Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Incident Response & Digital Forensics
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Incident Response & Digital Forensics
Best first install candidate based on install readiness and adoption.
Freshest repo
Incident Response & Digital Forensics
Most recent maintenance signal among this shortlist.
| Signal | Incident Response & Digital Forensics IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology |
|---|---|
| Quality | 77/100 Strong |
| Decision verdict | 76/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 397 stars Verified outcomes are shown on each skill page |
| Freshness | Sep 3, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | evidence_collector.py truncates at ~400 lines, likely incomplete implementation · No OpenAgentSkill engagement data yet |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
Incident Response & Digital Forensics
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
Incident Response & Digital Forensics
Best first install candidate based on install readiness and adoption.
Freshest repo
Incident Response & Digital Forensics
Most recent maintenance signal among this shortlist.
| Signal | Incident Response & Digital Forensics IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology |
|---|---|
| Quality | 77/100 Strong |
| Decision verdict | 76/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 397 stars Verified outcomes are shown on each skill page |
| Freshness | Sep 3, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | evidence_collector.py truncates at ~400 lines, likely incomplete implementation · No OpenAgentSkill engagement data yet |
| Best for | Workflow automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics |
| Best for | Workflow automation workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics |