{"slug":"masriyan-incident-response-digital-forensics","name":"Incident Response & Digital Forensics","description":"IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology","long_description":"---\nname: Incident Response & Digital Forensics\ndescription: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology\nversion: 3.0.0\nauthor: Masriyan\ntags: [cybersecurity, incident-response, forensics, dfir, evidence, timeline, picerl, nist]\n---\n\n# Incident Response & Digital Forensics\n\n## Purpose\n\nEnable Claude to assist with structured incident response operations following NIST SP 800-61 and the SANS PICERL framework. Claude generates IR playbooks, guides evidence collection with chain of custody, constructs forensic timelines, interprets memory forensics output, and produces post-incident reports.\n\n---\n\n## Activation Triggers\n\nThis skill activates when the user asks about:\n- Creating an incident response playbook (ransomware, phishing, breach, etc.)\n- Evidence collection and chain of custody procedures\n- Forensic timeline construction from logs or artifacts\n- Memory forensics using Volatility\n- Post-incident report generation\n- DFIR (Digital Forensics and Incident Response) procedures\n- Containment and eradication strategies\n- Root cause analysis for security incidents\n- IR metrics, SLA tracking, or reporting for management\n\n---\n\n## Prerequisites\n\n```bash\npip install pyyaml jinja2 pandas python-dateutil\n```\n\n**Recommended DFIR tools:**\n- `Volatility 3` — Memory forensics framework\n- `Autopsy / Sleuth Kit` — Disk forensics\n- `plaso / log2timeline` — Supertimeline generation\n- `KAPE` — Evidence collection (Windows)\n- `Velociraptor` — Enterprise-scale endpoint forensics\n- `FTK Imager` — Forensic imaging (Windows)\n- `dd / dcfldd / dc3dd` — Disk imaging (Linux)\n\n---\n\n## PICERL Framework Overview\n\nEvery IR engagement follows the PICERL lifecycle:\n\n| Phase | Key Actions | Skill Outputs |\n|-------|------------|---------------|\n| **P**reparation | Verify tools, comms, access | Readiness checklist |\n| **I**dentification | Confirm incident, scope, severity | Incident classification |\n| **C**ontainment | Isolate systems, stop spread | Containment actions list |\n| **E**radication | Remove threat, close access | Eradication checklist |\n| **R**ecovery | Restore systems, verify integrity | Recovery runbook |\n| **L**essons Learned | Post-incident review | IR report + improvements |\n\n---\n\n## Core Capabilities\n\n### 1. IR Playbook Creation\n\n**When the user asks to create a playbook for a specific incident type:**\n\nClaude generates detailed, role-assigned playbooks in this structure:\n\n**Ransomware Response Playbook (Example):**\n\n```markdown\n# IR Playbook: Ransomware Attack\nVersion: 2.0 | Owner: SOC Manager | Review: Quarterly\n\n## Trigger Conditions\n- Multiple encrypted files discovered (ransom extension detected)\n- Ransom note found on file shares or desktop\n- EDR alert for mass file modification activity\n- User reports files inaccessible with unfamiliar extensions\n\n## Severity Classification\n- CRITICAL: Domain controller / backup infrastructure affected\n- HIGH: Production servers / business-critical data affected\n- MEDIUM: Isolated workstation, contained environment\n\n---\n\n## Phase 1: Identification (Target: 15 minutes)\n**IR Lead:**\n- [ ] Confirm incident is ransomware (verify encrypted files + ransom note)\n- [ ] Determine initial infection vector (phishing? RDP? Supply chain?)\n- [ ] Identify Patient Zero — first encrypted system\n- [ ] Assess scope: How many systems? Which business units?\n- [ ] Declare incident severity and notify stakeholders\n- [ ] Open incident ticket and begin documentation\n\n**Forensics:**\n- [ ] DO NOT REBOOT infected systems (preserve volatile evidence)\n- [ ] Capture memory dump: `winpmem_mini_x64_rc2.exe output.raw`\n- [ ] Collect running processes: `tasklist /v > processes.txt`\n- [ ] Collect network connections: `netstat -ano > netstat.txt`\n\n## Phase 2: Containment (Target: 30 minutes)\n**Network Team:**\n- [ ] Isolate affected systems (pull network cable or quarantine in VLAN)\n- [ ] Block identified C2 IPs/domains at perimeter firewall\n- [ ] Disable RDP externally if RDP was the initial vector\n- [ ] Preserve network capture if encryption is still occurring\n\n**Active Directory:**\n- [ ] Identify all accounts used by the ransomware (service accounts, domain accounts)\n- [ ] Reset passwords for all potentially compromised accounts\n- [ ] Revoke active sessions for affected accounts\n- [ ] Check for newly created privileged accounts\n\n## Phase 3: Eradication\n- [ ] Identify all persistence mechanisms (registry, services, scheduled tasks)\n- [ ] Remove all malicious artifacts\n- [ ] Verify no backdoors remain (check with Autoruns, process scanning)\n- [ ] Patch the exploited