HU

hunt-blueprint-generation

Synthesizes research, focus, data sources, and analytics into a formal hunt blueprint. It organizes existing artifacts without adding new research.

Install

mkdir -p .claude/skills/hunt-blueprint-generation && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4584" && unzip -o skill.zip -d .claude/skills/hunt-blueprint-generation && rm skill.zip

Installs to .claude/skills/hunt-blueprint-generation

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Assemble a complete hunt blueprint by consolidating outputs from prior hunt planning skills into a single, structured plan for execution. Use this skill after system and tradecraft research, hunt focus definition, data source identification, and analytics generation have been completed. This skill is synthesis and packaging only and must not introduce new research, assumptions, or analytics.
394 charsno explicit “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Synthesizes planning artifacts
  • Normalizes blueprint structure
  • Consolidates hunt research and findings
  • Organizes data sources and analytics

How it works

Aggregates pre-existing planning documents into a pre-defined schema without adding external research.

Inputs & outputs

You give it
Individual planning artifacts
You get back
Unified hunt blueprint

When to use hunt-blueprint-generation

  • Formatting a hunt plan after research
  • Organizing candidate data sources
  • Consolidating hypothesis and tradecraft findings

About this skill

Generate Hunt Blueprint

This skill produces a single, structured hunt blueprint that captures the full hunt planning trajectory in an execution-ready format.

It is executed after the following have been completed:

  • System internals and adversary tradecraft research
  • Hunt focus definition (structured hypothesis)
  • Candidate data source identification
  • Analytics generation

This skill is assembly and synthesis only. It preserves and organizes outputs from prior steps without adding new research, new evidence, or new analytic logic.

Workflow

  • You MUST complete each step in order and MUST NOT proceed until the current step is complete.
  • You MUST NOT read reference documents unless the current step explicitly instructs you to do so.
  • You MUST NOT perform new web searches or introduce new research.
  • You MUST NOT generate new analytics, detections, thresholds, or validation logic.
  • You MUST only use planning artifacts produced by prior skills.

Step 1: Normalize Blueprint Inputs

Confirm that all required inputs are available to assemble the hunt blueprint.

Use available planning artifacts, which may include:

  • Research summary (system internals and adversary tradecraft)
  • Candidate abuse patterns
  • Structured hunt hypothesis
  • Candidate data source summary
  • Analytics summary and per-analytic details

If any critical planning artifact is missing, request it before proceeding.

Do NOT read reference documents during this step.

This step is complete when all required inputs are available.

Step 2: Assemble Blueprint Content

Populate the hunt blueprint using the section structure and ordering defined in references/hunt-blueprint-template.md.

  • Preserve wording and intent from prior artifacts where possible.
  • Summarize only to reduce redundancy and improve readability.
  • Ensure consistency across:
    • Hunt hypothesis and research context
    • Research context and analytics intent
    • Candidate data sources and schema grounding
  • Explicitly capture assumptions, gaps, and planning notes.

Do NOT introduce new material or reinterpret prior outputs.

This step is complete when all blueprint sections are populated according to the template.

Step 3: Refine Blueprint Content (In-Memory)

Refine the assembled blueprint for clarity and readability without writing it to disk yet.

Focus on editorial improvements only:

  • Improve wording for clarity and conciseness
  • Normalize terminology across hypothesis, research, data sources, and analytics
  • Ensure behavioral models are expressed using clear, graph-like statements
    (entity → relationship → entity)
  • Improve table readability and layout where needed

You MAY:

  • Rephrase sentences for clarity
  • Improve behavioral model descriptions
  • Adjust Markdown structure for readability

You MUST NOT:

  • Add or remove sections
  • Change analytic intent or behavioral logic
  • Introduce new research, assumptions, or analytics
  • Write the blueprint to disk

This step is complete when the blueprint reads clearly and consistently.

Step 4: Validate and Write Blueprint

Validate the refined blueprint and correct issues before writing the final file.

Confirm that:

  • The hunt hypothesis aligns with research context and the selected attack pattern
  • Candidate data sources plausibly support the modeled behaviors
  • Each analytic consistently connects:
    • Analytic intent
    • Data sources
    • Entities and behavioral model
    • Schema grounding
    • SQL-like query-style representation
  • Behavioral models are readable and graph-like
  • Markdown renders correctly with no formatting or encoding issues
  • Assumptions and gaps are planning-level only

You MAY:

  • Fix Markdown rendering issues (broken tables, malformed lists, encoding artifacts)
  • Correct structural violations of the template

You MUST NOT:

  • Reword content for clarity
  • Change analytic reasoning or behavior models
  • Introduce new research, assumptions, analytics, or execution logic

Once validated, write the blueprint to a Markdown file named after the hunt using lowercase words separated by underscores
(for example, windows_registry_persistence_hunt.md).

This step is complete when the blueprint is written and ready for execution.

When not to use it

  • During the research or detection generation phase
  • If planning artifacts are incomplete

Prerequisites

Completed research and hypothesis documents

Limitations

  • Strict order of operations
  • Cannot generate new analytic logic
  • Requires completed prerequisite inputs

How it compares

It acts as an assembly tool that preserves context while ensuring the plan is ready for execution.

Compared to similar skills

hunt-blueprint-generation side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
hunt-blueprint-generation (this skill)17moNo flagsIntermediate
agent-security-manager36moNo flagsAdvanced
security-auditor54moNo flagsAdvanced
cosmos-vulnerability-scanner32moNo flagsAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

hunt-analytics-generation

OTRF

Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best when informed by system internals, adversary tradecraft, a structured hunt focus, and suggested data sources.

12

hunt-data-source-identification

OTRF

Identify relevant security data sources that could capture the behavior defined in a structured hunt hypothesis. Use this skill after the hunt focus has been defined to translate investigative intent into candidate telemetry sources using existing platform catalogs. This skill supports hunt planning by reasoning over available schemas and metadata before analytics development or query execution.

14

hunt-focus-definition

OTRF

Define a focused hunt hypothesis by synthesizing completed system internals and adversary tradecraft research. Use this skill after research has been completed to narrow a high-level hunt topic into a single, concrete attack pattern with clear investigative intent. This skill produces a structured, testable hypothesis and should be used before selecting data sources, defining environment scope, or developing analytics.

13

hunt-research-system-and-tradecraft

OTRF

Research system internals and adversary tradecraft to ground a threat hunt in real system behavior and realistic abuse patterns. Use this skill at the start of hunt planning, when you are given a high-level hunt topic but lack a clear understanding of how the system normally operates or how adversaries are known to abuse it. This skill informs early hunt direction by producing candidate abuse patterns, key assumptions, and cited sources, and should be used before defining a concrete hunt hypothesis or selecting data sources.

13

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