analyzing-threat-intelligence-feeds
Helps your agent analyze security information to find attack indicators. It's useful for understanding threats and improving defense.
What it does
This tool helps organize and understand cybersecurity threat information. It takes data from various sources, like lists of malicious websites or IP addresses, and organizes it into a standard format so it can be used by other security systems.
When to use it
- ✓When receiving new threat lists from paid or free sources.
- ✓To organize different types of threat information into one place.
- ✓To check if threat information is reliable and relevant.
Example of what to ask your AI
“Organize threat intelligence from Recorded Future and convert it to STIX 2.1 format.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool first collects data from different threat intelligence sources. Then, it converts this data into a common format (STIX 2.1) and adds extra information to make it more useful.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-intelligence-feedsOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/analyzing-threat-intelligence-feeds/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Analyzing Threat Intelligence Feeds
When to Use
Use this skill when:
- Ingesting new commercial or OSINT threat feeds and assessing their signal-to-noise ratio
- Normalizing heterogeneous IOC formats (STIX 2.1, OpenIOC, YARA, Sigma) into a unified schema
- Evaluating feed freshness, fidelity, and relevance to the organization's threat profile
- Building automated enrichment pipelines that correlate IOCs against SIEM events
Do not use this skill for raw packet capture analysis or live incident triage without first establishing a CTI baseline.
Prerequisites
- Access to a Threat Intelligence Platform (TIP) such as ThreatConnect, MISP, or OpenCTI
- API keys for at least one commercial feed (Recorded Future, Mandiant Advantage, or VirusTotal Enterprise)
- TAXII 2.1 client library (taxii2-client Python package or equivalent)
- Role with read/write permissions to the TIP's indicator database
Workflow
Step 1: Enumerate and Prioritize Feed Sources
List all available feeds categorized by type (commercial, government, ISAC, OSINT):
- Commercial: Recorded Future, Mandiant Advantage, CrowdStrike Falcon Intelligence
- Government: CISA AIS (Automated Indicator Sharing), FBI InfraGard, MS-ISAC
- OSINT: AlienVault OTX, Abuse.ch, PhishTank, Emerging Threats
Score each feed on: update frequency, historical accuracy rate, coverage of your sector, and attribution depth. Use a weighted scoring matrix with criteria from NIST SP 800-150 (Guide to Cyber Threat Information Sharing).
Step 2: Ingest via TAXII 2.1 or API
For TAXII-enabled feeds:
taxii2-client discover https://feed.example.com/taxii/
taxii2-client get-collection --collection-id <id> --since 2024-01-01
For REST API feeds (e.g., Recorded Future):
- Query
/v2/indicator/searchwithrisk_score_min=65to filter low-confidence IOCs - Apply rate limiting and exponential backoff for API resilience
Step 3: Normalize to STIX 2.1
Convert each IOC to STIX 2.1 objects using the OASIS standard schema:
- IP address →
indicatorobject withpattern: "[ipv4-addr:value = '...']" - Domain →
indicatorwithpattern: "[domain-name:value = '...']" - File hash →
indicatorwithpattern: "[file:hashes.SHA-256 = '...']"
Attach relationship objects linking indicators to threat-actor or malware objects. Use confidence field (0–100) based on source fidelity rating.
Step 4: Deduplicate and Enrich
Run deduplication against existing TIP database using normalized value + type as composite key. Enrich surviving IOCs:
- VirusTotal: detection ratio, sandbox behavior reports
- PassiveTotal (RiskIQ): WHOIS history, passive DNS, SSL certificate chains
- Shodan: banner data, open ports, geographic location
Step 5: Distribute to Consuming Systems
Export enriched indicators via TAXII 2.1 push to SIEM (Splunk, Microsoft Sentinel), firewalls (Palo Alto XSOAR playbooks), and EDR platforms. Set TTL (time-to-live) per indicator type: IP addresses 30 days, domains 90 days, file hashes 1 year.
Key Concepts
| Term | Definition |
|---|---|
| STIX 2.1 | Structured Threat Information Expression — OASIS standard JSON schema for CTI objects including indicators, threat actors, campaigns, and relationships |
| TAXII 2.1 | Trusted Automated eXchange of Intelligence Information — HTTPS-based protocol for sharing STIX content between servers and clients |
| IOC | Indicator of Compromise — observable artifact (IP, domain, hash, URL) that indicates a system may have been breached |
| TLP | Traffic Light Protocol — color-coded classification (RED/AMBER/GREEN/WHITE) defining sharing restrictions for CTI |
| Confidence Score | Numeric value (0–100 in STIX) reflecting the producer's certainty about an indicator's malicious attribution |
| Feed Fidelity | Historical accuracy rate of a feed measured by true positive rate in production detections |
Tools & Systems
- ThreatConnect TC Exchange: Aggregates 100+ commercial and OSINT feeds; provides automated playbooks for IOC enrichment
- MISP (Malware Information Sharing Platform): Open-source TIP supporting STIX/TAXII; widely used by ISACs and government CERTs
- OpenCTI: Open-source platform with native MITRE ATT&CK integration and graph-based relationship visualization
- Recorded Future: Commercial feed with AI-powered risk scoring and real-time dark web monitoring
…
FAQ
What are 'Indicators of Compromise' (IOCs)?
These are clues like a suspicious IP address, domain name, or file that can indicate a system has been attacked.
What is STIX 2.1?
It's a standardized way to describe cybersecurity threat information, such as who is attacking, what tools they use, and which systems are targeted.
What is TAXII?
It's a protocol (a set of rules) for automatically exchanging cybersecurity threat information between systems.
Details
Original description by the author
Analyzes structured and unstructured threat intelligence feeds to extract actionable indicators, adversary tactics, and campaign context. Use when ingesting commercial or open-source CTI feeds, evaluating feed quality, normalizing data into STIX 2.1 format, or enriching existing IOCs with campaign attribution. Activates for requests involving ThreatConnect, Recorded Future, Mandiant Advantage, MIS
Popularity
- GitHub stars
- 35k
- Ranking position
- #5495
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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