sub-audit

A code-review and documentation-audit skill for recent project changes. It examines changed files for implementation problems, missing documentation, edge cases, and type-safety issues.

In plain words
What is it for?
It is for auditing changes across areas such as backend, frontend, shared code, and configuration. The review covers issues including null values, race conditions, error handling, loose types, platform differences, and security risks.
Why use it?
It provides a focused review of new work without requiring a review of the entire codebase. It can expose bugs or missing updates before the changes are treated as finished.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/codename-11/subframe/sub-audit
Any agent
npx skills add Codename-11/SubFrame --skill sub-audit
Clone the repo
git clone --depth 1 https://github.com/Codename-11/SubFrame

Made for: Claude Code, Codex.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 687 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00029 $0.00687
Opus 5 $0.00015 $0.00344
Sonnet 5 $0.00006 $0.00137
Haiku 4.5 $0.00003 $0.00069

Measured 2d ago against content hash 25dfe92b14ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sub-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/sub-audit/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SubFrame Audit

Run a thorough audit on recent changes, combining code review and documentation checks.

Dynamic Context

Recent commits (last 15): !git log --oneline --no-decorate -15 2>/dev/null || echo "No git history"

Files changed vs main: !git diff --name-only main...HEAD 2>/dev/null | head -40

Instructions

Argument: $ARGUMENTS

The argument should describe the scope to audit. If empty, audit all changes since the last merge to main.

Phase 1: Identify Scope

Determine which files to audit:

  • If argument specifies a feature/scope, identify the relevant files
  • If empty, use git diff --name-only main...HEAD to find all changed files
  • Group files by layer (e.g., backend, frontend, shared, config, tests)

Phase 2: Code Review (spawn agent)

Spawn a code review agent (feature-dev:code-reviewer subagent type) to review the changed files. The agent should check for:

  1. Critical bugs — null/undefined access, race conditions, unhandled errors, infinite loops
  2. Type safetyas any casts, missing type imports, loose typing where strict types exist
  3. Platform issues — Windows path handling, file system edge cases
  4. Security — command injection, XSS in rendered content, path traversal
  5. Logic errors — off-by-one, incorrect conditions, missing edge cases

Phase 3: Documentation Audit (spawn agent)

Spawn an explore agent (Explore subagent type) to check documentation completeness:

  1. AGENTS.md — Are all modules/components listed?
  2. changelog.md — Does [Unreleased] reflect all new features?
  3. PROJECT_NOTES.md — Are architecture decisions documented?
  4. STRUCTURE.json — Is it up to date? (compare module count with actual files)

Phase 4: Report

Present findings in this format:

## Audit Report

### Critical Issues (must fix)
1. [FILE:LINE] Description — severity, impact

### Important Issues (should fix)
1. [FILE:LINE] Description — severity, impact

### Documentation Gaps
1. [FILE] What's missing

### Suggestions (nice to have)
1. Description

Read the full file on GitHub · 85 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 85 lines · 29 tokens per session scan A 25dfe92b14ac

Subscribe to this mod's changes

sub-audit is a skill published in the GitHub repository Codename-11/SubFrame (10 stars, last pushed 8d ago), licensed MIT. It adds 29 tokens to every session and 687 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

intuitive-tests

Use this skill whenever the user asks about unit test best practices, test organization, flat test suites, redundant tests, test refactors, pytest/JUnit/Jest/xUnit layout, test taxonomy, flaky tests, coverage quality, fixtures, mocks, parametrization, pruning existing UTs, or "which tests are worth keeping." It…

MiaoDX/intuitive-flow · 154 tokens

intuitive-flow

Stable execution/change router after an approved plan, preflight contract, or tiny concrete task. Refactor-shaped work delegates to intuitive-refactor, and durable work runs through staged planning, review, GSD handoff, implementation, cleanup, and verification while keeping plan ledgers and active capsules compact by…

MiaoDX/intuitive-flow · 98 tokens

intuitive-preflight

Turn a vague task, plan, issue, or "LGTM/go ahead" request into an approval-ready preflight contract before implementation starts. Use when the user wants prompt preflight, clearer scope, non-goals, context package, acceptance criteria, definition of done, verification, stop gates, the exact execution command, or…

MiaoDX/intuitive-flow · 112 tokens

intuitive-squash

Squash local GSD or agent-generated commit history into a clean, reviewable story while preserving important fixes. Use when the user asks to squash commits, clean git history, compress phase commits, prepare a branch before PR, compare aggressive vs moderate squash options, or preserve hotfix/security commits during…

MiaoDX/intuitive-flow · 73 tokens

multica-goal-tracker

Track goal-driven Multica issues. Use when a user creates or maintains Multica issues by pasting a /goal prompt, wants Codex to summarize that goal into a concise issue purpose, append a normalized goal-start comment, record completion evidence from real Multica execution run messages or a supplied session transcript…

MiaoDX/intuitive-flow · 86 tokens

cross-review

Challenge an existing agent proposal through a small bounded set of independent review perspectives, then judge the findings into one simpler or more defensible recommendation. Use immediately after an agent proposes a solution when the user asks whether there is a simpler approach, wants a second opinion or other…

MiaoDX/intuitive-flow · 115 tokens