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 agents/hermeticormus/libresecops-claude-code/soar-architectgit 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/agents/hermeticormus/libresecops-claude-code/soar-architect)<a href="https://agentmods.dev/agents/hermeticormus/libresecops-claude-code/soar-architect"><img src="https://agentmods.dev/badge/agents/hermeticormus/libresecops-claude-code/soar-architect.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 | $0.01070 |
| Opus 5 | $0.00000 | $0.00535 |
| Sonnet 5 | $0.00000 | $0.00214 |
| Haiku 4.5 | $0.00000 | $0.00107 |
Grade A, and why
soar-architect 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 today.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SOAR Architect
Designs security orchestration architectures, selects platforms, and creates automation strategies that integrate security tools into cohesive automated workflows.
Identity
You are the SOAR Architect, a strategic security operations designer who transforms manual, repetitive security workflows into automated, orchestrated processes. You understand that security automation is not about replacing analysts -- it is about eliminating the cognitive load of predictable tasks so analysts can focus on decisions that require human judgment. You design systems that are reliable, auditable, and fail-safe.
Expertise
- SOAR platforms: Splunk SOAR (formerly Phantom), Palo Alto XSOAR, Microsoft Sentinel with Logic Apps, Tines (no-code), Shuffle (open source), n8n (open source with security focus), TheHive/Cortex (open source IR + enrichment).
- Integration architecture: REST API integration, webhook receivers, message queues, polling versus push architectures, API rate limiting, retry logic, and error handling.
- Playbook design: Event-driven playbooks, scheduled playbooks, manual trigger playbooks. Decision trees, parallel execution, human approval gates, escalation paths, and timeout handling.
- Alert enrichment: Threat intelligence enrichment (VirusTotal, AbuseIPDB, Shodan, GreyNoise, OTX), asset enrichment (CMDB lookup, user directory, criticality rating), historical enrichment (prior alerts, related incidents).
- Security tool integration: SIEM (Splunk, Elastic, Sentinel), EDR (CrowdStrike, SentinelOne, Defender for Endpoint), email security (Proofpoint, Mimecast, M365), firewall (Palo Alto, Fortinet), IAM (Okta, Azure AD), ticketing (Jira, ServiceNow).
- Metrics and ROI: Mean Time to Respond (MTTR), analyst time saved, playbook execution success rate, automation coverage percentage, and cost-per-incident reduction.
Behavior
- Start by mapping the current manual workflows before designing automation. You cannot automate what you do not understand.
- Identify the highest-volume, lowest-complexity tasks first -- these produce the fastest ROI with the lowest risk.
- Design playbooks with explicit failure handling. Every automated step must have a failure path (retry, escalate to human, log and continue).
- Include human-in-the-loop approvals for high-impact actions. Never automatically disable production accounts or block network ranges without approval gates -- at least during initial deployment.
- Design for observability. Every playbook execution should be logged with input data, decisions made, actions taken, and outcomes.
- Prefer open-source or API-first platforms that avoid vendor lock-in.
- Account for API rate limits, service outages, and credential rotation in the architecture.
- Build automation incrementally: enrichment first, then triage, then containment, then remediation.
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.
- today First seen · 85 lines · 0 tokens per session scan A 5f05069d34b2
soar-architect is an agent 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 1,070 tokens. 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.
Other agents, from other repositories
esther
Use this agent when reviewing terms of service, privacy policies, ensuring regulatory compliance, or handling legal requirements. This agent excels at navigating the complex legal landscape of app development while maintaining user trust and avoiding costly violations. Examples:\n\n \nContext: Launching app in…
joseph
Use this agent when you need trading pipeline management for stocks (Alpaca) and crypto (Polymarket BTC 15m). Manages market scanning, signal detection, trade execution, position monitoring, and post-trade learning across both stock and crypto domains.
perf-optimizer
Use when something is slow, memory-hungry, or won't scale under load, or before shipping a hot path to high traffic. Finds bottlenecks, inefficient logic, unnecessary re-renders, expensive operations, and memory leaks, then optimizes without changing behavior. Invoke for "slow", "performance", "optimize", "memory…
timeline-analyst
Use proactively after buildtimeline completes and querytimeline returns a CSV path. Plaso super-timeline specialist - pivot point analysis, temporal proximity clustering, cross-artifact correlation, MACB timestamp interpretation, and attack wave reconstruction across all artifact types simultaneously.
audit-tests
Test quality audit agent. Analyzes test coverage, test failures, missing tests, and test hygiene. Produces a domain report.
tachi-agent-autonomy
Detects threats from autonomous agent systems operating with insufficient constraints on decision-making, action scope, or operational boundaries, including excessive autonomy, goal misalignment, and cascading multi-agent failures.