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 autohandai/community-skills --skill building-threat-intelligence-enrichment-in-splunkgit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/building-threat-intelligence-enrichment-in-splunk)<a href="https://agentmods.dev/skills/autohandai/community-skills/building-threat-intelligence-enrichment-in-splunk"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-threat-intelligence-enrichment-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/autohandai/community-skills/building-threat-intelligence-enrichment-in-splunk"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/building-threat-intelligence-enrichment-in-splunk.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00035 | $0.02389 |
| Opus 5 | $0.00017 | $0.01195 |
| Sonnet 5 | $0.00007 | $0.00478 |
| Haiku 4.5 | $0.00003 | $0.00239 |
Grade A, and why
building-threat-intelligence-enrichment-in-splunk scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get(url, headers=headers, timeout=60) This is a copy
88% identical to building-threat-intelligence-enrichment-in-splunk — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Threat Intelligence Enrichment in Splunk
Overview
Splunk's Threat Intelligence Framework in Enterprise Security enables SOC teams to automatically correlate indicators of compromise (IOCs) against security events. The framework ingests threat feeds, normalizes indicators into KV Store collections, and uses lookup-based correlation searches to flag matching events. Splunk Threat Intelligence Management centralizes collection, normalization, and enrichment from multiple sources, reducing triage time by providing analysts with immediate context.
Prerequisites
- Splunk Enterprise Security (ES) 7.x or later
- Threat Intelligence Management add-on or Threat Intelligence Framework
- API keys for external threat intelligence feeds (MISP, OTX, VirusTotal, AbuseIPDB)
- KV Store enabled and properly configured
- Admin access for modular input configuration
Threat Intelligence Framework Architecture
External TI Sources (STIX/TAXII, CSV, API)
|
v
Modular Inputs (download and parse feeds)
|
v
KV Store Collections (normalized IOC storage)
|-- ip_intel
|-- domain_intel
|-- file_intel
|-- url_intel
|-- email_intel
|
v
Threat Intelligence Lookups
|
v
Correlation Searches (match events against IOCs)
|
v
Notable Events (enriched with TI context)
Configuring Threat Intelligence Sources
STIX/TAXII Feed Integration
# inputs.conf - TAXII feed configuration
[threatlist://taxii_feed_example]
description = TAXII 2.1 Threat Feed
type = taxii
url = https://threatfeed.example.com/taxii2/
collection = threat-indicators-v21
polling_interval = 3600
api_key = <encrypted_api_key>
disabled = false
CSV-Based Threat List
# inputs.conf - CSV threat list
[threatlist://custom_blocklist]
description = Internal threat blocklist
type = csv
url = https://internal.company.com/threat-feeds/blocklist.csv
polling_interval = 1800
disabled = false
Custom Modular Input for API-Based Feeds
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.
- 8d ago First seen · 288 lines · 35 tokens per session scan A 4aefd2af4d60
building-threat-intelligence-enrichment-in-splunk is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,389 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to building-threat-intelligence-enrichment-in-splunk, differing in 32 lines, and is treated as a copy.
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