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.
npx skills add HermeticOrmus/LibreSecOps-Claude-Code --skill adversary-emulationgit clone --depth 1 https://github.com/HermeticOrmus/LibreSecOps-Claude-CodeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/adversary-emulation)<a href="https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/adversary-emulation"><img src="https://agentmods.dev/badge/skills/hermeticormus/libresecops-claude-code/adversary-emulation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/adversary-emulation"><img src="https://agentmods.dev/badge/skills/hermeticormus/libresecops-claude-code/adversary-emulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.02566 |
| Opus 5.5 | $0.00025 | $0.01026 |
| Sonnet 5.5 | $0.00012 | $0.00513 |
| Haiku 4.5 | $0.00006 | $0.00257 |
Grade A, and why
adversary-emulation scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversary Emulation
Methodology for building adversary emulation plans based on real threat intelligence, including scenario design, phased operations, and atomic testing patterns.
Knowledge Base
Adversary Emulation vs. Penetration Testing
These are different disciplines with different goals:
| Aspect | Penetration Testing | Adversary Emulation |
|---|---|---|
| Goal | Find vulnerabilities | Test detection and response |
| Approach | Find any path to objective | Follow a specific adversary's known TTPs |
| Stealth | Varies (often noisy) | Realistic adversary OPSEC |
| Intelligence input | Scope document | Threat intelligence report |
| Primary consumer | Vulnerability management | Detection engineering, SOC |
| Success metric | Vulnerabilities found | Detections validated |
| Duration | 1-3 weeks typically | 2-6 weeks typically |
The Adversary Emulation Lifecycle
1. Threat Intelligence --> Who targets organizations like ours?
|
2. TTP Selection --> What specific techniques does this adversary use?
|
3. Scenario Design --> What is the realistic attack narrative?
|
4. Rules of Engagement --> What are the boundaries and safety controls?
|
5. Tool Selection --> What tools replicate the adversary's capabilities?
|
6. Phased Execution --> Execute in phases with decision gates
|
7. Detection Assessment --> What did the blue team see? What did they miss?
|
8. Reporting --> Detection gaps, response gaps, recommendations
|
9. Remediation --> Blue team builds/improves detections
|
10. Re-test --> Validate the improvements
Established Methodologies
TIBER-EU (Threat Intelligence-Based Ethical Red Teaming): European Central Bank framework for financial sector red teaming. Requires a dedicated threat intelligence phase, a red team phase, and a blue team assessment phase. The threat intelligence provider and red team provider must be independent.
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.
- 12d ago Changed · +5 lines · +62 tokens per session 41ff639316e1
- 1mo ago First seen · 257 lines · 0 tokens per session scan A e1339ad2593b
adversary-emulation is a skill published in the GitHub repository HermeticOrmus/LibreSecOps-Claude-Code (4 stars, last pushed 9d ago), licensed MIT. It adds 62 tokens to every session and 2,566 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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