building-threat-intelligence-feed-integration

building-threat-intelligence-feed-integration is a skill for Claude Code from 26zl/cybersec-toolkit. It costs 74 tokens per session (2,973 once invoked), scanned A, original, MIT.

An automated pipeline that imports threat intelligence from STIX/TAXII, open-source, and commercial feeds into SIEM and security tools. Threat intelligence contains indicators such as suspicious IP addresses, domains, URLs, and file hashes.

In plain words
What is it for?
It helps ingest feeds, convert them to a common STIX 2.1 format, assess feed quality, and trigger matches or alerts in detection systems.
Why use it?
It removes repetitive feed handling by normalizing, deduplicating, and matching indicators against network and endpoint data.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the cybersec-toolkit plugin — 197 skills, 2 hooks, 1 MCP server shipped together

Good fit It helps ingest feeds, convert them to a common STIX 2.1 format, assess feed quality, and trigger matches or alerts in detection systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration
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 26zl/cybersec-toolkit --skill building-threat-intelligence-feed-integration
Clone the repo
git clone --depth 1 https://github.com/26zl/cybersec-toolkit

Made for: Claude Code.

Or install cybersec-toolkit, the plugin that ships this one along with the rest of its 197 skills, 2 hooks, 1 MCP server.

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-feed-integration

README.md
[![agentmods](https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration/github.svg)](https://agentmods.dev/skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration)
Your own site
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration/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-feed-integration

Your own site · 80×15
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-threat-intelligence-feed-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,973 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00074 $0.02973
Opus 5 $0.00037 $0.01486
Sonnet 5 $0.00015 $0.00595
Haiku 4.5 $0.00007 $0.00297

Measured 7d ago against content hash af58c8d74fa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

building-threat-intelligence-feed-integration 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.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.

response = requests.get("https://urlhaus.abuse.ch/downloads/csv_recent/")
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.claude/skills/building-threat-intelligence-feed-integration/SKILL.md · 343 lines

How it starts

The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building Threat Intelligence Feed Integration

When to Use

Use this skill when:

  • SOC teams need automated ingestion of threat intelligence feeds into SIEM platforms
  • Multiple TI sources require normalization into a common format (STIX 2.1)
  • Detection systems need real-time IOC matching against network and endpoint telemetry
  • TI feed quality assessment and deduplication processes need to be established

Do not use for manual IOC lookup — use dedicated enrichment tools (VirusTotal, AbuseIPDB) for ad-hoc queries.

Prerequisites

  • MISP instance or Threat Intelligence Platform (TIP) for feed aggregation
  • STIX/TAXII client library (taxii2-client, stix2 Python packages)
  • SIEM platform (Splunk ES, Elastic Security, or Sentinel) with TI framework configured
  • API keys for commercial and open-source feeds (AlienVault OTX, Abuse.ch, CISA AIS)
  • Python 3.8+ for feed processing automation

Workflow

Step 1: Identify and Catalog Intelligence Sources

Map available feeds by type, format, and update frequency:

Feed Source Format IOC Types Update Freq Cost
AlienVault OTX STIX/JSON IP, Domain, Hash, URL Real-time Free
Abuse.ch URLhaus CSV/JSON URL, Domain Every 5 min Free
Abuse.ch MalwareBazaar JSON API File Hash Real-time Free
CISA AIS STIX/TAXII 2.1 All types Daily Free (US Gov)
CrowdStrike Intel STIX/JSON All types + Actor TTP Real-time Commercial
Mandiant Advantage STIX 2.1 All types + Reports Real-time Commercial

Step 2: Ingest STIX/TAXII Feeds

Connect to a TAXII 2.1 server and download indicators:

from taxii2client.v21 import Server, Collection
from stix2 import parse

# Connect to TAXII server (example: CISA AIS)
server = Server(
    "https://taxii.cisa.gov/taxii2/",
    user="your_username",
    password="your_password"
)

# List available collections
for api_root in server.api_roots:
    print(f"API Root: {api_root.title}")
    for collection in api_root.collections:
        print(f"  Collection: {collection.title} (ID: {collection.id})")

# Fetch indicators from a collection
collection = Collection(
    "https://taxii.cisa.gov/taxii2/collections/COLLECTION_ID/",
    user="your_username",
    password="your_password"
)

# Get indicators added in last 24 hours
from datetime import datetime, timedelta
added_after = (datetime.utcnow() - timedelta(days=1)).strftime("%Y-%m-%dT%H:%M:%S.000Z")

response = collection.get_objects(added_after=added_after, type=["indicator"])
for obj in response.get("objects", []):
    indicator = parse(obj)
    print(f"Type: {indicator.type}")
    print(f"Pattern: {indicator.pattern}")
    print(f"Valid Until: {indicator.valid_until}")
    print(f"Confidence: {indicator.confidence}")
    print("---")

Read the full file on GitHub · 343 lines

Files

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.

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. 7d ago First seen · 343 lines · 74 tokens per session scan A af58c8d74fa9

Subscribe to this mod's changes

building-threat-intelligence-feed-integration is a skill published in the GitHub repository 26zl/cybersec-toolkit (52 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 2,973 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

building-threat-intelligence-feed-integration

Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion…

Youngmaidainon/Agent-Level-Up · 74 tokens

building-threat-intelligence-feed-integration

Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion…

autohandai/community-skills · 74 tokens

building-threat-intelligence-feed-integration

Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion…

RobotFlow-Labs/skills-repo · 74 tokens

Threat Intelligence & CTI

Cyber threat intelligence production — the intelligence cycle, IOC extraction/normalization/enrichment, STIX/TAXII and MISP, structured analytic models (Diamond, Kill Chain, ATT&CK), source scoring, actor/campaign tracking, and finished intelligence reporting.

Masriyan/Claude-Code-CyberSecurity-Skill · 57 tokens

collecting-threat-intelligence-with-misp

Deploy MISP, configure threat feeds (MISP community, freetext, TAXII, CSV), and use the PyMISP API to programmatically fetch, add, and search events and IOCs, building automated collection pipelines that aggregate indicators from community and commercial sources. Use when gathering, storing, or correlating IOCs and…

Youngmaidainon/Agent-Level-Up · 90 tokens

collecting-threat-intelligence-with-misp

MISP (Malware Information Sharing Platform) is an open-source threat intelligence platform for gathering, sharing, storing, and correlating Indicators of Compromise (IOCs) of targeted attacks, threat.

autohandai/community-skills · 48 tokens