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Deep Context Builder

Free

Enhance code audits with detailed, line-by-line analysis.

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What Deep Context Builder does

The Deep Context Builder skill is designed to facilitate a comprehensive understanding of codebases during the auditing process. By enabling ultra-granular, line-by-line analysis, this skill allows developers and security auditors to build a robust architectural context before diving into vulnerability detection. It emphasizes a bottom-up approach, ensuring that every function and logical block is scrutinized in detail, which is crucial for identifying potential issues that may not be evident through high-level overviews.

When activated, Claude employs techniques such as First Principles, 5 Whys, and 5 Hows to dissect code at a micro level. This structured analysis not only helps in uncovering assumptions and invariants but also aids in linking insights across functions and modules, creating a persistent mental model that evolves with new evidence. The skill is particularly beneficial for those who prioritize accuracy and depth in their audits, as it minimizes the risk of overlooking critical details that could lead to vulnerabilities or bugs.

The skill is ideal for security professionals, software architects, and developers who are preparing for security audits, architecture reviews, or threat modeling. It is a valuable tool when deep comprehension is essential, especially in complex systems where high-level assumptions can lead to serious oversights. However, it should not be used for direct vulnerability findings or fix recommendations, as its primary focus is on understanding rather than concluding.

In summary, the Deep Context Builder skill equips users with the necessary framework to conduct thorough code analysis, ensuring a solid foundation for any subsequent vulnerability assessments. By fostering a meticulous approach to understanding code, it enhances the overall quality of software audits and contributes to more secure software development practices.

When to use it

Use this skill when you need a deep understanding of code before vulnerability discovery, especially in complex systems.

When not to use it

Do not use this skill for direct vulnerability findings or fix recommendations, as it focuses solely on context building.

What you can build with it

Preparing for a Security Audit

Use the skill to build a comprehensive understanding of the codebase before conducting a security audit.

Conducting Architecture Reviews

Employ the skill to analyze system architecture in detail, ensuring all components are understood thoroughly.

Threat Modeling Sessions

Utilize this skill to identify potential risks by deeply analyzing code interactions and assumptions.

How to install Deep Context Builder

View source

1. Install with the skills CLI

npx skills add sickn33/agentic-awesome-skills/audit-context-building --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by sickn33

Deep Context Builder Skill (Ultra-Granular Pure Context Mode)

1. Purpose

This skill governs how Claude thinks during the context-building phase of an audit.

When active, Claude will:

  • Perform line-by-line / block-by-block code analysis by default.
  • Apply First Principles, 5 Whys, and 5 Hows at micro scale.
  • Continuously link insights → functions → modules → entire system.
  • Maintain a stable, explicit mental model that evolves with new evidence.
  • Identify invariants, assumptions, flows, and reasoning hazards.

This skill defines a structured analysis format (see Example: Function Micro-Analysis below) and runs before the vulnerability-hunting phase.


When to Use

Use when:

  • Deep comprehension is needed before bug or vulnerability discovery.
  • You want bottom-up understanding instead of high-level guessing.
  • Reducing hallucinations, contradictions, and context loss is critical.
  • Preparing for security auditing, architecture review, or threat modeling.

Do not use for:

  • Vulnerability findings
  • Fix recommendations
  • Exploit reasoning
  • Severity/impact rating

2. How This Skill Behaves

When active, Claude will:

  • Default to ultra-granular analysis of each block and line.
  • Apply micro-level First Principles, 5 Whys, and 5 Hows.
  • Build and refine a persistent global mental model.
  • Update earlier assumptions when contradicted ("Earlier I thought X; now Y.").
  • Periodically anchor summaries to maintain stable context.
  • Avoid speculation; express uncertainty explicitly when needed.

Goal: deep, accurate understanding, not conclusions.


Rationalizations (Do Not Skip)

RationalizationWhy It's WrongRequired Action
"I get the gist"Gist-level understanding misses edge casesLine-by-line analysis required
"This function is simple"Simple functions compose into complex bugsApply 5 Whys anyway
"I'll remember this invariant"You won't. Context degrades.Write it down explicitly
"External call is probably fine"External = adversarial until proven otherwiseJump into code or model as hostile
"I can skip this helper"Helpers contain assumptions that propagateTrace the full call chain
"This is taking too long"Rushed context = hallucinated vulnerabilities laterSlow is fast

3. Phase 1 — Initial Orientation (Bottom-Up Scan)

Before deep analysis, Claude performs a minimal mapping:

  1. Identify major modules/files/contracts.
  2. Note obvious public/external entrypoints.
  3. Identify likely actors (users, owners, relayers, oracles, other contracts).
  4. Identify important storage variables, dicts, state structs, or cells.
  5. Build a preliminary structure without assuming behavior.

This establishes anchors for detailed analysis.


4. Phase 2 — Ultra-Granular Function Analysis (Default Mode)

Every non-trivial function receives full micro analysis.

5.1 Per-Function Microstructure Checklist

For each function:

  1. Purpose

    • Why the function exists and its role in the system.
  2. Inputs & Assumptions

    • Parameters and implicit inputs (state, sender, env).
    • Preconditions and constraints.
  3. Outputs & Effects

    • Return values.
    • State/storage writes.
    • Events/messages.
    • External interactions.
  4. Block-by-Block / Line-by-Line Analysis For each logical block:

    • What it does.
    • Why it appears here (ordering logic).
    • What assumptions it relies on.
    • What invariants it establishes or maintains.
    • What later logic depends on it.

