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 agentmods add skills/hermeticormus/libresecops-claude-code/detection-engineeringnpx skills add HermeticOrmus/LibreSecOps-Claude-Code --skill detection-engineeringgit 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/detection-engineering)<a href="https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/detection-engineering"><img src="https://agentmods.dev/badge/skills/hermeticormus/libresecops-claude-code/detection-engineering.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.03059 |
| Opus 5 | $0.00000 | $0.01529 |
| Sonnet 5 | $0.00000 | $0.00612 |
| Haiku 4.5 | $0.00000 | $0.00306 |
Grade B, and why
detection-engineering scanned grade B with 2 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 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
run: sudo apt-get install -y yara Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
$d6 = "wget" ascii wide nocase How it starts
The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detection Engineering
Sigma rule syntax, YARA rule writing, detection-as-code workflows, and the methodology of building reliable, maintainable detection rules.
Knowledge Base
The Detection Engineering Lifecycle
Threat Intelligence --> Technique Analysis --> Rule Writing --> Testing
| |
v v
ATT&CK Mapping --> Data Source Validation --> Deployment --> Tuning
|
v
Monitoring --> Retirement
Detection rules are not write-once artifacts. They require ongoing tuning, testing, and retirement as adversary behavior evolves and environments change.
Detection Quality Metrics
| Metric | Definition | Target |
|---|---|---|
| True Positive Rate | Alerts that are actual threats | > 80% for high-fidelity rules |
| False Positive Rate | Alerts that are benign | < 20% (ideally < 5%) |
| Mean Time to Detect (MTTD) | Time from adversary action to alert | < 15 minutes |
| Detection Coverage | % of ATT&CK techniques with detections | Context-dependent |
| Rule Stability | Rules that do not require monthly tuning | > 90% |
Patterns
Pattern 1: Sigma Rule Syntax Reference
# Complete Sigma rule example: Detecting LSASS Memory Access
title: LSASS Memory Access by Non-System Process
id: 0d894093-71bc-43c3-8985-a9f63f0c7a76
status: stable
description: |
Detects process access to LSASS memory which is typically used by
credential dumping tools like Mimikatz. This rule monitors Sysmon
EventID 10 (ProcessAccess) targeting lsass.exe.
references:
- https://attack.mitre.org/techniques/T1003/001/
- https://github.com/redcanaryco/atomic-red-team/blob/master/atomics/T1003.001/T1003.001.md
author: LibreSecOps Detection Engineering
date: 2024/01/15
modified: 2024/06/20
tags:
- attack.credential_access
- attack.t1003.001
logsource:
category: process_access
product: windows
detection:
selection:
TargetImage|endswith: '\lsass.exe'
GrantedAccess|contains:
- '0x1010' # PROCESS_VM_READ | PROCESS_QUERY_INFORMATION
- '0x1410' # PROCESS_VM_READ | PROCESS_QUERY_LIMITED_INFORMATION
- '0x1038' # PROCESS_VM_READ | PROCESS_VM_WRITE | PROCESS_VM_OPERATION
- '0x40' # PROCESS_DUP_HANDLE
- '0x1fffff' # PROCESS_ALL_ACCESS
filter_system:
SourceImage|startswith:
- 'C:\Windows\System32\'
- 'C:\Windows\SysWOW64\'
filter_av:
SourceImage|contains:
- '\MsMpEng.exe' # Windows Defender
- '\csfalconservice.exe' # CrowdStrike
- '\cb.exe' # Carbon Black
filter_lsass_self:
SourceImage|endswith: '\lsass.exe'
condition: selection and not (filter_system or filter_av or filter_lsass_self)
falsepositives:
- Legitimate security tools performing credential management
- Windows Credential Manager operations
- Some backup solutions that access LSASS
level: high
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.
- 3d ago First seen · 371 lines · 0 tokens per session scan B cfd838e67ef5
detection-engineering is a skill published in the GitHub repository HermeticOrmus/LibreSecOps-Claude-Code (4 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,059 tokens. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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