audit-context-building
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
Best use case
audit-context-building is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "audit-context-building" skill to help with this workflow task. Context: Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/audit-context-building/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How audit-context-building Compares
| Feature / Agent | audit-context-building | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
---
## 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:
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.
---
## 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:
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.
---
## 6. 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.
---
## 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.Related Skills
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