STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
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epx add mukul975/Anthropic-Cybersecurity-Skills/implementing-stix-taxii-feed-integrationCompatible with
Supported agents
| name | implementing-stix-taxii-feed-integration |
| description | STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence. |
| domain | cybersecurity |
| subdomain | threat-intelligence |
| tags | - threat-intelligence - cti - ioc - mitre-attack - stix - taxii - feed-integration - oasis |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02 |
STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence. This skill covers implementing a STIX/TAXII 2.1 feed consumer and producer using Python, configuring TAXII server discovery, collection management, polling for new intelligence, parsing STIX 2.1 objects, and integrating feeds into SIEM and TIP platforms.
taxii2-client, stix2, cti-taxii-client librariesTAXII defines a RESTful API with three service types:
STIX objects are categorized as:
A Bundle is a collection of STIX objects transmitted together. Bundles have a unique ID and contain an array of objects. TAXII collections serve bundles in response to GET requests.
from taxii2client.v21 import Server, Collection, as_pages
# Connect to MITRE ATT&CK TAXII server
server = Server("https://cti-taxii.mitre.org/taxii2/", user="", password="")
print(f"Title: {server.title}")
print(f"Description: {server.description}")
# List API roots
for api_root in server.api_roots:
print(f"\nAPI Root: {api_root.title}")
print(f" URL: {api_root.url}")
# List collections
for collection in api_root.collections:
print(f" Collection: {collection.title} (ID: {collection.id})")
print(f" Can Read: {collection.can_read}")
print(f" Can Write: {collection.can_write}")
from taxii2client.v21 import Collection, as_pages
import json
# Connect to Enterprise ATT&CK collection
ENTERPRISE_ATTACK_ID = "95ecc380-afe9-11e4-9b6c-751b66dd541e"
collection = Collection(
f"https://cti-taxii.mitre.org/stix/collections/{ENTERPRISE_ATTACK_ID}/",
user="",
password="",
)
print(f"Collection: {collection.title}")
# Fetch all objects (paginated)
all_objects = []
for envelope in as_pages(collection.get_objects, per_request=50):
objects = envelope.get("objects", [])
all_objects.extend(objects)
print(f" Fetched {len(objects)} objects (total: {len(all_objects)})")
print(f"\nTotal objects retrieved: {len(all_objects)}")
# Categorize by type
type_counts = {}
for obj in all_objects:
obj_type = obj.get("type", "unknown")
type_counts[obj_type] = type_counts.get(obj_type, 0) + 1
for obj_type, count in sorted(type_counts.items()):
print(f" {obj_type}: {count}")
from stix2 import parse, Filter, MemoryStore
# Load objects into a MemoryStore for querying
store = MemoryStore(stix_data=all_objects)
# Query for all indicators
indicators = store.query([Filter("type", "=", "indicator")])
print(f"Indicators: {len(indicators)}")
for ind in indicators[:5]:
print(f" {ind.name}: {ind.pattern}")
# Query for malware
malware_list = store.query([Filter("type", "=", "malware")])
print(f"\nMalware families: {len(malware_list)}")
# Query for threat actors
actors = store.query([Filter("type", "=", "intrusion-set")])
print(f"Threat actors: {len(actors)}")
# Find relationships for a specific object
def get_related(store, source_id):
relationships = store.query([
Filter("type", "=", "relationship"),
Filter("source_ref", "=", source_id),
])
return relationships
# Example: Get all techniques used by APT28
apt28 = store.query([
Filter("type", "=", "intrusion-set"),
Filter("name", "=", "APT28"),
])
if apt28:
rels = get_related(store, apt28[0].id)
for rel in rels:
target = store.get(rel.target_ref)
if target:
print(f" {rel.relationship_type} -> {target.name} ({target.type})")
from taxii2client.v21 import Collection, as_pages
from stix2 import parse, Bundle
from datetime import datetime, timedelta
import json
class TAXIIConsumer:
"""Consume STIX/TAXII 2.1 feeds and extract IOCs."""
