned command by the signal it generates and fails a stealth-required plan that contains a loud or unclassified command.

  • silent — local host read, zero packets (whoami, arp -a, netstat, cat /proc/...)
  • blend — looks like normal administration (ldapsearch to the DC, one DNS lookup, net view)
  • loud — anomalous: scans, sweeps, Responder. A stealth plan rejects these.

Unknown commands fail closed; a monitored channel (PowerShell, WMI) is blend but flagged, because "it ran" is not "it was unseen". See references/noise-levels.md.

Prefer what's already there (living off the land)

The quietest enumeration sends no new packets and uses no dropped tools:

  • ARP cache — arp -a or /proc/net/arp lists hosts this box already talked to. Active targets, zero new traffic.
  • Passive capture — sit on an interface with a native sniffer; broadcast, mDNS, LLMNR and DHCP reveal hostnames and services without a probe.
  • Ask the directory, don't scan it — one LDAP query to the DC returns every computer and SPN. That is inventory without a port scan, and it looks like normal admin traffic.
  • Native loops over dropped scanners — a slow Test-NetConnection or /dev/tcp check reads as background admin noise; a port scanner reads as an attacker.

Rationalizations to reject

ThoughtReality
"Let me just run my standard recon one-liner."That one-liner is a signature. Rapid-fire enumeration is the classic post-exploitation alert.
"I'll scan the subnet to see what's around."A scan from a foothold is the loudest thing you can do. Read the ARP cache and ask the DC instead.
"PowerShell ran, so I'm fine."PowerShell is script-block logged and AMSI-scanned. It ran and it was recorded.
"I need a full picture before I move."Completeness is a pentest value. Here, the picture you got without being seen beats the complete one that burned your access.
"This command isn't in the classifier, probably quiet."Unknown fails closed. Assess its signal before you run it, not after.
"Answer 'what's watching me' later."Answer it first. What's watching changes every other choice you make on the host.

References

  • Noise levels — silent / blend / loud, the monitored-channel flag, and how the classifier decides

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 Situational Awareness AI skill do?

Assesses a freshly compromised host quietly before acting — who/where/what's here/what's watching/what's around — using local reads and living-off-the-land so the SOC never sees the recon. Use right after gaining a foothold, before privilege escalation or lateral movement, or when deciding whether an enumeration command is quiet enough to run.

Why use Situational Awareness on TypingMind?

Because you install it once and use it with any model. Situational Awareness 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 Situational Awareness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zero-lab-ai/skills/tree/main/plugins/recon-operations/skills/situational-awareness. 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 Situational Awareness?

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 Situational Awareness?

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

Is the Situational Awareness AI skill free?

Yes. It is published on GitHub by zero-lab-ai 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.

View all

Set up your own AI workspace now

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