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security-verifiers
security-verifiers contains 6 collected skills from intertwine, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Run and analyze Security Verifiers evaluations. Use when asked to evaluate models on E1 (network-logs) or E2 (config-verification), generate metrics reports, compare model performance, or analyze eval results.
Generate SV-Bench metrics reports (summary.json + report.md) for E1/E2 runs, validate metrics contracts, and produce comparison-friendly artifacts from outputs/evals/.
Deploy Security Verifiers environments and packages. Use when asked to deploy to Prime Intellect Environments Hub, publish to PyPI, bump versions, build wheels, or manage releases.
Build and manage Security Verifiers datasets. Use when asked to build E1 or E2 datasets, create test fixtures, validate data, or manage dataset files for network-logs or config-verification environments.
Development workflow for Security Verifiers. Use when asked to run tests, lint code, format files, set up the development environment, or perform CI checks on the codebase.
Manage HuggingFace datasets for Security Verifiers. Use when asked to push datasets to HuggingFace, manage metadata, configure gated access, or set up user HF repositories for E1/E2 datasets.