vulnerability if one was used\n\n## Phase 4: Recovery\n- [ ] Restore from clean backup (verified pre-infection)\n- [ ] Validate backup integrity before restoration\n- [ ] Rebuild from gold image if backup compromised\n- [ ] Verify data integrity after restoration\n- [ ] Phased return to production\n\n## Phase 5: Lessons Learned (Within 2 weeks)\n- [ ] Full incident timeline documented\n- [ ] Root cause identified and remediated\n- [ ] Detection gaps addressed\n- [ ] CSOC playbook updated\n- [ ] Management report delivered\n```\n\n**Other supported playbook types:**\n- Phishing Campaign Response\n- Data Breach / Exfiltration\n- Business Email Compromise (BEC)\n- Insider Threat\n- DDoS Attack\n- Account Compromise / Credential Stuffing\n- Supply Chain Compromise\n- Cloud Misconfiguration / Breach\n\n### 2. Evidence Collection & Chain of Custody\n\n**When the user asks to collect forensic evidence:**\n\n**Order of Volatility (most volatile → least volatile):**\n```\n1. CPU registers and cache\n2. Routing tables, ARP cache, process table\n3. Memory (RAM) — ALWAYS capture first\n4. Temporary file systems, swap space\n5. Running processes and open files\n6. Network connections and open ports\n7. Disk images\n8. Log files (local + remote SIEM)\n9. Physical media\n```\n\n**Evidence Collection Commands:**\n\n```bash\n# Windows — Live acquisition\nwinpmem_mini_x64_rc2.exe memory.raw              # Memory dump\ntasklist /svc > processes.txt                     # Running processes\nnetstat -ano > connections.txt                    # Network connections\nwmic process get caption,processid,parentprocessid,commandline > process_full.txt\nreg export HKLM reg_hklm.reg                     # Registry\ndir /s /a \"C:\\Users\\*\\AppData\\Roaming\\*\" > appdata.txt\n\n# Linux — Live acquisition\nsudo avml /tmp/memory.lime                        # Memory dump (avml)\nps auxf > processes.txt                           # Process tree\nnetstat -tulnap > connections.txt                 # Network connections\ncat /proc/*/cmdline | strings > process_cmdlines.txt\nls -la /tmp/ /var/tmp/ /dev/shm/ > temp_dirs.txt\ncrontab -l -u root > crontabs.txt\nfind / -mtime -7 -type f > recently_modified.txt  # Modified in last 7 days\n```\n\n**Chain of Custody Template:**\n```markdown\n## Evidence Chain of Custody Form\n\n| Field | Value |\n|-------|-------|\n| Evidence ID | IR-2025-001-E01 |\n| Incident ID | IR-2025-001 |\n| Description | Memory dump from HOSTNAME (192.168.1.100) |\n| Collected by | [Analyst Name] |\n| Collection time | 2025-05-28 14:30 UTC |\n| Collection method | winpmem_mini_x64_rc2.exe |\n| MD5 hash | [hash of evidence file] |\n| SHA256 hash | [hash of evidence file] |\n| Storage location | \\nas\\ir\\IR-2025-001\\evidence\\ |\n| Chain of custody | Analyst → Evidence Locker → Lab |\n\n**Access Log:**\n| Date/Time | Person | Purpose | Signature |\n|-----------|--------|---------|-----------|\n| 2025-05-28 14:30 | [Analyst] | Initial collection | [Sig] |\n```\n\n### 3. Forensic Timeline Analysis\n\n**When the user asks to build an incident timeline:**\n\n1. **Collect timestamps from all available sources:**\n   - Windows Event Logs (Security, System, Application, PowerShell)\n   - Web server access logs\n   - Firewall / proxy logs\n   - Email server logs (delivery, read receipts)\n   - File system timestamps (Modified, Accessed, Changed, Born)\n   - Registry LastWrite timestamps\n   - Prefetch timestamps (evidence of execution)\n\n2. **Normalize to UTC** — Confirm system timezone before conversion\n\n3. **Generate supertimeline:**\n   ```bash\n   python scripts/timeline_builder.py --logs ./collected_logs/ --output timeline.csv\n   python scripts/timeline_builder.py --logs ./logs/ --format html --start \"2025-05-20\" --end \"2025-05-28\"\n   ```\n\n4. **Identify the kill chain progression:**\n\n```markdown\n## Incident Timeline — [Incident ID]\n\n[T-72h] 2025-05-25 09:15 UTC — DELIVERY\n  Phishing email received: \"Invoice_May2025.pdf.exe\" from spoofed sender\n  Mail log: SMTP delivery to user@victim.com from 185.x.x.x\n\n[T-48h] 2025-05-26 14:22 UTC — EXECUTION\n  User executed attachment: Event 4688 (process creation)\n  Parent: outlook.exe → Child: powershell.exe -enc [base64]\n\n[T-48h] 2025-05-26 14:22 UTC — C2 ESTABLISHED\n  Outbound connection: 203.x.x.x:443 (beacon_interval: 60s)\n  DNS query: malicious-c2.evil.com → 203.x.x.x\n\n[T-24h] 2025-05-27 02:00 UTC — LATERAL MOVEMENT\n  PsExec from WORKSTATION01 to SERVER02 (admin$)\n  Event 4624 (login type 3) on SERVER02 from WORKSTATION01\n\n[T-2h]  2025-05-27 12:30 UTC — DATA EXFILTRATION\n  Large POST request (450MB) to dropbox-like service\n\n[T-0h]  2025-05-28 14:00 UTC — DETECTION\n  SOC analyst detected anomalous outbound transfer\n```\n\n### 4. Memory Forensics\n\n**When the user shares Volatility output or asks about memory forensics:**\n\n**Essential