performing-open-source-intelligence-gathering

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-open-source-intelligence-gathering
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summary

Open Source Intelligence (OSINT) gathering is the first active phase of a red team engagement, where operators collect publicly available information about the target organization to identify attack s

skill.md
name
performing-open-source-intelligence-gathering
description
Open Source Intelligence (OSINT) gathering is the first active phase of a red team engagement, where operators collect publicly available information about the target organization to identify attack s
domain
cybersecurity
subdomain
red-teaming
tags
- red-team - adversary-simulation - mitre-attack - exploitation - post-exploitation - osint - reconnaissance
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- ID.RA-01 - GV.OV-02 - DE.AE-07

Performing Open Source Intelligence Gathering

Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Overview

Open Source Intelligence (OSINT) gathering is the first active phase of a red team engagement, where operators collect publicly available information about the target organization to identify attack surfaces, potential targets for social engineering, technology stacks, and credential exposures. Effective OSINT directly shapes initial access strategies and reduces operational risk.

When to Use

  • When conducting security assessments that involve performing open source intelligence gathering
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Familiarity with red teaming concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Objectives

  • Enumerate the target organization's external attack surface (domains, IPs, cloud assets)
  • Identify employees and their roles for social engineering targeting
  • Discover leaked credentials, API keys, and sensitive documents
  • Map the organization's technology stack and vendors
  • Identify physical locations, office layouts, and access control details
  • Build target profiles for spearphishing campaign development

Core Concepts

OSINT Categories

CategorySourcesValue
Domain IntelligenceDNS records, WHOIS, CT logs, subdomain enumerationNetwork attack surface
Personnel IntelligenceLinkedIn, social media, conference talks, publicationsSocial engineering targets
Credential IntelligenceBreach databases, paste sites, GitHub leaksValid credential discovery
Technology IntelligenceJob postings, Wappalyzer, Shodan, CensysVulnerability identification
Physical IntelligenceGoogle Maps, social media photos, GlassdoorPhysical access planning
Document IntelligenceSEC filings, public documents, metadata extractionOrganizational structure

MITRE ATT&CK Mapping

  • T1595.001 - Active Scanning: Scanning IP Blocks
  • T1595.002 - Active Scanning: Vulnerability Scanning
  • T1592 - Gather Victim Host Information
  • T1589 - Gather Victim Identity Information
  • T1590 - Gather Victim Network Information
  • T1591 - Gather Victim Org Information
  • T1593 - Search Open Websites/Domains
  • T1594 - Search Victim-Owned Websites
  • T1596 - Search Open Technical Databases

Workflow

Phase 1: Domain and Network Reconnaissance

  1. Perform WHOIS lookups for target domains
  2. Enumerate subdomains using Certificate Transparency logs, DNS brute-force, and web scraping
  3. Identify IP ranges and ASN ownership
  4. Scan for exposed services using Shodan/Censys
  5. Check for cloud storage buckets (S3, Azure Blob, GCS)
  6. Map CDN and hosting providers

Phase 2: Personnel and Social Intelligence

  1. Enumerate employees via LinkedIn, company website, and conference speaker lists
  2. Identify email naming conventions
  3. Discover personal social media accounts of key targets
  4. Map organizational hierarchy and reporting structure
  5. Identify recently hired IT/security personnel
  6. Check for conference presentations and technical publications

Phase 3: Credential and Data Leak Discovery

  1. Search breach databases (Have I Been Pwned, DeHashed)
  2. Check paste sites (Pastebin, GitHub Gists)
  3. Search GitHub/GitLab for leaked secrets and API keys
  4. Look for exposed configuration files and backups
  5. Check for leaked internal documents via Google dorking

Phase 4: Technology Stack Identification

  1. Analyze job postings for technology mentions
  2. Use Wappalyzer/BuiltWith for web technology fingerprinting
  3. Check for exposed admin panels and development environments
  4. Identify VPN and remote access technologies
  5. Map cloud services and SaaS applications

Tools and Resources

ToolPurposeType
AmassSubdomain enumeration and network mappingOpen Source
SubfinderPassive subdomain discoveryOpen Source
theHarvesterEmail, subdomain, and name harvestingOpen Source
MaltegoVisual link analysis and data correlationCommercial
SpiderFootAutomated OSINT collectionOpen Source
ShodanInternet-connected device searchCommercial
CensysInternet asset discoveryCommercial
Recon-ngWeb reconnaissance frameworkOpen Source
GitDorkerGitHub secret scanningOpen Source
PhotonWeb crawler for OSINTOpen Source

Validation Criteria

  • Complete list of target domains and subdomains
  • Employee list with roles and email addresses
  • Technology stack identified
  • Credential leak assessment completed
  • Attack surface map documented
  • OSINT report compiled for engagement team
how to use performing-open-source-intelligence-gathering

How to use performing-open-source-intelligence-gathering on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add performing-open-source-intelligence-gathering
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-open-source-intelligence-gathering

The skills CLI fetches performing-open-source-intelligence-gathering from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-open-source-intelligence-gathering

Reload or restart Cursor to activate performing-open-source-intelligence-gathering. Access the skill through slash commands (e.g., /performing-open-source-intelligence-gathering) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.536 reviews
  • Arya Bansal· Dec 28, 2024

    I recommend performing-open-source-intelligence-gathering for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yusuf Huang· Dec 16, 2024

    Solid pick for teams standardizing on skills: performing-open-source-intelligence-gathering is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Dec 8, 2024

    performing-open-source-intelligence-gathering reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 27, 2024

    I recommend performing-open-source-intelligence-gathering for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Tariq Anderson· Nov 23, 2024

    Keeps context tight: performing-open-source-intelligence-gathering is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arjun Abebe· Nov 19, 2024

    performing-open-source-intelligence-gathering reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Menon· Nov 15, 2024

    performing-open-source-intelligence-gathering is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Maya Robinson· Nov 7, 2024

    We added performing-open-source-intelligence-gathering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amina Martinez· Oct 26, 2024

    performing-open-source-intelligence-gathering fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Shikha Mishra· Oct 18, 2024

    Useful defaults in performing-open-source-intelligence-gathering — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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