Ln 22 Codebase Auditor

Codebase Auditor

Goal: Perform a broad, read-only production-code health audit. Find concrete cross-cutting failure, security, delivery, and maintenance risks without turning detector matches or personal style preferences into findings. Do not substitute for documentation trust, test-portfolio, whole-architecture, or persistence-specific review.

Execution contract: The ordered checkboxes are the Definition of Done. Track every item internally as PENDING, PROVEN with concrete evidence, CLEARED with evidence that its condition is absent, or UNPROVEN with a gap; reading, delegation, or tool failure is not proof. Reconcile items after each section. Before returning, resolve all PENDING and count only PROVEN and CLEARED; apply the skill's verdict and approval rules to every gap. Preserve user intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. Scale depth to material risk without silently skipping checks. Preserve dependency and safety ordering; otherwise choose the verification method appropriate to each obligation.

Tool Routing

Start with summary-level discovery and narrow before reading deeply. Run only repository-defined or clearly safe diagnostic commands; never publish, deploy, migrate production data, rotate secrets, or rewrite files during the audit.

Evidence Rules

• A pattern match is a candidate, not a finding. Confirm reachability, context, and consequence.
• Runtime failure or deterministic command output outweighs static suspicion; static evidence remains valid when execution is unavailable and the limitation is explicit.
• Generated, vendored, fixture, migration-history, and intentionally compatible code require context-specific treatment.
• External best practice is actionable only when it addresses a concrete repository defect or risk.
• Score or count only findings with distinct root causes; deduplicate symptoms that share one correction.

Checklist

1. Establish Scope and Baseline

• Detect languages, frameworks, package managers, entrypoints, deployment model, generated areas, and the repository's supported verification commands.
• Classify each runtime surface as long-running service, CLI, library, job, serverless function, or platform-managed component before requiring probes, telemetry, signal handling, or shutdown behavior.
• Read applicable instructions and identify security boundaries, critical business paths, public interfaces, and irreversible operations.
• Inspect Git state so the audit does not overwrite, misattribute, or ignore unrelated user changes.
• Establish feasible build, lint, type, test, and smoke baselines; record executed scope, environment, exit status, and evidence. Verify required work ran rather than succeeding with no selected tests or skipped gates.
• Define exclusions and depth based on risk rather than scanning every file with equal effort.
• Keep the audit read-only. Allow only permitted caches and build artifacts and disclose them when created.

2. Audit Security and Delivery Boundaries

• Search for committed secrets, unsafe credential patterns, sensitive defaults, debug bypasses, and accidental exposure through logs or errors.
• For credential findings, never expose the raw value: distinguish live material from placeholders, fixtures, examples, and allowlisted fingerprints; report only the type, location, and redacted evidence, and recommend revocation, rotation, or history remediation only for confirmed exposure without performing it during the audit.
• Trace untrusted input into SQL, shell, templates, HTML, file paths, URLs, deserialization, redirects, and other injection-sensitive sinks.
• Check authentication, authorization, tenant or ownership isolation, privilege transitions, insecure direct object access, and default-deny behavior.
• Check validation at trust boundaries, canonicalization, size and rate limits, unsafe file operations, and destructive-action confirmation or guards.
• Verify security findings against actual call paths, framework behavior, configuration, and current official guidance before assigning severity.
• Inspect compiler, linter, type checker, tests, packaging, and CI configuration for skipped gates, ignored failures, environment drift, and non-reproducible delivery.
• Verify that successful packaging produces the intended entrypoints, assets, metadata, target platform, and deployable artifact; exit code zero alone does not prove a shippable build.
• Find stale skip, quarantine, allow-failure, continue-on-error, and warning-suppression paths that make required signals appear green.
• Check configuration completeness, required environment validation, unsafe fallbacks, missing examples, and differences between local, CI, and deployment settings.

3. Audit Maintainability and Dependencies

• Find evidence-backed duplication across functions, handlers, modules, configuration, and integration code; distinguish shared domain concepts from coincidental similarity.
• Identify over-abstraction, unused extension points, excessive factories or wrappers, parallel mechanisms, and custom utilities that duplicate declared platform capabilities.
• Before merging duplication or removing an abstraction, check lifecycle and ownership boundaries, intentional decoupling, dependency injection or test seams, framework requirements, public extension contracts, and expected independent evolution.
• Inspect complexity hotspots, long methods, god modules, deep nesting, excessive parameters, boolean-mode APIs, misleading names, and mixed responsibilities.
• Check algorithms for early-exit mistakes, duplicate-key loss, boundary errors, unbounded work, repeated scans, mutation during iteration, and hidden shared state.
• Check hardcoded operational values, URLs, timeouts, limits, identifiers, and environment-specific behavior that should be explicit configuration or named policy.
• Trace one concept across external contracts, DTOs, services, persistence, and storage; flag synonym or casing drift only when no explicit serializer, code-generation, or ORM boundary mapping explains it.
• Audit dependency vulnerabilities, support status, license or runtime constraints, duplicate packages, unused packages, and credible replacement or removal opportunities.
• Match advisories to the resolved version and deployment, then classify exposure as confirmed, unknown, or not applicable using reachability and exploit conditions; an unavailable call path cannot clear an affected component.
• Recommend native, existing-dependency, or external replacements only after checking required feature parity, migration surface, maintenance, license, security history, and domain-specific behavior.
• Find unreachable code, unused imports and exports, commented-out implementations, obsolete flags, dead compatibility shims, and replacement code left beside its successor.
• Confirm dead-code findings against reflection, registration, framework discovery, configuration, serialization, templates, and external entrypoints before reporting deletion as safe.

