[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M73EJH4EP22EXP2WPWZHWQ2V":3,"skill-same:01M73EJH4EP22EXP2WPWZHWQ2V":97},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":16,"sourceHtmlUrl":17,"categories":18,"keywords":19,"publishedAt":20,"linkOnly":21,"markdownContent":22,"markdownBody":23,"frontMatter":24,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":65,"updatedAt":66,"install":67,"resources":80},"01M73EJH4EP22EXP2WPWZHWQ2V","performing-hardware-security-module-integration",null,"Integrate Hardware Security Modules (HSMs) using PKCS#11 interface for cryptographic key management, signing operations, and secure key storage with python-pkcs11, AWS CloudHSM, and YubiHSM2.","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-hardware-security-module-integration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-hardware-security-module-integration\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: performing-hardware-security-module-integration\ndescription: Integrate Hardware Security Modules (HSMs) using PKCS#11 interface for\n  cryptographic key management, signing operations, and secure key storage with python-pkcs11,\n  AWS CloudHSM, and YubiHSM2.\ndomain: cybersecurity\nsubdomain: cryptography\ntags:\n- HSM\n- PKCS11\n- CloudHSM\n- YubiHSM2\n- key-management\n- cryptographic-operations\n- hardware-security\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_ai_rmf:\n- MEASURE-2.7\n- MAP-5.1\n- MANAGE-2.4\natlas_techniques:\n- AML.T0070\n- AML.T0066\n- AML.T0082\nnist_csf:\n- PR.DS-01\n- PR.DS-02\n- PR.DS-10\nmitre_attack:\n- T1600\n- T1573\n- T1553\n- T1078.004\n- T1530\nsource: https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\nsource_commit: 04450304b12645cb2b974ab96d28c0664758a88d\n---\n\n# Performing Hardware Security Module Integration\n\n## Overview\n\nHardware Security Modules (HSMs) provide tamper-resistant cryptographic key storage and operations. This skill covers integrating with HSMs via the PKCS#11 standard interface using python-pkcs11, performing key generation, signing, encryption, and verification operations, querying token and slot information, and validating HSM configuration for compliance with FIPS 140-2\u002F3 requirements.\n\n\n## When to Use\n\n- When conducting security assessments that involve performing hardware security module integration\n- When following incident response procedures for related security events\n- When performing scheduled security testing or auditing activities\n- When validating security controls through hands-on testing\n\n## Prerequisites\n\n- HSM device or software HSM (SoftHSM2 for testing)\n- PKCS#11 shared library (.so\u002F.dll) for the HSM vendor\n- Python 3.9+ with `python-pkcs11`\n- Token initialized with SO PIN and user PIN\n- For AWS CloudHSM: `cloudhsm-pkcs11` provider configured\n\n## Steps\n\n1. Load PKCS#11 library and enumerate available slots and tokens\n2. Open session and authenticate with user PIN\n3. Generate RSA 2048-bit or EC P-256 key pairs on the HSM\n4. Perform signing and verification using on-device keys\n5. List all objects (keys, certificates) stored on the token\n6. Query mechanism list to verify supported algorithms\n7. Generate compliance report with key inventory and algorithm audit\n\n## Expected Output\n\n- JSON report listing HSM slots, tokens, stored keys, supported mechanisms, and compliance status\n- Signing test results with key metadata and algorithm details\n","# Performing Hardware Security Module Integration\n\n## Overview\n\nHardware Security Modules (HSMs) provide tamper-resistant cryptographic key storage and operations. This skill covers integrating with HSMs via the PKCS#11 standard interface using python-pkcs11, performing key generation, signing, encryption, and verification operations, querying token and slot information, and validating HSM configuration for compliance with FIPS 140-2\u002F3 requirements.\n\n\n## When to Use\n\n- When conducting security assessments that involve performing hardware security module integration\n- When following incident response procedures for related security events\n- When performing scheduled security testing or auditing activities\n- When validating security controls through hands-on testing\n\n## Prerequisites\n\n- HSM device or software HSM (SoftHSM2 for testing)\n- PKCS#11 shared library (.so\u002F.dll) for the HSM vendor\n- Python 3.9+ with `python-pkcs11`\n- Token initialized with SO PIN and user PIN\n- For AWS CloudHSM: `cloudhsm-pkcs11` provider configured\n\n## Steps\n\n1. Load PKCS#11 library and enumerate available slots and tokens\n2. Open session and authenticate with user PIN\n3. Generate RSA 2048-bit or EC P-256 key pairs on the HSM\n4. Perform signing and verification using on-device keys\n5. List all objects (keys, certificates) stored on the token\n6. Query mechanism list to verify supported algorithms\n7. Generate compliance report with key inventory and algorithm audit\n\n## Expected Output\n\n- JSON report listing HSM slots, tokens, stored keys, supported mechanisms, and compliance status\n- Signing test results with key metadata and algorithm details\n",{"name":5,"tags":25,"author":33,"domain":34,"source":35,"license":15,"version":36,"nist_csf":37,"subdomain":41,"description":7,"nist_ai_rmf":42,"mitre_attack":46,"source_commit":52,"atlas_techniques":53},[26,27,28,29,30,31,32],"HSM","PKCS11","CloudHSM","YubiHSM2","key-management","cryptographic-operations","hardware-security","mahipal","cybersecurity","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","1.0",[38,39,40],"PR.DS-01","PR.DS-02","PR.DS-10","cryptography",[43,44,45],"MEASURE-2.7","MAP-5.1","MANAGE-2.4",[47,48,49,50,51],"T1600","T1573","T1553","T1078.004","T1530","04450304b12645cb2b974ab96d28c0664758a88d",[54,55,56],"AML.T0070","AML.T0066","AML.T0082","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa","core\u002Fskills\u002Fperforming-hardware-security-module-integration",2,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-13 13:15:29",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill performing-hardware-security-module-integration",{"tool":73,"command":74},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill performing-hardware-security-module-integration",{"tool":76,"command":77},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill performing-hardware-security-module-integration","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-hardware-security-module-integration\u002FSKILL.md",true,[81,85,91],{"path":82,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":16},"LICENSE","许可证",11255,{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fapi-reference.md","REFERENCE","参考文档",3126,"https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-hardware-security-module-integration\u002Freferences\u002Fapi-reference.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Fagent.py","SCRIPT","脚本",8962,"https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fperforming-hardware-security-module-integration\u002Fscripts\u002Fagent.py",[98,106,113,121,129,137],{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":102,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":20},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":20},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":117,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":20},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":125,"sourceHtmlUrl":126,"categories":127,"keywords":128,"publishedAt":20},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":133,"sourceHtmlUrl":134,"categories":135,"keywords":136,"publishedAt":20},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":138,"name":139,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":142,"publishedAt":20},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]