Agent skill

Generating Threat Intelligence Reports

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical…

Apache-2.0Auto-check passedSecurity

Install Generating Threat Intelligence Reports

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill generating-threat-intelligence-reports -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills generating-threat-intelligence-reports --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/generating-threat-intelligence-reports .claude/skills/generating-threat-intelligence-reports && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
generating-threat-intelligence-reports
GitHub stars
34k
Token cost
~1.9k tokens
SKILL.md length
810 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical…

  • Works in 5 steps: Determine Report Type and Audience → Structure Report Using Intelligence… → Write Report Body → …
  • Producing finished intelligence products from raw collection data
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Generating Threat Intelligence Reports is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering OSINT, Security operations and Report writing. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Producing finished intelligence products from raw collection data
  • Creating sector threat briefings
  • Delivering post-incident intelligence assessments

Example prompts

  • “Use the generating-threat-intelligence-reports skill to generate structured cyber threat intelligence reports at strategic, operational, and…”
  • “/generating-threat-intelligence-reports”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Determine Report Type and Audience
  2. Structure Report Using Intelligence Standards
  3. Write Report Body
  4. Apply TLP and Distribution Controls
  5. Review and Quality Control

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Generating Threat Intelligence Reports loads about 1.9k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 810 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~140
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 810 words, ~1,930 tokens.

Download SKILL.mdSave it as .claude/skills/generating-threat-intelligence-reports/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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
mitre_attack
T1591, T1592, T1593, T1589

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.

Show full SKILL.md (305 more words)Show less
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

TermDefinition
Finished IntelligenceAnalyzed, contextualized intelligence product ready for consumption by decision-makers; distinct from raw collected data
Key JudgmentPrimary analytical conclusion of a report; clearly stated in opening paragraph
TLPTraffic Light Protocol — FIRST-standard classification system for controlling intelligence sharing scope
ICD 203Intelligence Community Directive 203 — US government standard for analytic standards including confidence language
Flash ReportUrgent, time-sensitive intelligence notification for imminent threats; prioritizes speed over depth
Intelligence GapArea 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.

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/generating-threat-intelligence-reports of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Generating Threat Intelligence Reports next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Generating Threat Intelligence Reports compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Generating Threat Intelligence Reports this skillmukul975/Anthropic-Cybersecurity-Skills34k—~1.9kAutomated safety check: PassApache-2.0
Threat Intelligence OSINTzhaoxuya520/reverse-skill40k1 repos~1kAutomated safety check: PassMIT
Enrich Iocdandye/ai-runbooks127—~702Automated safety check: PassApache-2.0
Secops Detection Engineeringgoogle/skills21k—~4.8kAutomated safety check: PassApache-2.0
Malware Analystaiskillstore/marketplace4306 repos~1.7kAutomated safety check: PassNone
Detection Engineering Coverage Evaluationgoogle/skills21k—~3.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Generating Threat Intelligence Reports

What does Generating Threat Intelligence Reports do?

Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical…. Generating Threat Intelligence Reports is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts.

When should I use Generating Threat Intelligence Reports?

Generating Threat Intelligence Reports fits situations like: producing finished intelligence products from raw collection data; creating sector threat briefings; delivering post-incident intelligence assessments.

How do I install Generating Threat Intelligence Reports in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill generating-threat-intelligence-reports -a claude-code`. Or copy the skill folder (skills/generating-threat-intelligence-reports in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/generating-threat-intelligence-reports in your project. Claude Code loads it when a task matches its description.

How do I install Generating Threat Intelligence Reports in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill generating-threat-intelligence-reports -a codex`. Or copy the skill folder (skills/generating-threat-intelligence-reports in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/generating-threat-intelligence-reports in your project. Codex loads it when a task matches its description.

Can I use Generating Threat Intelligence Reports in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill generating-threat-intelligence-reports -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generating-threat-intelligence-reports, .gemini/skills/generating-threat-intelligence-reports, .github/skills/generating-threat-intelligence-reports and .opencode/skills/generating-threat-intelligence-reports in your project.

What does Generating Threat Intelligence Reports need to run?

Going by SKILL.md and its folder, Generating Threat Intelligence Reports needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Generating Threat Intelligence Reports access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Generating Threat Intelligence Reports safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Generating Threat Intelligence Reports use?

Generating Threat Intelligence Reports is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Generating Threat Intelligence Reports use?

About 1.9k tokens (SKILL.md is roughly 7.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 717 tokens, read only when the agent opens those files.

What are the alternatives to Generating Threat Intelligence Reports?

Skills that share tags, products or a category with Generating Threat Intelligence Reports: Threat Intelligence OSINT (zhaoxuya520/reverse-skill, 40k stars), Enrich Ioc (dandye/ai-runbooks, 127 stars), Secops Detection Engineering (google/skills, 21k stars) and Malware Analyst (aiskillstore/marketplace, 430 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Generating Threat Intelligence Reports?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.