[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71G266YSSF2H82322MYZ4AD":3,"skill-same:01M71G266YSSF2H82322MYZ4AD":65},{"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":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":14,"repositoryHtmlUrl":41,"repositoryHomepageUrl":6,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":43,"updatedAt":44,"install":45,"resources":58},"01M71G266YSSF2H82322MYZ4AD","soc-tuning-falsepositivereduction",null,"| | False Positive Rate | FP \u002F (FP + TP) * 100 | \u003C 20% | | Alert Volume Reduction | (Old Volume - New Volume) \u002F Old Volume * 100 | 30-50% per quarter | | Mean Triage Time | Total triage time \u002F Total alerts | \u003C 8 minutes | | Rule Precision | TP \u002F (TP + FP) | > 0.","DCx7C5\u002Fai-marketplace","DCx7C5","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42419559?v=4","01M71C01G2AZV3NTNGWAWSHJPP","DC","01M71C01GQW6G50S2BYMS7PP3E",0,"MIT","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fsoc-tuning-falsepositivereduction\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"soc tuning falsepositivereduction","tuning","soc","alerts","volume","time","rate","new","minutes","triage","cybersecurity","rule","false","alert","2026-11-10 10:12:30",false,"---\nname: soc-tuning-falsepositivereduction\ndescription: \"| | False Positive Rate | FP \u002F (FP + TP) * 100 | \u003C 20% | | Alert Volume Reduction | (Old Volume - New Volume) \u002F Old Volume * 100 | 30-50% per quarter | | Mean Triage Time | Total triage time \u002F Total alerts | \u003C 8 minutes | | Rule Precision | TP \u002F (TP + FP) | > 0.\"\ndomain: cybersecurity\n---\n\n|\n| False Positive Rate | FP \u002F (FP + TP) * 100 | \u003C 20% |\n| Alert Volume Reduction | (Old Volume - New Volume) \u002F Old Volume * 100 | 30-50% per quarter |\n| Mean Triage Time | Total triage time \u002F Total alerts | \u003C 8 minutes |\n| Rule Precision | TP \u002F (TP + FP) | > 0.80 |\n| Analyst Satisfaction | Survey score | > 4\u002F5 |\n\n## References\n\n- [CyberSierra - Tune SIEM Alerts to Eliminate False Positives](https:\u002F\u002Fcybersierra.co\u002Fblog\u002Freduce-false-positives-siem\u002F)\n- [ConnectWise - 9 Ways to Eliminate SIEM False Positives](https:\u002F\u002Fwww.connectwise.com\u002Fblog\u002F9-ways-to-eliminate-siem-false-positives)\n- [Prophet Security - Alert Tuning Best Practices](https:\u002F\u002Fwww.prophetsecurity.ai\u002Fblog\u002Fsecurity-operations-center-soc-best-practices-alert-tuning)\n- [ManageEngine - Reducing SIEM Alert False Positives](https:\u002F\u002Fwww.manageengine.com\u002Flog-management\u002Fsiem\u002Freducing-siem-alert-false-positives.html)\n","|\n| False Positive Rate | FP \u002F (FP + TP) * 100 | \u003C 20% |\n| Alert Volume Reduction | (Old Volume - New Volume) \u002F Old Volume * 100 | 30-50% per quarter |\n| Mean Triage Time | Total triage time \u002F Total alerts | \u003C 8 minutes |\n| Rule Precision | TP \u002F (TP + FP) | > 0.80 |\n| Analyst Satisfaction | Survey score | > 4\u002F5 |\n\n## References\n\n- [CyberSierra - Tune SIEM Alerts to Eliminate False Positives](https:\u002F\u002Fcybersierra.co\u002Fblog\u002Freduce-false-positives-siem\u002F)\n- [ConnectWise - 9 Ways to Eliminate SIEM False Positives](https:\u002F\u002Fwww.connectwise.com\u002Fblog\u002F9-ways-to-eliminate-siem-false-positives)\n- [Prophet Security - Alert Tuning Best Practices](https:\u002F\u002Fwww.prophetsecurity.ai\u002Fblog\u002Fsecurity-operations-center-soc-best-practices-alert-tuning)\n- [ManageEngine - Reducing SIEM Alert False Positives](https:\u002F\u002Fwww.manageengine.com\u002Flog-management\u002Fsiem\u002Freducing-siem-alert-false-positives.html)\n",{"name":5,"domain":29,"description":7},"main","a91f1293287ffa9f4f1b8f486cd6e835a1568c84","skills\u002Fsoc-tuning-falsepositivereduction","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace","https:\u002F\u002Fgithub.com\u002FDCx7C5","#Python","2026-09-01 11:21:00",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add DCx7C5\u002Fai-marketplace --skill soc-tuning-falsepositivereduction",{"tool":51,"command":52},"bunx","bunx skills add DCx7C5\u002Fai-marketplace --skill soc-tuning-falsepositivereduction",{"tool":54,"command":55},"pnpm","pnpm dlx skills add DCx7C5\u002Fai-marketplace --skill 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subscriptions in the WMI repository.