external/anthropic-cybersecurity-skills/skills/managing-intelligence-lifecycle/SKILL.md
Manages the end-to-end cyber threat intelligence lifecycle from planning and direction through collection, processing, analysis, dissemination, and feedback to ensure intelligence products meet stakeholder requirements and continuously improve. Use when establishing or maturing a CTI program, defining intelligence requirements with business stakeholders, or building feedback loops between intelligence consumers and producers. Activates for requests involving CTI program maturity, intelligence requirements, PIRs, or intelligence lifecycle management.
npx skillsauth add seikaikyo/dash-skills managing-intelligence-lifecycleInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when:
Do not use this skill for day-to-day IOC triage or incident-specific intelligence tasks — those use operational intelligence workflows, not lifecycle management.
Define Priority Intelligence Requirements (PIRs) with stakeholders:
Example PIR: "Is ransomware group Cl0p currently targeting organizations in our sector using MoveIT or GoAnywhere vulnerabilities?"
Map PIRs to required collection sources:
Document collection gaps and associated costs to fill them.
Implement automated processing pipeline:
Produce intelligence at three levels:
Apply structured analytic techniques: Analysis of Competing Hypotheses (ACH), Key Assumptions Check, Devil's Advocacy.
Match product format to audience:
Apply TLP classifications and distribution lists per product type.
Collect feedback within 5 business days of dissemination:
Track metrics quarterly: PIR coverage rate, IOC true positive rate, time-to-disseminate, stakeholder satisfaction score (NPS or structured survey).
| Term | Definition | |------|-----------| | PIR | Priority Intelligence Requirement — specific, actionable question driving intelligence collection and analysis | | Intelligence Lifecycle | Six-phase iterative process: Planning → Collection → Processing → Analysis → Dissemination → Feedback | | Strategic Intelligence | Long-term threat trend analysis for executive decision-making; time horizon 6–24 months | | Operational Intelligence | Campaign-level analysis for security program decisions; time horizon 1–6 months | | Tactical Intelligence | Specific IOCs and TTPs for immediate detection and blocking; time horizon hours to days | | FIRST CTI-SIG | Forum of Incident Response and Security Teams — CTI Special Interest Group maturity model |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.