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 adriannoes/awesome-agentic-ai --skill performing-alert-triage-with-elastic-siemgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/performing-alert-triage-with-elastic-siem)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/performing-alert-triage-with-elastic-siem"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/performing-alert-triage-with-elastic-siem/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/adriannoes/awesome-agentic-ai/performing-alert-triage-with-elastic-siem"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/performing-alert-triage-with-elastic-siem.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 | $0.00036 | $0.01969 |
| Opus 5 | $0.00018 | $0.00984 |
| Sonnet 5 | $0.00007 | $0.00394 |
| Haiku 4.5 | $0.00004 | $0.00197 |
Grade A, and why
performing-alert-triage-with-elastic-siem 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 9d 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performing Alert Triage with Elastic SIEM
Overview
Alert triage in Elastic Security is the systematic process of reviewing, classifying, and prioritizing security alerts to determine which represent genuine threats. Elastic's AI-driven Attack Discovery feature can triage hundreds of alerts down to discrete attack chains, but skilled analyst triage remains essential. A structured triage workflow typically takes 5-10 minutes per alert cluster using Elastic's built-in tools.
When to Use
- When conducting security assessments that involve performing alert triage with elastic siem
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Elastic Security deployed (version 8.x or later)
- Elastic Agent or Beats configured for endpoint and network data collection
- Detection rules enabled and generating alerts
- Elastic Common Schema (ECS) compliance across data sources
- Analyst access to Kibana Security app with appropriate privileges
Alert Triage Workflow
Step 1: Initial Alert Assessment (2 minutes)
When viewing an alert in Elastic Security, review the alert details panel:
Alert Details Panel:
- Rule Name and Description
- Severity and Risk Score
- MITRE ATT&CK Mapping
- Host and User Context
- Process Tree (for endpoint alerts)
- Timeline of related events
Key Fields to Examine First
| Field | Purpose | ECS Field |
|---|---|---|
| Rule severity | Initial priority assessment | kibana.alert.severity |
| Risk score | Quantified threat level | kibana.alert.risk_score |
| Host name | Affected system | host.name |
| User name | Affected identity | user.name |
| Process name | Executing process | process.name |
| Source IP | Origin of activity | source.ip |
| Destination IP | Target of activity | destination.ip |
| MITRE tactic | Attack stage | threat.tactic.name |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 255 lines · 36 tokens per session scan A fba8437a251a
performing-alert-triage-with-elastic-siem is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 36 tokens to every session and 1,969 once invoked, about $0.0002 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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