executing-active-directory-attack-simulation

A guide for simulating attacks against an Active Directory environment, Microsoft's system for managing users, computers, and permissions across a network. The supplied details mainly describe using the rtk command prefix for shell commands.

In plain words
What is it for?
It may be intended for authorized Active Directory security exercises, but the supplied description is too limited to identify concrete jobs beyond its command-prefix rule.
Why use it?
The available information does not explain the attack-simulation steps or other specific capabilities.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/galyarderlabs/galyarder-framework/executing-active-directory-attack-simulation
Clone the repo
git clone --depth 1 https://github.com/galyarderlabs/galyarder-framework

Made for: Cursor.

Per session 1 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,611 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00001 $0.03611
Opus 5 $0.00000 $0.01806
Sonnet 5 $0.00000 $0.00722
Haiku 4.5 $0.00000 $0.00361

Measured 3d ago against content hash 6196a120186f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

executing-active-directory-attack-simulation scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Harvests environment variableshighData exfiltration

Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.

- **LSASS dump**: On compromised hosts, extract credentials from LSASS memory using `mimikatz "sekurlsa::logonpasswords"` or `procdump -ma lsass.exe lsass.dmp` followed by offline extraction
.cursor/rules/executing-active-directory-attack-simulation.mdc · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

THE Agentic Company Framework GLOBAL PROTOCOLS (MANDATORY)

1. Token Economy: The RTK Prefix

The local environment is optimized with rtk (Rust Token Killer). Always use the rtk prefix for shell commands (e.g., rtk npm test) to minimize token consumption.

  • Example: rtk npm test, rtk git status, rtk ls -la.
  • Note: Never use raw bash commands unless rtk is unavailable.

2. Traceability: Linear is Law

No cognitive labor happens outside of a tracked ticket. You operate exclusively within the bounds of a project-scoped issue.

  • Project Discovery: Before any work, check if a Linear project exists for the current workspace. If not, CREATE it.
  • Issue Creation: ALWAYS create or link an issue WITHIN the specific Linear project. NEVER operate on 'No Project' issues.
  • Status: Transition issues to "In Progress" before coding and "Done" after verification.

3. Cognitive Integrity: Scratchpad Reasoning

Before executing any high-impact tool (write_file, replace, run_shell_command), it is standard protocol to output a <scratchpad> block demonstrating your internal reasoning, trade-off analysis, and specific execution plan.

4. Technical Integrity: The industry experts Principles

Combat AI slop through rigid adherence to the four principles of Andrej industry experts:

  1. Think Before Coding: Don't guess. If uncertain, STOP and ASK. State assumptions explicitly. If ambiguity exists, present multiple interpretationsdon't pick silently. Push back if a simpler approach exists.
  2. Simplicity First: Implement the minimum code that solves the problem. No speculative abstractions. If 200 lines could be 50, rewrite it. No "configurability" unless requested.
  3. Surgical Changes: Touch ONLY what is necessary. Every changed line must trace to the request. Don't "improve" adjacent code or refactor things that aren't broken. Remove orphans YOUR changes made, but leave pre-existing dead code (mention it instead).
  4. Goal-Driven Execution: Define success criteria via tests-first. Loop until verified.
    • Multi-step tasks MUST use this syntax:
      1. [Step] verify: [check]
      2. [Step] verify: [check]

Read the full file on GitHub · 201 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 201 lines · 1 tokens per session scan C 6196a120186f

Subscribe to this mod's changes

executing-active-directory-attack-simulation is a cursor rule published in the GitHub repository galyarderlabs/galyarder-framework (22 stars, last pushed 1mo ago), licensed MIT. It adds 1 tokens to every session and 3,611 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.