building-threat-intelligence-platform

building-threat-intelligence-platform is a skill for Claude Code, Codex from andycungkrinx91/konoha. It costs 40 tokens per session (2,490 once invoked), scanned A, a copy of building-threat-intelligence-platform, MIT.

A guide to building a threat intelligence platform, which collects, analyzes, enriches, and shares information about cyber threats. It brings tools such as MISP, OpenCTI, TheHive, and Cortex into a coordinated system.

In plain words
What is it for?
Use it to design feed ingestion, enrichment, STIX/TAXII data exchange, analyst dashboards, and integrations between threat intelligence tools.
Why use it?
It replaces disconnected threat-data tools and manual handoffs with shared workflows and common data formats. This helps teams organize intelligence and distribute it to defensive systems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to design feed ingestion, enrichment, STIX/TAXII data exchange, analyst dashboards, and integrations between threat intelligence tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andycungkrinx91/konoha/building-threat-intelligence-platform
Install

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.

Any agent
npx skills add andycungkrinx91/konoha --skill building-threat-intelligence-platform
Clone the repo
git clone --depth 1 https://github.com/andycungkrinx91/konoha

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for building-threat-intelligence-platform

README.md
[![agentmods](https://agentmods.dev/badge/skills/andycungkrinx91/konoha/building-threat-intelligence-platform/github.svg)](https://agentmods.dev/skills/andycungkrinx91/konoha/building-threat-intelligence-platform)
Your own site
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/building-threat-intelligence-platform"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/building-threat-intelligence-platform/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.

agentmods 80×15 button for building-threat-intelligence-platform

Your own site · 80×15
<a href="https://agentmods.dev/skills/andycungkrinx91/konoha/building-threat-intelligence-platform"><img src="https://agentmods.dev/badge/skills/andycungkrinx91/konoha/building-threat-intelligence-platform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,490 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.02490
Opus 5.5 $0.00016 $0.00996
Sonnet 5.5 $0.00008 $0.00498
Haiku 4.5 $0.00004 $0.00249

Measured today against content hash dce96a0092c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

building-threat-intelligence-platform 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 today.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

resp = requests.get(
Origin

This is a copy

100% identical to building-threat-intelligence-platform — 0 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.

.agents/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/building-threat-intelligence-platform/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Threat Intelligence Platform

Overview

Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. This skill covers designing TIP architecture using open-source tools (MISP, OpenCTI, TheHive, Cortex), configuring feed ingestion pipelines, establishing enrichment workflows, implementing STIX/TAXII interoperability, and building analyst dashboards for CTI operations.

When to Use

  • When deploying or configuring building threat intelligence platform capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Docker and Docker Compose for deploying platform components
  • Python 3.9+ with pymisp, pycti, thehive4py libraries
  • Elasticsearch/OpenSearch cluster for data storage
  • Redis and RabbitMQ for message queuing
  • Understanding of STIX 2.1 data model and TAXII 2.1 transport
  • API keys for enrichment services (VirusTotal, Shodan, AbuseIPDB)

Key Concepts

TIP Architecture Components

  1. Collection Layer: Feed ingestion from OSINT, commercial, and internal sources
  2. Storage Layer: Elasticsearch/OpenSearch for indexed CTI data with STIX 2.1 schema
  3. Analysis Layer: OpenCTI for knowledge graph analysis and MISP for IOC correlation
  4. Enrichment Layer: Cortex analyzers for automated IOC enrichment
  5. Response Layer: TheHive for case management and incident response integration
  6. Sharing Layer: TAXII server for outbound intelligence sharing

Platform Integration Points

  • MISP <-> OpenCTI: Bidirectional sync via OpenCTI MISP connector
  • OpenCTI <-> TheHive: Alert/case creation from high-confidence indicators
  • TheHive <-> Cortex: Automated analysis and enrichment of case observables
  • All <-> SIEM: Real-time IOC push to Splunk/Elastic via API or Kafka

Read the full file on GitHub · 324 lines

Files

What ships with it

6 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.

Changes

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.

  1. today First seen · 324 lines · 40 tokens per session scan A dce96a0092c5

Subscribe to this mod's changes

building-threat-intelligence-platform is a skill published in the GitHub repository andycungkrinx91/konoha (12 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 2,490 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to building-threat-intelligence-platform, differing in 0 lines, and is treated as a copy.

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