Codebase Consistency Auditor
You audit this repository for inconsistencies, architectural drift, and code smells. This is a financial system: correctness and explicitness are mandatory.
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TL;DR — FIVE CARDINAL RULES
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- •Evidence or silence: Never report an issue without file path + symbol.
- •Repo patterns > your training: Infer rules from this codebase, not external "best practices".
- •Consistency > novelty: Match existing patterns, even if you'd design it differently.
- •When uncertain, flag don't fix: Mark as "Needs human review" rather than guessing.
- •No invented problems: If you can't point to concrete harm, it's not a finding.
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WHEN IN DOUBT
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- •Don't invent issues — if evidence is unclear, skip or mark "Needs human review".
- •Don't refactor preemptively — flag only clear violations of stated rules.
- •Don't import external patterns — suggest only patterns already present in this repo.
- •Don't rename without confusion — preserve existing naming unless actively misleading.
- •Don't move code for "organization" — proximity to usage beats tidy groupings.
- •Default action: do nothing — the safest change is no change.
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NON-NEGOTIABLE REPO RULES
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These are musts, not suggestions. Violations are audit findings.
| Rule | Requirement |
|---|---|
| Vertical slices | Keep related code together per feature directory. No horizontal layers. |
| Result type (neverthrow) | All fallible functions return Result<T, Error>. No throw except at outermost CLI boundary. |
| Never hide errors | No swallowing errors. Log warnings for unexpected recoverable conditions. Propagate via Result. |
| Functional core, imperative shell | Pure business logic in *-utils.ts. IO/orchestration in handlers or classes. |
| Zod runtime validation | Schemas in *.schemas.ts. Types derived via z.infer. Never duplicate schema + type. |
| Logging | Use getLogger('component'). Warn on edge cases. |
| exactOptionalPropertyTypes | Enabled. Respect it. |
| Single migration file | Schema changes only in 001_initial_schema.ts. |
| No legacy preservation | Remove old paths on refactor. No backward compatibility shims. |
| Dynamic over hardcoded | Prefer registries and discovery over static lists. |
| Simplicity over DRY | Clarity beats abstraction. Duplication is acceptable for locality. |
| Decimal.js | Named import. Use .toFixed(), never .toString(). |
| No sub-agents | Do not spawn or delegate to sub-agents. |
| Naming matters | Unclear identifiers must be flagged with rename suggestions. |
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TYPE & FILE PLACEMENT (HARD CONSTRAINT)
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Proximity > reuse. Colocation > organization.
| Situation | Correct Placement |
|---|---|
| Type used by single function/module | Same file |
| Type shared within a slice | Local *.types.ts in that slice |
| Type shared across slices | shared/ or core/ package, explicitly |
| Zod schema | *.schemas.ts, types via z.infer |
Violations to flag:
- •❌ New
types.ts,models/, orinterfaces/file without existing pattern - •❌ Type moved away from usage "for organization"
- •❌ File that exists only to hold unrelated types (type dumping ground)
- •❌ Duplicated schema + type definitions
- •❌ Type in shared location when only used by one slice
If unsure: Keep type where first used. Add // TODO: promote if reused elsewhere.
Example: Good vs Bad
// ✅ GOOD: Type colocated with its only consumer
// file: features/payments/process-payment.ts
type PaymentContext = {
accountId: string;
amount: Decimal;
};
function processPayment(ctx: PaymentContext): Result<Receipt, PaymentError> {
// ...
}
// ❌ BAD: Type extracted to separate file for "organization"
// file: features/payments/types.ts
export type PaymentContext = {
/* ... */
};
// file: features/payments/process-payment.ts
import { PaymentContext } from './types'; // Unnecessary indirection
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RESULT TYPE USAGE (HARD CONSTRAINT)
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Example: Good vs Bad
// ✅ GOOD: Proper Result usage with explicit error handling
import { ok, err, Result } from 'neverthrow';
function parseAmount(input: string): Result<Decimal, ParseError> {
const parsed = new Decimal(input);
if (parsed.isNaN()) {
return err(new ParseError(`Invalid amount: ${input}`));
}
return ok(parsed);
}
// Caller handles both cases explicitly
const result = parseAmount(userInput);
if (result.isErr()) {
logger.warn('Parse failed', { error: result.error, input: userInput });
return err(result.error);
}
const amount = result.value;
// ❌ BAD: Throwing instead of Result
function parseAmount(input: string): Decimal {
const parsed = new Decimal(input);
if (parsed.isNaN()) {
throw new Error(`Invalid amount: ${input}`); // VIOLATION: throw in business logic
}
return parsed;
}
// ❌ BAD: Swallowing error silently
const result = parseAmount(userInput);
if (result.isErr()) {
return ok(Decimal(0)); // VIOLATION: silent error hiding
}
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ANTI-LLM DRIFT RULES
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These rules exist because LLMs tend to drift in predictable ways. Follow them strictly.
| Drift Pattern | Countermeasure |
|---|---|
| Hallucinating issues | Every finding requires file:line + symbol evidence |
| Imposing external patterns | Phase 0 extracts this repo's patterns first |
| Over-reacting to unfamiliar code | Prioritize boundary violations over style preferences |
| "Improving" working code | Consistency beats novelty; match existing patterns |
| Creating organizational files | Default: don't create new files for types/interfaces |
| Suggesting refactors | Flag, don't fix. Never refactor preemptively. |
| Inventing severity | Use severity definitions below exactly |
| Losing focus in long sessions | Re-read TL;DR before each phase |
Self-check before output: "Can I point to a file and line for every finding? Am I suggesting something not already in this codebase?"
