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 triaging-security-alerts-in-splunkgit 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/triaging-security-alerts-in-splunk)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/triaging-security-alerts-in-splunk"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/triaging-security-alerts-in-splunk/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/triaging-security-alerts-in-splunk"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/triaging-security-alerts-in-splunk.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 | $0.00082 | $0.02049 |
| Opus 5 | $0.00041 | $0.01025 |
| Sonnet 5 | $0.00016 | $0.00410 |
| Haiku 4.5 | $0.00008 | $0.00205 |
Grade A, and why
triaging-security-alerts-in-splunk 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Triaging Security Alerts in Splunk
When to Use
Use this skill when:
- SOC Tier 1 analysts need to process the Incident Review queue in Splunk Enterprise Security (ES)
- Notable events require rapid severity classification and initial investigation before escalation
- Alert volume exceeds capacity and analysts need a systematic triage methodology
- Management requests metrics on alert disposition (true positive, false positive, benign)
Do not use for deep forensic investigation — escalate to Tier 2/3 after initial triage confirms malicious activity.
Prerequisites
- Splunk Enterprise Security 7.x+ with Incident Review dashboard configured
- CIM-normalized data sources (Windows Event Logs, firewall, proxy, endpoint)
- Role with
ess_analystcapability for notable event status updates - Familiarity with SPL (Search Processing Language)
Workflow
Step 1: Access Incident Review and Prioritize Queue
Open the Incident Review dashboard in Splunk ES. Sort notable events by urgency (calculated from severity x priority). Apply filters to focus on unassigned events:
| `notable`
| search status="new" OR status="unassigned"
| sort - urgency
| table _time, rule_name, src, dest, user, urgency, status
| head 50
Focus on Critical and High urgency events first. Group related alerts by src or dest to identify attack chains rather than treating each alert independently.
Step 2: Investigate the Notable Event Context
For each notable event, pivot to raw events. Example for a brute force alert:
index=wineventlog sourcetype="WinEventLog:Security" EventCode=4625
src_ip="192.168.1.105"
earliest=-1h latest=now
| stats count by src_ip, dest, user, status
| where count > 10
| sort - count
Check if the source IP is internal (lateral movement) or external (perimeter attack). Cross-reference with asset and identity lookups:
| `notable`
| search rule_name="Brute Force Access Behavior Detected"
| lookup asset_lookup_by_cidr ip AS src OUTPUT category, owner, priority
| lookup identity_lookup_expanded identity AS user OUTPUT department, managedBy
| table _time, src, dest, user, category, owner, department
What ships with it
3 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 · 225 lines · 82 tokens per session scan A 87d8021a9b90
triaging-security-alerts-in-splunk is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 82 tokens to every session and 2,049 once invoked, about $0.0004 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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importing-a-codebase
Use when the repo holds real source code but no specs: the existing-codebase branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for empty workspaces (starting-a-new-project) or feature work in a specced project (brainstorming).