external/anthropic-cybersecurity-skills/skills/configuring-hsm-for-key-storage/SKILL.md
Configures Hardware Security Modules for cryptographic key storage using the PKCS#11 standard interface, covering key generation, signing, encryption, and key management on physical HSMs and SoftHSM2 for development. Use when protecting cryptographic keys so they never leave a hardened device boundary, or when building and testing PKCS#11-based key management workflows.
npx skillsauth add seikaikyo/dash-skills configuring-hsm-for-key-storageInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Hardware Security Modules (HSMs) are tamper-resistant physical devices that safeguard cryptographic keys and perform cryptographic operations in a hardened environment. Keys stored in an HSM never leave the device boundary, providing the highest level of key protection. This skill covers configuring HSMs using the PKCS#11 standard interface, including key generation, signing, encryption, and key management using both physical HSMs and SoftHSM2 for development.
| FIPS Level | Protection | Use Case | |-----------|-----------|----------| | FIPS 140-2 Level 1 | Software only | Development | | FIPS 140-2 Level 2 | Tamper-evident, role-based auth | General production | | FIPS 140-2 Level 3 | Tamper-resistant, identity-based auth | Financial, government | | FIPS 140-2 Level 4 | Physical tamper response | Military, classified |
Application --> PKCS#11 API --> HSM Provider --> Hardware HSM
|
(SoftHSM2 for dev)
| Object Type | Description | Operations | |-------------|-------------|-----------| | CKO_SECRET_KEY | Symmetric keys (AES) | Encrypt, Decrypt, Wrap | | CKO_PUBLIC_KEY | Public keys (RSA, EC) | Verify, Encrypt, Wrap | | CKO_PRIVATE_KEY | Private keys (RSA, EC) | Sign, Decrypt, Unwrap | | CKO_CERTIFICATE | X.509 certificates | Storage, retrieval |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.