Volatility 3 Commands:**\n```bash\n# Process listing\npython vol.py -f memory.raw windows.pslist\npython vol.py -f memory.raw windows.pstree           # Show parent-child\npython vol.py -f memory.raw windows.psscan           # Find hidden processes\n\n# Network connections\npython vol.py -f memory.raw windows.netscan\npython vol.py -f memory.raw windows.netstat\n\n# DLL and module analysis\npython vol.py -f memory.raw windows.dlllist --pid [PID]\npython vol.py -f memory.raw windows.modscan          # All loaded modules\n\n# Malware detection\npython vol.py -f memory.raw windows.malfind           # Injected code\npython vol.py -f memory.raw windows.hollowfind        # Process hollowing\n\n# Registry from memory\npython vol.py -f memory.raw windows.registry.hivelist\npython vol.py -f memory.raw windows.registry.printkey --key \"SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Run\"\n\n# File artifacts\npython vol.py -f memory.raw windows.filescan\npython vol.py -f memory.raw windows.dumpfiles --physaddr [addr]\n```\n\n**Suspicious Memory Indicators:**\n- Process without corresponding disk file (process hollowing)\n- `explorer.exe` or `svchost.exe` with unusual parent\n- Network connections from system processes (lsass.exe, csrss.exe)\n- Executable memory regions flagged by `windows.malfind`\n- Stacked THREADS in injected shellcode regions\n\n### 5. Post-Incident Report\n\n**When the user asks for an IR report for management or compliance:**\n\n```markdown\n# Post-Incident Report — [Incident ID]\n\n**Classification:** CONFIDENTIAL\n**Incident Type:** [Ransomware / Data Breach / etc.]\n**Severity:** [Critical / High / Medium]\n**Incident Window:** [Start] to [End] UTC\n**Systems Affected:** [Count and names]\n**Data Impact:** [Data at risk / confirmed exfiltrated]\n**Report Date:** [Date]\n**Report Author:** [IR Lead]\n\n---\n\n## 1. Executive Summary\n[3-4 sentences: what happened, how it happened, impact, and current status]\n\n## 2. Incident Timeline\n[Key events table with timestamps]\n\n## 3. Root Cause Analysis\n**Initial Vector:** [Phishing / Unpatched service / Credential theft / etc.]\n**Root Cause:** [Specific technical cause]\n**Contributing Factors:**\n- [Factor 1: e.g., no MFA on VPN]\n- [Factor 2: e.g., delayed patch deployment]\n\n## 4. Impact Assessment\n- **Systems Compromised:** [List]\n- **Data Accessed/Exfiltrated:** [Description + quantity]\n- **Business Impact:** [Downtime hours, revenue impact, regulatory]\n- **Customer/Partner Impact:** [If applicable]\n\n## 5. Containment & Remediation Actions\n[Chronological list of actions taken]\n\n## 6. Compliance Notification Requirements\n- **GDPR:** [Required if EU personal data — 72-hour ","tagline":"IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology","category":"automation","tags":["cybersecurity","incident-response","forensics","dfir","evidence","timeline","picerl","nist","agent-skill"],"author":"Masriyan","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"Masriyan/Claude-Code-CyberSecurity-Skill","creatorName":"Masriyan","creatorUrl":"https://github.com/Masriyan","sourceUrl":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":397,"forks":75,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":45.45},"quality":{"score":77,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"397","tone":"neutral"},{"label":"Freshness","value":"2d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation"]},"trust":{"version":"trust-score-v5","score":57,"base_score":65,"outcome_confidence":0,"tier":"risk","label":"Do not auto-install","summary":"Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.","recommendedAction":"Choose a stronger alternative or inspect the source manually before any install attempt.","decision":{"install_policy":"sandbox_only","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["57/100 Trust Score v5","65/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"397 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":62,"weight":0.08,"status":"info","detail":"397 stars, 75 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":44,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":22,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"397 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"397 stars, 75 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; 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issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":44,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":22,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"397 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"397 stars, 75 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"397 GitHub stars","repoActivity":"397 stars, 75 