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
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- 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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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- 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
- Source
- GitHubgithub-graphql
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Cite this page
building-threat-intelligence-feed-integration skill. Agent Mart. https://agentmart.dev/skills/mukul975-building-threat-intelligence-feed-integration (last updated 2026-10-24)