Code Auditor

Architectural invariants enforced inside your AI agent's edit loop. When the agent writes code that breaks a project rule, Code Auditor catches it and blocks the edit. The agent sees the rule's message and fixes itself.

Install

npm install -g code-auditor-mcp
code-audit install --agent all

Two commands to install everywhere. code-audit install --agent all copies the skill to every AI coding tool on your machine. Use --agent for specific tools.

What you get per tool: the skill (SKILL.md), MCP server access, and hook wiring where the tool supports it (blocking on Claude Code and Codex, advisory on Cursor).

code-audit install --list   # see the support matrix

Claude Code users can also install via plugin:

claude plugin marketplace add BenAHammond/code-auditor-mcp
claude plugin install code-auditor

The hook auto-installs the auditor on first use via npx.

Related MCP server: ACE-MCP

Prompt examples

"Index the codebase and run a full audit. Create tasks from any violations."

"Create a .codeauditor.json that bans lodash imports and prevents src/languages/ from importing anything in src/analyzers/."

"Run a full code audit and create tasks from the violations."

"Sync the code index and audit only what changed vs main."

"Add an ast-pattern rule that blocks new Function(...)."

"Add a naming rule requiring hooks in src/hooks/ to start with use."

"Add a call-constraint so chargeCustomer() in src/services/payment.ts can only be called from src/api/."

Rule kinds

Five kinds. The agent writes them to .codeauditor.json. Bad configs fail the audit, not silently.

Works with your agent

One skill, one CLI, one MCP server. Every agent gets the same audit engine — the hook contract is the only difference.

Hook behavior: Blocking means violations at or above --fail-on severity prevent the edit from landing (the agent sees the violation and fixes inline). Advisory means violations are reported through the strongest available feedback channel but the edit has already occurred. Cursor's afterFileEdit hook is fire-and-forget with no output consumption. MCP is available everywhere for shell-less use.

Findings: Deterministic vs Advisory

Code Auditor's built-in rules fall into two categories:

Deterministic rules ship at critical or warning. Advisory rules ship at warning or suggestion. Rules proven near-zero precision on a real corpus are disabled by default (off) — users opt in when the rule matches their domain.

Recalibration

Built-in severity defaults are recalibrated from real-corpus triage. The current defaults reflect measurement on three corpora: this tool's own codebase, Gin, and Excalidraw. Six data-access rules that produced near-zero precision across all three corpora are disabled by default.

Every disabled rule documents what corpus it would be useful on. Users can restore any rule via severityOverrides in .codeauditor.json:

{
  "severityOverrides": {
    "sql-injection-risk": "warning",
    "missing-org-filter": "critical",
    "loop-query": "warning"
  }
}

Severity overrides apply globally (before per-directory path profile caps). Setting a rule to "off" removes it from the output entirely.

SQL Injection Detection

The sql-injection-risk rule is disabled by default (off) after recalibration. On the self-audit corpus, it produced 0% precision — the analyzer misinterpreted TypeScript pattern-matching code (string constants like 'SELECT', 'FROM', 'WHERE' used for the tool's own SQL detection) as database queries. On the Gin and Excalidraw corpora, precision was also near zero.

When to re-enable it: your project's SQL is constructed via string concatenation or template literals in functions whose sole purpose is query assembly. The rule detects those patterns. For codebases using ORMs or parameterized queries exclusively, the rule produces noise.

To re-enable and block on SQL injection:

{
  "severityOverrides": {
    "sql-injection-risk": "critical"
  }
}

With sql-injection-risk: critical and code-audit changed --fail-on critical, your agent's hook will block edits that introduce AST-level SQL injection patterns.

Style Intelligence

Code Auditor indexes every style declaration in your project — CSS, SCSS, Tailwind, inline styles, and CSS-in-JS. The styles analyzer reads global distributions and flags fragmentation that no single-file linter can see.

7 detectors, 10 rule IDs:

The analyzer reads from a project-wide SQLite index, so scoped runs (changed files only) still compare against the full project baseline. A fresh #273828 drift color in a scoped run is caught against the full corpus of #1e2328 values.

Style invariant rules:

{
  "rules": [
    {
      "kind": "style-mechanism",
      "message": "Only Tailwind in src/components/",
      "allow": ["tailwind"],
      "path": "src/components/**"
    },
    {
      "kind": "no-raw-values",
      "message": "No raw colors in src/pages/ — use design tokens",
      "properties": ["color", "background-color"],
      "path": "src/pages/**"
    }
  ]
}

Style search operators — search by property, value, mechanism, or token:

code-audit search "css:margin-top value:16px"          # specific value
code-audit search "mechanism:inline css:color"          # inline color declarations
code-audit search "token:--color-primary"                # bypassing a design token

The React analyzer also gains raw-element detection: if your project has a Button wrapper, raw <button> usages outside Button's definition become warnings.

License

MIT