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","install":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"sandbox_only"},"installReadiness":{"ready":true,"command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","policy":"sandbox_only","label":"Sandbox only","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"sandbox_only","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["automation","cybersecurity","incident-response","forensics","dfir","evidence"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","trust_score":57,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Live brokerage, exchange, wallet, or payment credentials outside an explicitly approved sandbox"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["automation","cybersecurity","incident-response","forensics","dfir","evidence"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Live brokerage, exchange, wallet, or payment credentials outside an explicitly approved sandbox"],"knownRisks":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":65,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v4":{"version":"trust-score-v4","score":65,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"397 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":62,"weight":0.08,"status":"info","detail":"397 stars, 75 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":44,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":22,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"397 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"397 stars, 75 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"evidence":{"stars":"397 GitHub stars","repoActivity":"397 stars, 75 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","install":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","policy":"sandbox_only","label":"Sandbox only","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"sandbox_only","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["automation","cybersecurity","incident-response","forensics","dfir","evidence"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Live brokerage, exchange, wallet, or payment credentials outside an explicitly approved sandbox"],"knownRisks":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":29,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Audit risk exceeds the requested agent policy","Audit classified this skill as risky","Metadata combines secrets access with shell or command execution","Audit risk risky exceeds max_risk=medium"]},"auto_install_allowed":false,"human_review_required":true,"blocked":true,"audit_risk":"risky","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","auto_install_policy":"block","auto_install_allowed":false,"blocked":true,"human_review_required":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","reasons":["Audit risk exceeds the requested agent policy","Audit classified this skill as risky","Metadata combines secrets access with shell or command execution","Audit risk risky exceeds max_risk=medium"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":66,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Audit score: Risky","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Audit score: Risky","Agent safety gate: This skill should not be selected by an agent without explicit human security review.","Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","timeline_builder.py also appears truncated, missing full implementation","SKILL.md mentions 'Frameworks' metadata field but none are declared in frontmatter","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate Incident Response & Digital Forensics before installing it in an agent workflow","automation","Workflow automation workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics"]},{"id":"trust_score","label":"Trust score","status":"warn","score":65,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","397 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"fail","score":77,"required_for_auto_install":true,"detail":"Risky","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":29,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Audit risk exceeds the requested agent policy"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":94,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"2d since push","evidence":["2d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":22,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Browser automation: medium","Network access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics/evals","api":"/api/agent/evals?slug=masriyan-incident-response-digital-forensics","text":"/api/agent/evals?slug=masriyan-incident-response-digital-forensics&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"masriyan-incident-response-digital-forensics","name":"Incident Response & Digital Forensics","description":"IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology","category":"automation","url":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","github_repo":"Masriyan/Claude-Code-CyberSecurity-Skill"},"suited_tasks":["Workflow