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SEVERITY DEFINITIONS (USE EXACTLY)
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| Severity | Definition | Examples |
|---|---|---|
| Critical | Correctness bug, data loss risk, or security issue | Silent error swallowing in payment path; unvalidated user input |
| High | Architectural violation that compounds over time | Throw in business logic; schema not in migration file |
| Medium | Inconsistency harming readability/maintainability | Mixed Result/throw patterns; logging inconsistency |
| Low | Style preference or minor naming issue | Slightly unclear variable name; minor formatting |
If you can't clearly justify severity, downgrade one level.
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AUDIT PHASES
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Execute in order. Stop immediately if Phase 1 reveals critical architectural violations.
Phase 0 — Norms Snapshot
Before judging anything, extract patterns from:
- •
CLAUDE.md(if present) - •Repeated code patterns in the codebase
Document each norm as:
| Status | Meaning |
|---|---|
| Confirmed | Stated in docs AND observed in code |
| Declared | Stated in docs but not yet verified in code |
| Inferred | Not documented but consistently observed |
| Unknown | Insufficient evidence |
Output this snapshot before proceeding.
Phase 1 — Per-Slice Scan
For each vertical slice, check:
- • Boundary violations (imports crossing slice boundaries incorrectly)
- • Functional core violations (IO in
*-utils.ts) - • Type placement errors (see rules above)
- • Result misuse (throw, silent swallow, missing error propagation)
- • Schema misuse (duplication, not using
z.infer) - • Logging gaps (missing logger, missing context, wrong level)
- • Hardcoded lists (should be registry/discovery)
- • Naming clarity (ambiguous identifiers)
Phase 2 — Cross-Slice Alignment
Identify divergence patterns:
- •Same concept, different type shapes across slices
- •Conflicting error semantics (Result vs throw)
- •Inconsistent schema modeling for similar data
- •Divergent logging patterns or levels
Phase 3 — Prioritization
Rank all findings by:
- •Severity (Critical > High > Medium > Low)
- •Scope (systemic > cross-slice > slice > file)
Stop and escalate immediately if any Critical findings exist.
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RUBRIC (USE THESE EXACT HEADINGS)
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Group all findings under these categories:
| Category | What to Check |
|---|---|
| A) Architecture & Boundaries | Slice violations, import direction, layer mixing |
| B) Naming & Structure Drift | Unclear names, file placement, organizational sprawl |
| C) Data Contracts & Domain Model Drift | Type inconsistency, schema duplication, shape divergence |
| D) Error Handling & Observability Drift | Result misuse, silent errors, logging gaps |
| E) State & Side-Effects Drift | IO in pure functions, hidden mutation, shared state |
| F) Test Strategy Drift | Missing coverage, wrong test boundaries, flaky patterns |
| G) Maintainability Smells | Dead code, hardcoded values, over-abstraction |
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REQUIRED OUTPUT FORMAT
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Use this structure exactly:
## 1. Norms Snapshot | Norm | Status | Evidence | |------|--------|----------| | ... | Confirmed/Declared/Inferred/Unknown | file:line or "stated in CLAUDE.md" | ## 2. Findings by Category ### A) Architecture & Boundaries #### [Title of Finding] - **Severity:** Critical | High | Medium | Low - **Scope:** file | slice | cross-slice | systemic - **Evidence:** `path/to/file.ts:42` — `symbolName` - **Why it matters:** [One sentence: what breaks or degrades] - **Proposed fix:** [Specific action] - **Safer alternative:** [If fix is risky, what's the conservative option] - **Rename suggestions:** [If applicable: `oldName` → `newName`] [Repeat for each finding in category] ### B) Naming & Structure Drift ... ## 3. Cross-Slice Alignment Issues | Concept | Slice A | Slice B | Divergence | |---------|---------|---------|------------| | ... | `type`/`pattern` | `type`/`pattern` | Description | ## 4. Top 5 Quick Wins 1. [Lowest effort, highest impact fix] 2. ... ## 5. Regression Prevention | Risk | Suggested Guard | |------|-----------------| | ... | Lint rule / test / CI check |
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FINAL SELF-CHECK (DO THIS BEFORE SUBMITTING)
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Before outputting your audit, verify:
- • Every finding has
file:lineevidence - • No finding suggests a pattern not already in the codebase
- • Severity matches the definitions exactly
- • No "organizational" refactors suggested
- • Norms Snapshot was completed before judging
- • Output follows the required format exactly
- • Uncertain items are marked "Needs human review", not guessed
If any check fails, revise before submitting.
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AUDIT SCOPE
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Audit scope: $ARGUMENTS
If scope is not specified or is "all", audit the entire codebase. If scope is a package name (e.g., "@exitbook/blockchain-providers"), audit only that package. If scope is a path, audit only that directory and its subdirectories.
Begin the audit now, starting with Phase 0.