    Apply per-block:

    • First Principles
    • 5 Whys
    • 5 Hows

5.2 Cross-Function & External Flow Analysis

(Full Integration of Jump-Into-External-Code Rule)

When encountering calls, continue the same micro-first analysis across boundaries.

Internal Calls

  • Jump into the callee immediately.
  • Perform block-by-block analysis of relevant code.
  • Track flow of data, assumptions, and invariants: caller → callee → return → caller.
  • Note if callee logic behaves differently in this specific call context.

External Calls — Two Cases

Case A — External Call to a Contract Whose Code Exists in the Codebase Treat as an internal call:

  • Jump into the target contract/function.
  • Continue block-by-block micro-analysis.
  • Propagate invariants and assumptions seamlessly.
  • Consider edge cases based on the actual code, not a black-box guess.

Case B — External Call Without Available Code (True External / Black Box) Analyze as adversarial:

  • Describe payload/value/gas or parameters sent.
  • Identify assumptions about the target.
  • Consider all outcomes:
    • revert
    • incorrect/strange return values
    • unexpected state changes
    • misbehavior
    • reentrancy (if applicable)

Continuity Rule

Treat the entire call chain as one continuous execution flow. Never reset context. All invariants, assumptions, and data dependencies must propagate across calls.


5.3 Complete Analysis Example

See FUNCTION_MICRO_ANALYSIS_EXAMPLE.md for a complete walkthrough demonstrating:

  • Full micro-analysis of a DEX swap function
  • Application of First Principles, 5 Whys, and 5 Hows
  • Block-by-block analysis with invariants and assumptions
  • Cross-function dependency mapping
  • Risk analysis for external interactions

This example demonstrates the level of depth and structure required for all analyzed functions.


5.4 Output Requirements

When performing ultra-granular analysis, Claude MUST structure output following the format defined in OUTPUT_REQUIREMENTS.md.

Key requirements:

  • Purpose (2-3 sentences minimum)
  • Inputs & Assumptions (all parameters, preconditions, trust assumptions)
  • Outputs & Effects (returns, state writes, external calls, events, postconditions)
  • Block-by-Block Analysis (What, Why here, Assumptions, First Principles/5 Whys/5 Hows)
  • Cross-Function Dependencies (internal calls, external calls with risk analysis, shared state)

Quality thresholds:

  • Minimum 3 invariants per function
  • Minimum 5 assumptions documented
  • Minimum 3 risk considerations for external interactions
  • At least 1 First Principles application
  • At least 3 combined 5 Whys/5 Hows applications

5.5 Completeness Checklist

Before concluding micro-analysis of a function, verify against the COMPLETENESS_CHECKLIST.md:

  • Structural Completeness: All required sections present (Purpose, Inputs, Outputs, Block-by-Block, Dependencies)
  • Content Depth: Minimum thresholds met (invariants, assumptions, risk analysis, First Principles)
  • Continuity & Integration: Cross-references, propagated assumptions, invariant couplings
  • Anti-Hallucination: Line number citations, no vague statements, evidence-based claims

Analysis is complete when all checklist items are satisfied and no unresolved "unclear" items remain.


5. Phase 3 — Global System Understanding

After sufficient micro-analysis:

  1. State & Invariant Reconstruction

    • Map reads/writes of each state variable.
    • Derive multi-function and multi-module invariants.
  2. Workflow Reconstruction

    • Identify end-to-end flows (deposit, withdraw, lifecycle, upgrades).
    • Track how state transforms across these flows.
    • Record assumptions that persist across steps.
  3. Trust Boundary Mapping

    • Actor → entrypoint → behavior.
    • Identify untrusted input paths.
    • Privilege changes and implicit role expectations.
  4. Complexity & Fragility Clustering

    • Functions with many assumptions.
    • High branching logic.
    • Multi-step dependencies.
    • Coupled state changes across modules.

These clusters help guide the vulnerability-hunting phase.


6. Stability & Consistency Rules

(Anti-Hallucination, Anti-Contradiction)

Claude must:

  • Never reshape evidence to fit earlier assumptions. When contradicted:

    • Update the model.
    • State the correction explicitly.
  • Periodically anchor key facts Summarize core:

    • invariants
    • state relationships
    • actor roles
    • workflows
  • Avoid vague guesses Use:

    • "Unclear; need to inspect X." instead of:
    • "It probably…"
  • Cross-reference constantly Connect new insights to previous state, flows, and invariants to maintain global coherence.


7. Subagent Usage

Claude may spawn subagents for:

  • Dense or complex functions.
  • Long data-flow or control-flow chains.
  • Cryptographic / mathematical logic.
  • Complex state machines.
  • Multi-module workflow reconstruction.

Use the function-analyzer agent for per-function deep analysis. It follows the full microstructure checklist, cross-function flow rules, and quality thresholds defined in this skill, and enforces the pure-context-building constraint.

Subagents must:

  • Follow the same micro-first rules.
  • Return summaries that Claude integrates into its global model.

8. Relationship to Other Phases

This skill runs before:

  • Vulnerability discovery
  • Classification / triage
  • Report writing
  • Impact modeling
  • Exploit reasoning

It exists solely to build:

  • Deep understanding
  • Stable context
  • System-level clarity

9. Non-Goals

While active, Claude should NOT:

  • Identify vulnerabilities
  • Propose fixes
  • Generate proofs-of-concept
  • Model exploits
  • Assign severity or impact

This is pure context building only.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Frequently asked questions about Deep Context Builder

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