automation workflows","Claude Code teams","builders willing to evaluate younger projects","Move data between tools","Transform files","Trigger repeatable actions","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add masriyan-incident-response-digital-forensics"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Incident Response & Digital Forensics\" agent skill from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Incident Response & Digital Forensics\" as a Claude Code skill from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Incident Response & Digital Forensics\" from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/masriyan-incident-response-digital-forensics/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/masriyan-incident-response-digital-forensics"},"trust":{"score":65,"label":"Manual review","version":"trust-score-v4","install_policy":"sandbox_only","evidence":{"stars":"397 GitHub stars","repoActivity":"397 stars, 75 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","install":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["automation","cybersecurity","incident-response","forensics","dfir","evidence"],"known_risks":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":77,"risk_level":"risky","risk_label":"Risky","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","timeline_builder.py also appears truncated, missing full implementation","SKILL.md mentions 'Frameworks' metadata field but none are declared in frontmatter","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":77,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d since push","risk":"Risky"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","No OpenAgentSkill engagement data yet","Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing"],"agent_contract":{"task_input":"Use Incident Response & Digital Forensics in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 65/100 Manual review","Audit: 77/100 Risky","Safety: 29/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"masriyan-incident-response-digital-forensics (Incident Response & Digital Forensics)","install_command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","risk_summary":"Risky; Blocked for auto-install; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"masriyan-incident-response-digital-forensics","task":"Use Incident Response & Digital Forensics in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics","api":"https://www.openagentskill.com/api/agent/skills/masriyan-incident-response-digital-forensics","audit":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=masriyan-incident-response-digital-forensics&task=Use%20Incident%20Response%20%26%20Digital%20Forensics%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Incident%20Response%20%26%20Digital%20Forensics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Incident%20Response%20%26%20Digital%20Forensics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/masriyan-incident-response-digital-forensics/install","manifest":"https://www.openagentskill.com/api/registry/manifest/masriyan-incident-response-digital-forensics"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"masriyan-incident-response-digital-forensics","name":"Incident Response & Digital Forensics","description":"IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology","category":"automation","url":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","github_repo":"Masriyan/Claude-Code-CyberSecurity-Skill"},"suited_tasks":["Workflow automation workflows","Claude Code teams","builders willing to evaluate younger projects","Move data between tools","Transform files","Trigger repeatable actions","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add masriyan-incident-response-digital-forensics"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"Incident Response & Digital Forensics\" agent skill from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"Incident Response & Digital Forensics\" as a Claude Code skill from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"Incident Response & Digital Forensics\" from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/masriyan-incident-response-digital-forensics/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/masriyan-incident-response-digital-forensics"},"trust":{"score":65,"label":"Manual review","version":"trust-score-v4","install_policy":"sandbox_only","evidence":{"stars":"397 GitHub stars","repoActivity":"397 stars, 75 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","install":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["automation","cybersecurity","incident-response","forensics","dfir","evidence"],"known_risks":["evidence_collector.py truncates at ~400 lines, likely