Skill ディレクトリ
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
Claude Skills for Governance, Risk, & Compliance (GRC): Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, EU AI Act, ISO 42001, ISO 27701, DORA, CSRD, India's DPDPA, CMMC 2.0, NIST AI Risk, SWIFT, Australia's ISM, EU NIS2, and CCPA/CPRA. Benchmark 97% (with skills) vs 81% (without skills).
Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
Black-box, open-source red-team testing for AI agents. Point Argus at any HTTP, gRPC, or browser-using agent endpoint, run 500+ adversarial probes (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, TAP/PAIR/GCG), get LLM-judged findings as SARIF, gate CI via GitHub Code Scanning. Ships with CLI + GH Action.
Run individual controls or full compliance benchmarks for CIS, PCI, NIST, HIPAA and more across all of your AWS accounts using Powerpipe and Steampipe.
Agent-portable Compliance Trestle and OSCAL skills for converting legacy SSPs, validating compliance, and supporting FedRAMP workflows across multiple AI agent runtimes.
This reference implementation is based on Cloud Adoption Framework for Azure and provides an opinionated implementation that enables ITSG-33 regulatory compliance by using NIST SP 800-53 Rev. 4 and Canada Federal PBMM Regulatory Compliance Policy Sets.
16-dimension security posture assessment with adaptive activation, health scoring, and remediation plan. Covers application security, infrastructure, auth, crypto, privacy, supply chain, and more. Use when assessing security posture, auditing code for vulnerabilities, reviewing compliance, or preparing for security reviews.
17-dimension observability audit with tier activation, health scoring, and cost analysis. Covers logging, metrics, tracing, alerting, SLOs, profiling, security observability, and developer experience. Use when assessing observability posture, identifying telemetry gaps, or optimizing observability costs.
Deep research and analysis workflow for codebases, technologies, domains, ideas, or data. Produces structured documentation with analytical frameworks, confidence-graded findings, and cited sources. Use when evaluating technologies, investigating domains, assessing feasibility, or analyzing codebases in depth.
I developed a rigorous cybersecurity project portfolio on mock clients covering NIST, audits, Linux, SQL, assets, threats, vulnerabilities, detection, incident response, escalation, Wireshark, tcpdump, IDS (Suricata), SIEM (Splunk, Chronicle), and Python automation.
Skill ディレクトリ
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
Claude Skills for Governance, Risk, & Compliance (GRC): Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, EU AI Act, ISO 42001, ISO 27701, DORA, CSRD, India's DPDPA, CMMC 2.0, NIST AI Risk, SWIFT, Australia's ISM, EU NIS2, and CCPA/CPRA. Benchmark 97% (with skills) vs 81% (without skills).
Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
Black-box, open-source red-team testing for AI agents. Point Argus at any HTTP, gRPC, or browser-using agent endpoint, run 500+ adversarial probes (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, TAP/PAIR/GCG), get LLM-judged findings as SARIF, gate CI via GitHub Code Scanning. Ships with CLI + GH Action.
Run individual controls or full compliance benchmarks for CIS, PCI, NIST, HIPAA and more across all of your AWS accounts using Powerpipe and Steampipe.
Agent-portable Compliance Trestle and OSCAL skills for converting legacy SSPs, validating compliance, and supporting FedRAMP workflows across multiple AI agent runtimes.
This reference implementation is based on Cloud Adoption Framework for Azure and provides an opinionated implementation that enables ITSG-33 regulatory compliance by using NIST SP 800-53 Rev. 4 and Canada Federal PBMM Regulatory Compliance Policy Sets.
16-dimension security posture assessment with adaptive activation, health scoring, and remediation plan. Covers application security, infrastructure, auth, crypto, privacy, supply chain, and more. Use when assessing security posture, auditing code for vulnerabilities, reviewing compliance, or preparing for security reviews.
17-dimension observability audit with tier activation, health scoring, and cost analysis. Covers logging, metrics, tracing, alerting, SLOs, profiling, security observability, and developer experience. Use when assessing observability posture, identifying telemetry gaps, or optimizing observability costs.
Deep research and analysis workflow for codebases, technologies, domains, ideas, or data. Produces structured documentation with analytical frameworks, confidence-graded findings, and cited sources. Use when evaluating technologies, investigating domains, assessing feasibility, or analyzing codebases in depth.
I developed a rigorous cybersecurity project portfolio on mock clients covering NIST, audits, Linux, SQL, assets, threats, vulnerabilities, detection, incident response, escalation, Wireshark, tcpdump, IDS (Suricata), SIEM (Splunk, Chronicle), and Python automation.