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fpersistence\u002Fdetect\u002FSKILL.md",[],[73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,29,90],"services","detect","services wmi persistence detect","wmi","persistence","de","cm","process","activescript","event","subscriptions","commandline-consumer","repository","subscription","event-subscription","t1546.003","forensics","process-forensics",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":33},"01M71HAK6JTTTS229T17WJMMCG","services-wmi-exec-exploit","Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fservices\u002Fwmi\u002Fexec\u002Fexploit\u002FSKILL.md",[],[98,73,99,76,100,101,102,29,103,104,105,106,107,108,78,109,110,111,112,113],"exploit","services wmi exec exploit","exec","remote","traffic","Bash","analysis","team","across","crackmapexec","native","command","lateral movement","read","lateral-movement","Impacket",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":33},"01M71HAG6MHKNQV8KDZKMT4886","registry-artifact-extract","Extract and analyze Windows Registry hives to uncover user activity, installed software, autostart entries, and evidence of system compromise.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fregistry\u002Fartifact\u002Fextract\u002FSKILL.md",[],[121,122,123,124,125,126,29,103,127,104,128,129,78,111,130,131,132,133,134,135],"artifact","registry","registry artifact extract","extract","evidence-collection","artifact-analysis","collection","analyze","uncover","software","activity","digital-forensics","windows-registry","regripper","sonnet",{"skillNo":137,"name":138,"nameZh":6,"description":139,"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":33},"01M71HACR4A8XTWTTSXK4124AA","processes-token-impersonate-detect","Detect Windows token impersonation and privilege abuse including SeImpersonatePrivilege exploitation via Potato attacks and token stealing techniques.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Ftoken\u002Fimpersonate\u002Fdetect\u002FSKILL.md",[],[74,143,144,145,146,147,148,79,149,29,90,150,151,152,153,154,155,156,157,78],"processes token impersonate detect","token","processes","attacks","windows","escalation","techniques","privilege-escalation","seimpersonate","token-impersonation","printspoofer","exploitation","potato","impersonation","via",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":33},"01M71HAABSB4Z6QFSXEG00R4RK","processes-thread-injection-detect","Detect Windows thread injection techniques including CreateRemoteThread, QueueUserAPC, NtCreateThreadEx, and thread hijacking via process memory analysis.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fthread\u002Finjection\u002Fdetect\u002FSKILL.md",[],[165,166,74,167,145,147,168,79,169,149,29,90,104,170,171,172,173,157,78,80],"thread","processes thread injection detect","injection","memory","process-injection","api","apc-injection","thread-injection","nt-api",{"skillNo":175,"name":176,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":180,"publishedAt":33},"01M71HA7H311V5G14WMX58HQSS","processes-hollow-technique-detect","Detect process hollowing (RunPE) by identifying processes with mismatched image paths between PEB and VAD tree, or unmapped PE headers in memory.","https:\u002F\u002Fgithub.com\u002FDCx7C5\u002Fai-marketplace\u002Fblob\u002Fmain\u002Fskills\u002Fwindows\u002Fprocesses\u002Fhollow\u002Ftechnique\u002Fdetect\u002FSKILL.md",[],[181,74,145,182,168,79,183,184,29,90,185,186,187,188,189,190,78,80,191,192],"processes hollow technique detect","tree","memory-forensics","process-hollow","peb","runpe","image","pe-header","in memory","with","mismatched","headers"]