incomplete implementation","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":77,"risk_level":"risky","risk_label":"Risky","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","timeline_builder.py also appears truncated, missing full implementation","SKILL.md mentions 'Frameworks' metadata field but none are declared in frontmatter","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":77,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d since push","risk":"Risky"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","No OpenAgentSkill engagement data yet","Audit risk risky exceeds max_risk=medium","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing"],"agent_contract":{"task_input":"Use Incident Response & Digital Forensics in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 65/100 Manual review","Audit: 77/100 Risky","Safety: 29/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"masriyan-incident-response-digital-forensics (Incident Response & Digital Forensics)","install_command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","risk_summary":"Risky; Blocked for auto-install; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"masriyan-incident-response-digital-forensics","task":"Use Incident Response & Digital Forensics in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics","api":"https://www.openagentskill.com/api/agent/skills/masriyan-incident-response-digital-forensics","audit":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=masriyan-incident-response-digital-forensics&task=Use%20Incident%20Response%20%26%20Digital%20Forensics%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Incident%20Response%20%26%20Digital%20Forensics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Incident%20Response%20%26%20Digital%20Forensics%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/masriyan-incident-response-digital-forensics/install","manifest":"https://www.openagentskill.com/api/registry/manifest/masriyan-incident-response-digital-forensics"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"local-desktop","title":"Local desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":397,"starsLabel":"397","forks":75,"license":"MIT","qualityScore":77,"trustScore":65,"auditScore":77},"maintenance":{"status":"fresh","label":"2d since push","daysSincePush":2,"lastPushedAt":"2026-09-03T08:31:38+00:00"},"risk":{"level":"risky","label":"Risky","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","timeline_builder.py also appears truncated, missing full implementation"]},"coverageTags":["Research","RAG and knowledge","automation","cybersecurity","incident-response","forensics","dfir","evidence"]},"audit":{"audit_score":77,"risk_level":"risky","risk_label":"Risky","quality_score":77,"trust_score":65,"maintenance_score":100,"security_score":71,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required","evidence_collector.py truncates at ~400 lines, likely incomplete implementation","timeline_builder.py also appears truncated, missing full implementation","SKILL.md mentions 'Frameworks' metadata field but none are declared in frontmatter","This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":18.2,"usage_score":0,"review_score":5.25,"metadata_score":7,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"}],"install":"npx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill Incident Response & Digital Forensics","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add masriyan-incident-response-digital-forensics","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Incident Response & Digital Forensics\" agent skill from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Incident Response & Digital Forensics\" as a Claude Code skill from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Incident Response & Digital Forensics\" from https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: IR playbook execution, evidence collection, forensic timeline analysis, memory forensics, and post-incident reporting following NIST SP 800-61 and SANS PICERL methodology After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"masriyan-incident-response-digital-forensics\",\"task\":\"Install Incident Response & Digital Forensics\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","github_repo":"Masriyan/Claude-Code-CyberSecurity-Skill","version":"3.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/masriyan-incident-response-digital-forensics","repository":"https://github.com/Masriyan/Claude-Code-CyberSecurity-Skill/tree/main/skills/07-incident-response","api":"/api/agent/skills/masriyan-incident-response-digital-forensics","install_api":"/api/skills/masriyan-incident-response-digital-forensics/install"},"meta":{"created_at":"2026-09-05T18:26:46.633973+00:00","updated_at":"2026-09-05T18:26:46.850663+00:00","agent_friendly":true}}