Agent skill

Implementing Stix Taxii Feed Integration

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and…

Apache-2.0Auto-check passedSecurity

Install Implementing Stix Taxii Feed Integration

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-stix-taxii-feed-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-stix-taxii-feed-integration .claude/skills/implementing-stix-taxii-feed-integration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-stix-taxii-feed-integration
GitHub stars
34k
Token cost
~2.7k tokens
SKILL.md length
383 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and…

  • Works in 5 steps: TAXII Server Discovery → Fetch STIX Objects from Collection → Parse STIX 2.1 Objects with stix2 Library → …
  • Integrating a STIX/TAXII CTI feed into a SIEM
  • SKILL.md covers Overview, When to Use, Prerequisites and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; reaches cti-taxii.mitre.org

What it does

Implementing Stix Taxii Feed Integration is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion. Use when integrating a STIX/TAXII CTI feed into a SIEM or TIP, writing a TAXII client to poll for new indicators, or setting up TAXII collections for indicator exchange.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Security, covering OSINT and Security operations. It works with Python. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Integrating a STIX/TAXII CTI feed into a SIEM
  • Writing a TAXII client to poll for new indicators
  • Setting up TAXII collections for indicator exchange

Example prompts

  • “Use the implementing-stix-taxii-feed-integration skill to implement a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python…”
  • “/implementing-stix-taxii-feed-integration”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. TAXII Server Discovery
  2. Fetch STIX Objects from Collection
  3. Parse STIX 2.1 Objects with stix2 Library
  4. Implement Custom TAXII Consumer
  5. Set Up Local TAXII Server with Medallion

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • cti-taxii.mitre.org

    Also links to:

    • docs.oasis-open.org
    • pypi.org
    • stix2.readthedocs.io
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Stix Taxii Feed Integration loads about 2.7k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 383 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 383 words, ~2,654 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-stix-taxii-feed-integration/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
implementing-stix-taxii-feed-integration
description
Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion. Use when integrating a STIX/TAXII CTI feed into a SIEM or TIP, writing a TAXII client to poll for new indicators, or setting up TAXII collections for indicator exchange.
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
mitre_attack
T1591, T1592, T1593, T1589

Implementing STIX/TAXII Feed Integration

Overview

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.

When to Use

  • When deploying or configuring implementing stix taxii feed integration 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

  • Python 3.9+ with taxii2-client, stix2, cti-taxii-client libraries
  • Understanding of STIX 2.1 data model (SDOs, SCOs, SROs)
  • Understanding of TAXII 2.1 protocol (discovery, API roots, collections)
  • Network access to TAXII servers (MITRE ATT&CK TAXII, Anomali STAXX)
  • Optional: medallion for running a local TAXII 2.1 server

Key Concepts

TAXII 2.1 Architecture

TAXII defines a RESTful API with three service types:

  • Discovery: Returns information about available API roots
  • API Root: Contains collections and serves as the main interaction point
  • Collection: A logical grouping of STIX objects accessible via GET/POST
STIX 2.1 Object Model

STIX objects are categorized as:

  • SDOs (STIX Domain Objects): Indicator, Malware, Threat Actor, Campaign, Attack Pattern, Tool, Infrastructure, Vulnerability, Identity, Location, Note, Opinion, Report, Grouping
  • SCOs (STIX Cyber Observables): IPv4-Addr, Domain-Name, URL, File, Email-Addr, Process, Network-Traffic, Artifact
  • SROs (STIX Relationship Objects): Relationship, Sighting
  • Meta Objects: Marking Definition (TLP), Language Content, Extension Definition
Show full SKILL.md (135 more words)Show less
STIX Bundle

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.

Workflow

Step 1: TAXII Server Discovery
python
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}")
Step 2: Fetch STIX Objects from Collection
python
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}")
Step 3: Parse STIX 2.1 Objects with stix2 Library
python
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})")
Step 4: Implement Custom TAXII Consumer
python
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)}")
Step 5: Set Up Local TAXII Server with Medallion
python
# 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()

Validation Criteria

  • TAXII server discovery returns valid API roots and collections
  • STIX objects fetched and parsed correctly from TAXII collections
  • Indicators extracted with valid STIX patterns
  • Pagination handled correctly for large collections
  • Consumer tracks polling state for incremental updates
  • Local TAXII server accepts and serves STIX bundles

References

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/implementing-stix-taxii-feed-integration of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

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Works with

Categories

Questions about Implementing Stix Taxii Feed Integration

What does Implementing Stix Taxii Feed Integration do?

Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and…. Implementing Stix Taxii Feed Integration is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion.

When should I use Implementing Stix Taxii Feed Integration?

Implementing Stix Taxii Feed Integration fits situations like: integrating a STIX/TAXII CTI feed into a SIEM; writing a TAXII client to poll for new indicators; setting up TAXII collections for indicator exchange.

How do I install Implementing Stix Taxii Feed Integration in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a claude-code`. Or copy the skill folder (skills/implementing-stix-taxii-feed-integration in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-stix-taxii-feed-integration in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Stix Taxii Feed Integration in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a codex`. Or copy the skill folder (skills/implementing-stix-taxii-feed-integration in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-stix-taxii-feed-integration in your project. Codex loads it when a task matches its description.

Can I use Implementing Stix Taxii Feed Integration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-stix-taxii-feed-integration, .gemini/skills/implementing-stix-taxii-feed-integration, .github/skills/implementing-stix-taxii-feed-integration and .opencode/skills/implementing-stix-taxii-feed-integration in your project.

What does Implementing Stix Taxii Feed Integration need to run?

Going by SKILL.md and its folder, Implementing Stix Taxii Feed Integration needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Implementing Stix Taxii Feed Integration access the network?

SKILL.md names 5 domains. In commands or code: cti-taxii.mitre.org; the agent is likely to contact it when it follows the instructions. As links in the text: docs.oasis-open.org, pypi.org, stix2.readthedocs.io and github.com. This is read from the text; nothing was executed.

Is Implementing Stix Taxii Feed Integration safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Stix Taxii Feed Integration use?

Implementing Stix Taxii Feed Integration is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing Stix Taxii Feed Integration use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Implementing Stix Taxii Feed Integration?

Skills that share tags, products or a category with Implementing Stix Taxii Feed Integration: Osint Investigation (johnson7788/MultiUserClaw, 327 stars), Enrich Ioc (dandye/ai-runbooks, 127 stars), Domain Intel (Tommy-yw/RunbookHermes, 546 stars) and Threat Intel Campaign (SCStelz/security-investigator, 249 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Stix Taxii Feed Integration?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.