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 j4flmao/agent-skills --skill blue-team-socgit clone --depth 1 https://github.com/j4flmao/agent-skillsWrote 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/j4flmao/agent-skills/blue-team-soc)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/blue-team-soc"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/blue-team-soc/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/j4flmao/agent-skills/blue-team-soc"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/blue-team-soc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00482 |
| Opus 5 | $0.00010 | $0.00241 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
blue-team-soc-operations 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 8d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blue Team & SOC Operations Methodology
Core Architecture & SIEM Paradigm
A resilient Security Operations Center (SOC) relies on a robust Security Information and Event Management (SIEM) architecture. The objective is holistic visibility across the enterprise telemetry plane, orchestrating log ingestion, normalization, correlation, and alerting. Data ontology must prioritize high-fidelity indicators over raw volume, enabling real-time detection engineering and proactive defense mechanisms.
Incident Response Lifecycle (NIST SP 800-61 / SANS)
The structural foundation of incident handling dictates a deterministic approach to anomaly resolution.
- Preparation: Establishing baselines, tooling, and communication protocols.
- Identification: Differentiating malicious activity from benign operational noise via anomaly detection.
- Containment: Halting the threat propagation while preserving forensic artifacts.
- Eradication: Removing the root cause and associated persistence mechanisms.
- Recovery: Restoring services to a verified secure state.
- Lessons Learned: Integrating post-mortem intelligence into detection engineering.
Threat Hunting & Hypothesis Generation
Proactive threat hunting transcends automated alerting. It requires the formulation of intelligence-driven hypotheses—assuming a state of compromise—to query historical telemetry for covert adversary behaviors, typically aligned with MITRE ATT&CK defensive mappings.
Log Analysis Ontology
Conceptual log analysis demands parsing unstructured security events into actionable structured data. It involves correlating disparate timestamped entries across disparate systems (e.g., EDR, NDR, IAM) to reconstruct temporal attack vectors.
%%{init: {"theme": "default", "flowchart": {"useMaxWidth": true}}}%%
flowchart TD
A[Telemetry Sources] --> B[Log Aggregation]
B --> C[SIEM Correlation Engine]
C --> D{Alert Generation}
D -- True Positive --> E[Incident Identification]
D -- False Positive --> F[Detection Tuning]
E --> G[Containment Strategy]
G --> H[Eradication & Forensics]
H --> I[Recovery Operations]
I --> J[Post-Incident Review]
J --> C
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.
- 8d ago First seen · 40 lines · 21 tokens per session scan A 068de8cda021
blue-team-soc-operations is a skill published in the GitHub repository j4flmao/agent-skills (23 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 482 once invoked, about $0.0001 per session on Opus 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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