performing-open-source-intelligence-gathering▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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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
| 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
| Category | Sources | Value |
|---|---|---|
| Domain Intelligence | DNS records, WHOIS, CT logs, subdomain enumeration | Network attack surface |
| Personnel Intelligence | LinkedIn, social media, conference talks, publications | Social engineering targets |
| Credential Intelligence | Breach databases, paste sites, GitHub leaks | Valid credential discovery |
| Technology Intelligence | Job postings, Wappalyzer, Shodan, Censys | Vulnerability identification |
| Physical Intelligence | Google Maps, social media photos, Glassdoor | Physical access planning |
| Document Intelligence | SEC filings, public documents, metadata extraction | Organizational 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
- Perform WHOIS lookups for target domains
- Enumerate subdomains using Certificate Transparency logs, DNS brute-force, and web scraping
- Identify IP ranges and ASN ownership
- Scan for exposed services using Shodan/Censys
- Check for cloud storage buckets (S3, Azure Blob, GCS)
- Map CDN and hosting providers
Phase 2: Personnel and Social Intelligence
- Enumerate employees via LinkedIn, company website, and conference speaker lists
- Identify email naming conventions
- Discover personal social media accounts of key targets
- Map organizational hierarchy and reporting structure
- Identify recently hired IT/security personnel
- Check for conference presentations and technical publications
Phase 3: Credential and Data Leak Discovery
- Search breach databases (Have I Been Pwned, DeHashed)
- Check paste sites (Pastebin, GitHub Gists)
- Search GitHub/GitLab for leaked secrets and API keys
- Look for exposed configuration files and backups
- Check for leaked internal documents via Google dorking
Phase 4: Technology Stack Identification
- Analyze job postings for technology mentions
- Use Wappalyzer/BuiltWith for web technology fingerprinting
- Check for exposed admin panels and development environments
- Identify VPN and remote access technologies
- Map cloud services and SaaS applications
Tools and Resources
| Tool | Purpose | Type |
|---|---|---|
| Amass | Subdomain enumeration and network mapping | Open Source |
| Subfinder | Passive subdomain discovery | Open Source |
| theHarvester | Email, subdomain, and name harvesting | Open Source |
| Maltego | Visual link analysis and data correlation | Commercial |
| SpiderFoot | Automated OSINT collection | Open Source |
| Shodan | Internet-connected device search | Commercial |
| Censys | Internet asset discovery | Commercial |
| Recon-ng | Web reconnaissance framework | Open Source |
| GitDorker | GitHub secret scanning | Open Source |
| Photon | Web crawler for OSINT | Open 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches performing-open-source-intelligence-gathering from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★36 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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