performing-privileged-account-discovery
Discover and inventory all privileged accounts across enterprise infrastructure including domain admins, local admins, service accounts, database admins, cloud IAM roles, and application admin account
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Installation Guide
How to use performing-privileged-account-discovery 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
performing-privileged-account-discovery
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches performing-privileged-account-discovery from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate performing-privileged-account-discovery. Access via /performing-privileged-account-discovery in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
| name | performing-privileged-account-discovery |
| description | Discover and inventory all privileged accounts across enterprise infrastructure including domain admins, local admins, service accounts, database admins, cloud IAM roles, and application admin account |
| domain | cybersecurity |
| subdomain | identity-access-management |
| tags | - iam - identity - access-control - privileged-access - discovery - inventory |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.AA-01 - PR.AA-02 - PR.AA-05 - PR.AA-06 |
Performing Privileged Account Discovery
Overview
Discover and inventory all privileged accounts across enterprise infrastructure including domain admins, local admins, service accounts, database admins, cloud IAM roles, and application admin accounts. Covers automated scanning, risk classification, and onboarding to PAM.
When to Use
- When conducting security assessments that involve performing privileged account discovery
- 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 identity access management 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
- Implement comprehensive performing privileged account discovery capability
- Establish automated discovery and monitoring processes
- Integrate with enterprise IAM and security tools
- Generate compliance-ready documentation and reports
- Align with NIST 800-53 access control requirements
Security Controls
| Control | NIST 800-53 | Description |
|---|---|---|
| Account Management | AC-2 | Lifecycle management |
| Access Enforcement | AC-3 | Policy-based access control |
| Least Privilege | AC-6 | Minimum necessary permissions |
| Audit Logging | AU-3 | Authentication and access events |
| Identification | IA-2 | User and service identification |
Verification
- Implementation tested in non-production environment
- Security policies configured and enforced
- Audit logging enabled and forwarding to SIEM
- Documentation and runbooks complete
- Compliance evidence generated
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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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
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Reviews
- LLucas Kim★★★★★Dec 28, 2024
performing-privileged-account-discovery fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- SSofia Thompson★★★★★Dec 24, 2024
Registry listing for performing-privileged-account-discovery matched our evaluation — installs cleanly and behaves as described in the markdown.
- CChaitanya Patil★★★★★Dec 8, 2024
performing-privileged-account-discovery has been reliable in day-to-day use. Documentation quality is above average for community skills.
- IIsabella Rahman★★★★★Dec 4, 2024
Solid pick for teams standardizing on skills: performing-privileged-account-discovery is focused, and the summary matches what you get after install.
- PPiyush G★★★★★Nov 27, 2024
Keeps context tight: performing-privileged-account-discovery is the kind of skill you can hand to a new teammate without a long onboarding doc.
- XXiao Smith★★★★★Nov 19, 2024
We added performing-privileged-account-discovery from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- DDiego Reddy★★★★★Nov 19, 2024
Solid pick for teams standardizing on skills: performing-privileged-account-discovery is focused, and the summary matches what you get after install.
- JJin Nasser★★★★★Nov 15, 2024
performing-privileged-account-discovery reduced setup friction for our internal harness; good balance of opinion and flexibility.
- IIsabella Ramirez★★★★★Nov 15, 2024
I recommend performing-privileged-account-discovery for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- SShikha Mishra★★★★★Oct 18, 2024
We added performing-privileged-account-discovery from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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