Skill ディレクトリ
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
Claude Skills for Governance, Risk, & Compliance (GRC): Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, EU AI Act, ISO 42001, ISO 27701, DORA, CSRD, India's DPDPA, CMMC 2.0, NIST AI Risk, SWIFT, Australia's ISM, EU NIS2, and CCPA/CPRA. Benchmark 97% (with skills) vs 81% (without skills).
Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
Black-box, open-source red-team testing for AI agents. Point Argus at any HTTP, gRPC, or browser-using agent endpoint, run 500+ adversarial probes (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, TAP/PAIR/GCG), get LLM-judged findings as SARIF, gate CI via GitHub Code Scanning. Ships with CLI + GH Action.
Run individual controls or full compliance benchmarks for CIS, PCI, NIST, HIPAA and more across all of your AWS accounts using Powerpipe and Steampipe.
Agent-portable Compliance Trestle and OSCAL skills for converting legacy SSPs, validating compliance, and supporting FedRAMP workflows across multiple AI agent runtimes.
This reference implementation is based on Cloud Adoption Framework for Azure and provides an opinionated implementation that enables ITSG-33 regulatory compliance by using NIST SP 800-53 Rev. 4 and Canada Federal PBMM Regulatory Compliance Policy Sets.
16-dimension security posture assessment with adaptive activation, health scoring, and remediation plan. Covers application security, infrastructure, auth, crypto, privacy, supply chain, and more. Use when assessing security posture, auditing code for vulnerabilities, reviewing compliance, or preparing for security reviews.
17-dimension observability audit with tier activation, health scoring, and cost analysis. Covers logging, metrics, tracing, alerting, SLOs, profiling, security observability, and developer experience. Use when assessing observability posture, identifying telemetry gaps, or optimizing observability costs.
Deep research and analysis workflow for codebases, technologies, domains, ideas, or data. Produces structured documentation with analytical frameworks, confidence-graded findings, and cited sources. Use when evaluating technologies, investigating domains, assessing feasibility, or analyzing codebases in depth.
I developed a rigorous cybersecurity project portfolio on mock clients covering NIST, audits, Linux, SQL, assets, threats, vulnerabilities, detection, incident response, escalation, Wireshark, tcpdump, IDS (Suricata), SIEM (Splunk, Chronicle), and Python automation.
Skill ディレクトリ
すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。
Claude Skills for Governance, Risk, & Compliance (GRC): Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, EU AI Act, ISO 42001, ISO 27701, DORA, CSRD, India's DPDPA, CMMC 2.0, NIST AI Risk, SWIFT, Australia's ISM, EU NIS2, and CCPA/CPRA. Benchmark 97% (with skills) vs 81% (without skills).
Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR
Black-box, open-source red-team testing for AI agents. Point Argus at any HTTP, gRPC, or browser-using agent endpoint, run 500+ adversarial probes (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, TAP/PAIR/GCG), get LLM-judged findings as SARIF, gate CI via GitHub Code Scanning. Ships with CLI + GH Action.
Run individual controls or full compliance benchmarks for CIS, PCI, NIST, HIPAA and more across all of your AWS accounts using Powerpipe and Steampipe.
Agent-portable Compliance Trestle and OSCAL skills for converting legacy SSPs, validating compliance, and supporting FedRAMP workflows across multiple AI agent runtimes.
This reference implementation is based on Cloud Adoption Framework for Azure and provides an opinionated implementation that enables ITSG-33 regulatory compliance by using NIST SP 800-53 Rev. 4 and Canada Federal PBMM Regulatory Compliance Policy Sets.
16-dimension security posture assessment with adaptive activation, health scoring, and remediation plan. Covers application security, infrastructure, auth, crypto, privacy, supply chain, and more. Use when assessing security posture, auditing code for vulnerabilities, reviewing compliance, or preparing for security reviews.
17-dimension observability audit with tier activation, health scoring, and cost analysis. Covers logging, metrics, tracing, alerting, SLOs, profiling, security observability, and developer experience. Use when assessing observability posture, identifying telemetry gaps, or optimizing observability costs.
Deep research and analysis workflow for codebases, technologies, domains, ideas, or data. Produces structured documentation with analytical frameworks, confidence-graded findings, and cited sources. Use when evaluating technologies, investigating domains, assessing feasibility, or analyzing codebases in depth.
I developed a rigorous cybersecurity project portfolio on mock clients covering NIST, audits, Linux, SQL, assets, threats, vulnerabilities, detection, incident response, escalation, Wireshark, tcpdump, IDS (Suricata), SIEM (Splunk, Chronicle), and Python automation.