generating-threat-intelligence-reports▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments. Activates for requests involving CTI report writing, threat briefings, intelligence products, finished intelligence, or executive security reporting.
| name | generating-threat-intelligence-reports |
| description | 'Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments. Activates for requests involving CTI report writing, threat briefings, intelligence products, finished intelligence, or executive security reporting. ' |
| domain | cybersecurity |
| subdomain | threat-intelligence |
| tags | - CTI - threat-intelligence - intelligence-products - TLP - PIR - report-writing - NIST-CSF |
| version | 1.0.0 |
| author | team-cybersecurity |
| license | Apache-2.0 |
| nist_csf | - ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02 |
Generating Threat Intelligence Reports
When to Use
Use this skill when:
- Producing weekly, monthly, or quarterly threat intelligence summaries for security leadership
- Creating a rapid intelligence assessment in response to a breaking threat (e.g., new zero-day, active ransomware campaign)
- Generating sector-specific threat briefings for executive decision-making on security investments
Do not use this skill for raw IOC distribution — use TIP/MISP for automated IOC sharing and reserve report generation for analyzed, finished intelligence.
Prerequisites
- Completed analysis from collection and processing phase (PIRs partially or fully answered)
- Audience profile: technical level, decision-making authority, information classification clearance
- TLP classification decision for the product
- Organization-specific reporting template aligned to audience expectations
Workflow
Step 1: Determine Report Type and Audience
Select the appropriate intelligence product type:
Strategic Intelligence Report: For C-suite, board, risk committee
- Content: Threat landscape trends, adversary intent vs. capability, risk to business objectives
- Format: 1–3 pages, minimal jargon, business impact language, recommended decisions
- Frequency: Monthly/Quarterly
Operational Intelligence Report: For CISO, security directors, IR leads
- Content: Active campaigns, adversary TTPs, defensive recommendations, sector peer incidents
- Format: 3–8 pages, moderate technical detail, mitigation priority list
- Frequency: Weekly
Tactical Intelligence Bulletin: For SOC analysts, threat hunters, vulnerability management
- Content: Specific IOCs, YARA rules, Sigma detections, CVEs, patching guidance
- Format: Structured tables, code blocks, 1–2 pages
- Frequency: Daily or as-needed
Flash Report: Urgent notification for imminent or active threats
- Content: What is happening, immediate risk, what to do right now
- Format: 1 page maximum, distributed within 2 hours of threat identification
- Frequency: As-needed (zero-day, active campaign targeting sector)
Step 2: Structure Report Using Intelligence Standards
Apply intelligence writing standards from government and professional practice:
Headline/Key Judgment: Lead with the most important finding in plain language.
- Bad: "This report examines threat actor TTPs associated with Cl0p ransomware"
- Good: "Cl0p ransomware group is actively exploiting CVE-2024-20353 in Cisco ASA devices to gain initial access; organizations using unpatched ASA appliances face imminent ransomware risk"
Confidence Qualifiers (use language from DNI ICD 203):
- High confidence: "assess with high confidence" — strong evidence, few assumptions
- Medium confidence: "assess" — credible sources but analytical assumptions required
- Low confidence: "suggests" — limited sources, significant uncertainty
Evidence Attribution: Cite sources using reference numbers [1], [2]; maintain source anonymization in TLP:AMBER/RED products.
Step 3: Write Report Body
Use structured format:
Executive Summary (3–5 bullet points): Key findings, immediate business risk, top recommended action
Threat Overview: Who is the adversary? What is their objective? Why does this matter to us?
Technical Analysis: TTPs with ATT&CK technique IDs, IOCs, observed campaign behavior
Impact Assessment: Potential operational, financial, reputational impact if attack succeeds
Recommended Actions: Prioritized, time-bound defensive measures with owner assignment
Appendices: Full IOC lists, YARA rules, Sigma detections, raw source references
Step 4: Apply TLP and Distribution Controls
Select TLP based on source sensitivity and sharing agreements:
- TLP:RED: Named recipients only; cannot be shared outside briefing room
- TLP:AMBER+STRICT: Organization only; no sharing with subsidiaries or partners
- TLP:AMBER: Organization and trusted partners with need-to-know
- TLP:GREEN: Community-wide sharing (ISAC members, sector peers)
- TLP:WHITE/CLEAR: Public distribution; no restrictions
Include TLP watermark on every page header and footer.
Step 5: Review and Quality Control
Before dissemination, apply these checks:
- Accuracy: Are all facts sourced and cited? No unsubstantiated claims.
- Clarity: Can the target audience understand this without additional context?
- Actionability: Does every report section drive a decision or action?
- Classification: Is TLP correctly applied? No source identification in AMBER/RED products?
- Timeliness: Is this intelligence still current? Events older than 48 hours require freshness assessment.
Key Concepts
| Term | Definition |
|---|---|
| Finished Intelligence | Analyzed, contextualized intelligence product ready for consumption by decision-makers; distinct from raw collected data |
| Key Judgment | Primary analytical conclusion of a report; clearly stated in opening paragraph |
| TLP | Traffic Light Protocol — FIRST-standard classification system for controlling intelligence sharing scope |
| ICD 203 | Intelligence Community Directive 203 — US government standard for analytic standards including confidence language |
| Flash Report | Urgent, time-sensitive intelligence notification for imminent threats; prioritizes speed over depth |
| Intelligence Gap | Area where collection is insufficient to answer a PIR; should be explicitly documented in reports |
Tools & Systems
- ThreatConnect Reports: Built-in report templates with ATT&CK mapping, IOC tables, and stakeholder distribution controls
- Recorded Future: Pre-built intelligence report templates with automated sourcing from proprietary datasets
- OpenCTI Reports: STIX-based report objects with linked entities for structured finished intelligence
- Microsoft Word/Confluence: Common report delivery formats; use organization-approved templates with TLP headers
Common Pitfalls
- Writing for analysts instead of the audience: Technical detail appropriate for SOC analysts overwhelms executives. Maintain strict audience segmentation.
- Omitting confidence levels: Statements presented without confidence qualifiers appear as established facts when they may be low-confidence assessments.
- Intelligence without recommendations: Reports that describe threats without prescribing actions leave stakeholders without direction.
- Stale intelligence: Publishing a report on a threat campaign that was resolved 2 weeks ago creates alarm without utility. Include freshness dating on all claims.
- Over-classification: Applying TLP:RED to information that could be TLP:GREEN impedes community sharing and limits defensive value across the sector.
How to use generating-threat-intelligence-reports on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add generating-threat-intelligence-reports
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches generating-threat-intelligence-reports from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate generating-threat-intelligence-reports. Access the skill through slash commands (e.g., /generating-threat-intelligence-reports) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★26 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Useful defaults in generating-threat-intelligence-reports — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Anderson· Dec 24, 2024
I recommend generating-threat-intelligence-reports for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Rahul Santra· Nov 19, 2024
generating-threat-intelligence-reports is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Emma Bansal· Nov 15, 2024
Keeps context tight: generating-threat-intelligence-reports is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Pratham Ware· Oct 10, 2024
Keeps context tight: generating-threat-intelligence-reports is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hassan Johnson· Oct 6, 2024
generating-threat-intelligence-reports is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Sep 1, 2024
We added generating-threat-intelligence-reports from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ren Wang· Sep 1, 2024
I recommend generating-threat-intelligence-reports for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Aug 20, 2024
generating-threat-intelligence-reports fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sakura Ndlovu· Aug 20, 2024
Useful defaults in generating-threat-intelligence-reports — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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