4. Audit Diagnosability, Concurrency, and Lifecycle

• Check whether logs are structured, correctly leveled, actionable, correlated across a request or job, and free of secrets and excessive payload data.
• Verify that correlation context crosses outbound calls, queues, retries, scheduled work, and detached async boundaries instead of existing only in the first request log.
• Check metrics, traces, health signals, and error context for critical paths; require observability only where operators need it to detect or diagnose failure.
• Trace shared mutable state, lock ordering, atomicity, async task ownership, cancellation, retries, and race windows on reachable concurrent paths.
• Inspect read-modify-write across await or yield points and build a resource/accessor timeline for shared files, subprocesses, terminal or OS resources, and repeated user triggers; include accessors outside the current process.
• Check blocking I/O or synchronous waits in async paths, unbounded concurrency, orphan tasks, deadlocks, TOCTOU hazards, and thread-unsafe resources.
• Inspect startup ordering, dependency readiness, configuration validation, fail-fast behavior, signal handling, graceful shutdown, and in-flight work draining.
• Inventory resources acquired during startup and runtime, then match each to idempotent cleanup in safe reverse dependency order on success, failure, timeout, cancellation, and repeated shutdown signals.
• Verify host-specific probe semantics: liveness failure should justify restart, readiness governs traffic eligibility, and startup checks protect initialization. Avoid dependency-triggered restart cascades and probes that create material load or side effects.

5. Validate Findings and Report

• Research external APIs, standards, vulnerabilities, and runtime behavior only when they can change a finding, using official sources matching the relevant version.
• Filter framework conventions, generated code, bounded administrative paths, tests, examples, and documented tradeoffs before confirming a candidate.
• Reproduce high-severity issues with a safe command, test, minimal call trace, or complete static failure path whenever possible.
• Apply the materiality gate: require concrete failure, security, delivery, operability, or recurring maintenance impact at evidenced scale. Reject taste, theoretical purity, generic practice, hypothetical scale, and reasonable alternatives; require the outcome or constraint, not a preferred implementation.
• Ground external corrections in version-matched official contracts, using primary engineering sources for unresolved tradeoffs. Cite the supported mechanism; local evidence suffices for local defects.
• Classify findings as P0-P3 based on exploitability, data or availability impact, delivery blockage, recurrence, and remediation urgency.
• Order remediation by risk reduction and dependency, not by file order or detector category.
• Use BLOCKED when a required safety environment, high-risk behavior, or authoritative contract cannot be verified without a credible fallback; use FAIL for an evidenced unresolved P0/P1, required failing delivery gate, or demonstrated unsafe behavior; use CONCERNS only for verified non-blocking risks, and PASS only when required checks complete with no material finding.

Self-Check

• Reconcile before returning. Check item-level evidence, requirement coverage, contradictions, scope, verdict, and applicable cleanup. Correct the report or authorized artifacts. Reuse valid evidence; do not automatically rescan the repository or rerun successful commands. Repeat checks only for relevant changes, failures, or unresolved evidence. Disclose remaining gaps.

Output Contract

Report in the user's language, in this order; retain all five fields and state each fact once. Small results may use one line per field; omit empty tables and do not copy linked artifacts:

1. Result: Skill-specific verdict and supported outcome.
2. Scope: Reviewed/changed scope, exclusions, baseline, and material assumptions.
3. Evidence: Skill-specific fields below; distinguish facts, inferences, and unverified claims. Link artifacts; use tables when useful.
4. Verification: Checks/results, unavailable evidence, and applicable cleanup/external state.
5. Completion: Checklist: X/Y complete; Incomplete: None or each UNPROVEN item's reason, outcome impact, and exact next action; residual risks and required decisions.

Skill-specific evidence: Security, delivery, maintainability/dependencies, diagnosability, concurrency, and lifecycle evidence. Findings need priority, location, trigger or failure path, confidence, material impact, unacceptable tradeoff, and minimal remediation with expected effort; allow equivalent valid solutions. Order remediation by prerequisites and risk reduction, not detector count.