def __init__(self, collection_url, user="", password=""):
self.collection = Collection(collection_url, user=user, password=password)
self.last_poll = None
def poll_new_objects(self, added_after=None):
"""Poll for objects added after a specific timestamp."""
if added_after is None:
added_after = (
self.last_poll or
(datetime.utcnow() - timedelta(days=1)).strftime(
"%Y-%m-%dT%H:%M:%S.000Z"
)
)
all_objects = []
kwargs = {"added_after": added_after}
for envelope in as_pages(
self.collection.get_objects, per_request=100, **kwargs
):
objects = envelope.get("objects", [])
all_objects.extend(objects)
self.last_poll = datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S.000Z")
return all_objects
def extract_indicators(self, objects):
"""Extract actionable indicators from STIX objects."""
indicators = []
for obj in objects:
if obj.get("type") == "indicator":
indicators.append({
"id": obj.get("id"),
"name": obj.get("name", ""),
"pattern": obj.get("pattern", ""),
"pattern_type": obj.get("pattern_type", ""),
"valid_from": obj.get("valid_from", ""),
"valid_until": obj.get("valid_until", ""),
"indicator_types": obj.get("indicator_types", []),
"confidence": obj.get("confidence", 0),
"labels": obj.get("labels", []),
})
return indicators
def extract_observables(self, objects):
"""Extract STIX Cyber Observables."""
observables = []
observable_types = {
"ipv4-addr", "ipv6-addr", "domain-name", "url",
"file", "email-addr", "network-traffic",
}
for obj in objects:
if obj.get("type") in observable_types:
observables.append({
"type": obj["type"],
"value": obj.get("value", ""),
"id": obj.get("id"),
})
return observables
# Usage
consumer = TAXIIConsumer(
f"https://cti-taxii.mitre.org/stix/collections/{ENTERPRISE_ATTACK_ID}/"
)
new_objects = consumer.poll_new_objects()
indicators = consumer.extract_indicators(new_objects)
print(f"New indicators: {len(indicators)}")
# medallion configuration (medallion.conf)
TAXII_CONFIG = {
"backend": {
"module_class": "MemoryBackend",
},
"users": {
"admin": "admin_password",
"readonly": "readonly_password",
},
"taxii": {
"max_content_length": 10485760,
},
}
# Run medallion server:
# pip install medallion
# python -m medallion --config medallion.conf --port 5000
# Add objects to local TAXII server
import requests
def push_to_taxii(server_url, collection_id, stix_bundle, user, password):
"""Push STIX bundle to a TAXII 2.1 collection."""
url = f"{server_url}/collections/{collection_id}/objects/"
headers = {
"Content-Type": "application/stix+json;version=2.1",
"Accept": "application/taxii+json;version=2.1",
}
response = requests.post(
url,
json=stix_bundle,
headers=headers,
auth=(user, password),
timeout=30,
)
return response.json()
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionimplementing-stix-taxii-feed-integrationExecute the skills CLI command in your project's root directory to begin installation:
epx add mukul975/Anthropic-Cybersecurity-Skills/implementing-stix-taxii-feed-integrationFetches implementing-stix-taxii-feed-integration from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/implementing-stix-taxii-feed-integration
Restart Cursor to activate implementing-stix-taxii-feed-integration. Access via /implementing-stix-taxii-feed-integrationin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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Keeps context tight: implementing-stix-taxii-feed-integration is the kind of skill you can hand to a new teammate without a long onboarding doc.
implementing-stix-taxii-feed-integration is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in implementing-stix-taxii-feed-integration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added implementing-stix-taxii-feed-integration from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend implementing-stix-taxii-feed-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: implementing-stix-taxii-feed-integration is focused, and the summary matches what you get after install.
Registry listing for implementing-stix-taxii-feed-integration matched our evaluation — installs cleanly and behaves as described in the markdown.
implementing-stix-taxii-feed-integration reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in implementing-stix-taxii-feed-integration — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend implementing-stix-taxii-feed-integration for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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