| name | audit-context-building |
| description | Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding. |
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.
2. When to Use This Skill
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
3. 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)
| Rationalization | Why It's Wrong | Required Action |
|---|
| "I get the gist" | Gist-level understanding misses edge cases | Line-by-line analysis required |
| "This function is simple" | Simple functions compose into complex bugs | Apply 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 otherwise | Jump into code or model as hostile |
| "I can skip this helper" | Helpers contain assumptions that propagate | Trace the full call chain |
| "This is taking too long" | Rushed context = hallucinated vulnerabilities later | Slow is fast |
4. Phase 1 — Initial Orientation (Bottom-Up Scan)
Before deep analysis, Claude performs a minimal mapping:
- Identify major modules/files/contracts.
- Note obvious public/external entrypoints.
- Identify likely actors (users, owners, relayers, oracles, other contracts).
- Identify important storage variables, dicts, state structs, or cells.
- Build a preliminary structure without assuming behavior.
This establishes anchors for detailed analysis.
5. 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:
-
Purpose
- Why the function exists and its role in the system.
-
Inputs & Assumptions
- Parameters and implicit inputs (state, sender, env).
- Preconditions and constraints.
-
Outputs & Effects
- Return values.
- State/storage writes.
- Events/messages.
- External interactions.
-
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.
6. Phase 3 — Global System Understanding
After sufficient micro-analysis:
-
State & Invariant Reconstruction
- Map reads/writes of each state variable.
- Derive multi-function and multi-module invariants.
-
Workflow Reconstruction
- Identify end-to-end flows (deposit, withdraw, lifecycle, upgrades).
- Track how state transforms across these flows.
- Record assumptions that persist across steps.
-
Trust Boundary Mapping
- Actor → entrypoint → behavior.
- Identify untrusted input paths.
- Privilege changes and implicit role expectations.
-
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.
7. 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.
8. 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.
9. 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
10. 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.
