building-threat-intelligence-feed-integration

building-threat-intelligence-feed-integration is a skill for Claude Code, Codex from autohandai/community-skills. It costs 74 tokens per session (2,874 once invoked), scanned A, a copy of building-threat-intelligence-feed-integration, Apache-2.0.

A guide to automatically collecting threat intelligence from sources such as STIX/TAXII feeds, open-source projects, and commercial services, then sending it to security tools.

In plain words
What is it for?
It helps build pipelines that normalize, deduplicate, and match suspicious IPs, domains, hashes, and URLs in SIEM and endpoint data.
Why use it?
It removes repeated manual feed downloads, format conversion, and indicator matching across different systems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps build pipelines that normalize, deduplicate, and match suspicious IPs, domains, hashes, and URLs in SIEM and endpoint data.

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

Made for: Claude Code, Codex.

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/autohandai/community-skills/building-threat-intelligence-feed-integration/github.svg)](https://agentmods.dev/skills/autohandai/community-skills/building-threat-intelligence-feed-integration)
Your own site
<a href="https://agentmods.dev/skills/autohandai/community-skills/building-threat-intelligence-feed-integration"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/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/autohandai/community-skills/building-threat-intelligence-feed-integration"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/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 2,874 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.
Origin 97% copy Near-identical to another mod 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 $0.02874
Opus 5 $0.00037 $0.01437
Sonnet 5 $0.00015 $0.00575
Haiku 4.5 $0.00007 $0.00287

Measured 9d ago against content hash c10cca8f8608, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 9d 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

This is a copy

97% identical to building-threat-intelligence-feed-integration — 36 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

building-threat-intelligence-feed-integration/SKILL.md · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 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 · 323 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. 9d ago First seen · 323 lines · 74 tokens per session scan A c10cca8f8608

Subscribe to this mod's changes

building-threat-intelligence-feed-integration is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 74 tokens to every session and 2,874 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to building-threat-intelligence-feed-integration, differing in 36 lines, and is treated as a copy.

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