Build ultra-granular context maps before vulnerability scans
A structured analysis format for AI assistants that runs before vulnerability hunting, enabling ultra-granular function-level context extraction.
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Why it matters
Prepare comprehensive, structured analysis of code functions and components in a standardized format that feeds into downstream vulnerability-hunting workflows, ensuring security audits operate on complete contextual understanding.
Outcomes
What it gets done
Parse and document function-level micro-analysis in structured format
Extract granular context about code architecture and dependencies
Generate pure context documentation before security testing begins
Feed structured analysis into vulnerability detection pipelines
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-audit-context-building | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
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Overview
Deep Context Builder Skill (Ultra-Granular Pure Context Mode)
This skill defines a structured analysis format that runs before vulnerability-hunting phases in security workflows. It enables ultra-granular, function-level context extraction through a systematic function micro-analysis approach, creating pure context documentation for downstream audit processes. Use this skill when you need to build comprehensive, function-level context before performing vulnerability analysis in complex codebases. It is designed as a preparatory step that feeds structured context into subsequent security auditing workflows.
What it does
The Deep Context Builder Skill defines a structured analysis format that runs before the vulnerability-hunting phase. It enables AI assistants to perform ultra-granular, function-level context extraction by establishing a systematic approach to code analysis. The skill creates pure context documentation that feeds into subsequent security auditing workflows.
When to use - and when NOT to
Use this skill when you need to build comprehensive context before performing vulnerability analysis, especially when working with complex codebases that require function-level granularity. It is designed to run as a preparatory step in security audit workflows.
Do not use this skill if you need immediate vulnerability detection without the context-building phase, or if your workflow does not include a separate vulnerability-hunting stage that depends on pre-built context.
Inputs and outputs
Users provide code or systems that require structured analysis. The skill outputs a function micro-analysis format that captures ultra-granular context, which then serves as input for downstream vulnerability-hunting processes.
Who it's for
This skill is built for security auditors and AI assistants performing code analysis who need systematic, function-level context before vulnerability detection. It differs from direct vulnerability scanners by separating the context-building phase from the hunting phase, enabling more thorough and structured security assessments.
Source README
This skill defines a structured analysis format (see Example: Function Micro-Analysis below) and runs before the vulnerability-hunting phase.
FAQ
Common questions
Discussion
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