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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…

Skill by mukul975

IndexedApache-2.0★ 34,941
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About

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, normalization, scoring, and distribution to detection systems.

Use cases: security

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/building-threat-intelligence-feed-integration

What's inside

Skill name
building-threat-intelligence-feed-integration
Description
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, normalization, scoring, and distribution to detection systems.
License
Apache-2.0
Instructions
310 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Instructions call the network

Files (4)

  • LICENSE
  • SKILL.md
  • api-reference.md · references/
  • agent.py · scripts/

SKILL.md (first lines)

# 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:

```python
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("---")
```

### Step 3: Ingest Open-Source Feeds

**Abuse.ch URLhaus Feed:**

```python
import requests
import csv
from io import StringIO

# Download URLhaus recent URLs
response = requests.get("https://urlhaus.abuse.ch/downloads/csv_recent/")
reader = csv.reader(StringIO(response.text), delimiter=',')

indicators = []
for row in reader:
    if row[0].startswith("#"):
        continue
    indicators.append({
        "id": row[0],
        "dateadded": row[1],
        "url": row[2],
        "url_status": row[3],
        "threat": row[5],
        "tags": row[6]
    })

print(f"Ingested {len(indicators)} URLs from URLhaus")

# Filter for active threats only
active = [i for i in indicators if i["url_status"] == "online"]
print(f"Active threats: {len(active)}")
```

**AlienVault OTX Pulse Feed:**

```python
from OTXv2 import OTXv2, IndicatorTypes

otx = OTXv2("YOUR_OTX_API_KEY")

# Get subscribed pulses (last 24 hours)
pulses = otx.getall(modified_since="2024-03-14T00:00:00")

From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.

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Forks
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Open issues
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Last commit (this folder)
Jun 1, 2026 (5 months ago)
Last release
Jun 22, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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building-threat-intelligence-feed-integration skill. Agent Mart. https://agentmart.dev/skills/mukul975-building-threat-intelligence-feed-integration (last updated 2026-10-24)