performing-supply-chain-attack-simulation
Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit.
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Installation Guide
How to use performing-supply-chain-attack-simulation on Cursor
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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-supply-chain-attack-simulation
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches performing-supply-chain-attack-simulation 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-supply-chain-attack-simulation. Access via /performing-supply-chain-attack-simulation 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-supply-chain-attack-simulation |
| description | Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit. |
| domain | cybersecurity |
| subdomain | application-security |
| tags | - supply-chain - typosquatting - dependency-confusion - package-verification - pip-audit - PyPI - software-composition-analysis |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.PS-01 - PR.PS-04 - ID.RA-01 - PR.DS-10 |
Performing Supply Chain Attack Simulation
Overview
Software supply chain attacks exploit trust in package registries through typosquatting (registering names similar to popular packages), dependency confusion (publishing higher-version public packages matching private names), and compromised package distribution. This skill detects these attack vectors by computing Levenshtein distance between package names and popular PyPI packages, verifying package integrity via SHA-256 hash comparison, scanning for known CVEs with pip-audit, and testing dependency resolution order for confusion vulnerabilities.
When to Use
- When conducting security assessments that involve performing supply chain attack simulation
- 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
- Python 3.9+ with
pip-audit,Levenshtein,requests - Access to PyPI JSON API (https://pypi.org/pypi/{package}/json)
- Network access for package metadata retrieval
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.
Key Detection Areas
- Typosquatting — compare package names against top PyPI packages using edit distance thresholds
- Dependency confusion — check if internal package names exist on public PyPI with higher version numbers
- Hash verification — download packages and verify SHA-256 digests match published hashes
- Vulnerability scanning — audit installed packages against OSV and PyPA advisory databases
- Metadata anomalies — flag packages with suspicious author emails, missing homepages, or very recent first upload dates
Output
JSON report with risk scores per package, detected attack vectors, hash verification results, and CVE findings.
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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
- GGanesh Mohane★★★★★Dec 24, 2024
Solid pick for teams standardizing on skills: performing-supply-chain-attack-simulation is focused, and the summary matches what you get after install.
- LLayla Smith★★★★★Dec 12, 2024
Registry listing for performing-supply-chain-attack-simulation matched our evaluation — installs cleanly and behaves as described in the markdown.
- SShikha Mishra★★★★★Dec 4, 2024
performing-supply-chain-attack-simulation reduced setup friction for our internal harness; good balance of opinion and flexibility.
- HHenry Kapoor★★★★★Nov 19, 2024
performing-supply-chain-attack-simulation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- SSakshi Patil★★★★★Nov 15, 2024
We added performing-supply-chain-attack-simulation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- IIsabella Rahman★★★★★Oct 26, 2024
Useful defaults in performing-supply-chain-attack-simulation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- NNikhil Kapoor★★★★★Oct 10, 2024
We added performing-supply-chain-attack-simulation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- CChaitanya Patil★★★★★Oct 6, 2024
performing-supply-chain-attack-simulation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- RRahul Santra★★★★★Sep 25, 2024
I recommend performing-supply-chain-attack-simulation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- IIsabella Sanchez★★★★★Sep 17, 2024
Solid pick for teams standardizing on skills: performing-supply-chain-attack-simulation is focused, and the summary matches what you get after install.
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