Agent skill for producing threat models for open-source projects
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Updated
Aug 19, 2026 - Python
Agent skill for producing threat models for open-source projects
Cut vuln noise to near-zero by proving which CVEs are actually callable from your app’s entry points, using open CLIs, reproducible SBOMs, and CI-first workflows.
Decision-support tool for analyzing domain/IP infrastructure profiles and prioritizing assessment efforts.
Reproducible Bandit alert-triage benchmark with a 949-row dataset, 265-row held-out split, classifiers, leakage checks, and published results.
AIG Simulation
Read-mostly MCP server for Dependency-Track: AI-powered vulnerability triage with alias dedup, cross-project duplicate discovery, diff + carry-over between versions, and broadcast triage.
Public template repository for GitHub Copilot multi-agent workflows in industrial automation testing.
Stay ahead of security risk by streamlining vulnerability triage end to end. This n8n workflow automation ingests Snyk findings, prioritizes issues, logs details in Airtable, creates Jira tickets and notifies teams in Slack. A practical n8n workflow template for faster remediation and security visibility.
OpenAI-powered white-hat security triage CLI and GitHub Action starter kit for open-source maintainers.
Reachability-aware CVE prioritizer: tells you which vulnerabilities are actually reachable from your code, and drafts the GitHub issue for the ones that matter.
Public defensive AI security profile and sanitized research examples
Privacy-first AppSec triage PoC: deterministic CI/CD gate + local-LLM (Ollama) audit layer, fail-secure by design.
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