Unified LLM-agent skill for code review covering both security (CWE) and privacy (GDPR) through one detector-validator methodology. Ships the SKILL.md, a 128-case Python benchmark across 30 canonical categories with a held-out true-negative subset, and the evaluation harness from the SecPriv paper.
secpriv-skill is a Claude Code agent skill that unified LLM-agent skill for code review covering both security (CWE) and privacy (GDPR) through one detector-validator methodology. Ships the SKILL.md, a 128-case Python benchmark across 30 canonical categories with a held-out true-negative subset, and the evaluation harness from the SecPriv paper.
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Unified LLM-agent skill for code review covering both security (CWE) and privacy (GDPR) through one detector-validator methodology. Ships the SKILL.md, a 128-case Python benchmark across 30 canonical categories with a held-out true-negative subset, and the evaluation harness from the SecPriv paper.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
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Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.