A user-run review of an existing codebase across code quality, design, security, and data integrity. It uses several parallel reviewers and reports problems without changing the code.

Use it for release checks, cross-agent reviews, periodic codebase reviews, and verifying that review findings were fixed.

It gives a broad check before a release, deployment, or after fixes, reducing the chance that problems remain hidden. It also separates finding issues from implementing fixes.

audit — Skill for Claude Code by irahardianto/awesome-agv

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.

Any agent

npx skills add irahardianto/awesome-agv --skill audit

Clone the repo

git clone --depth 1 https://github.com/irahardianto/awesome-agv

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/irahardianto/awesome-agv/audit/github.svg)](https://agentmods.dev/skills/irahardianto/awesome-agv/audit)

Your own site

<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/audit"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/audit"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,084 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.02084
Opus 5.5	$0.00015	$0.00834
Sonnet 5.5	$0.00007	$0.00417
Haiku 4.5	$0.00004	$0.00208

Measured 2d ago against content hash 59b62db1b4a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

audit scanned grade B with 1 finding 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.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

- [ ] `.agentwork/` directory cleaned up (`rm -rf .agentwork/`)

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

.agents/skills/audit/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audit Skill

Entry-point guard: This is a user-invoked command skill (/audit). If you are a spawned subagent, do NOT execute this skill — return to your assigned scope card.

Purpose

Comprehensive, multi-dimensional code audit of existing code. Dispatches parallel subagents across orthogonal code quality, architectural, security, and integrity dimensions for maximum coverage. This skill identifies issues — it does not write new features or fixes.

When to Use

After another agent's feature is committed (cross-agent review)
Periodic quality gates on the codebase
Before releases or deployments
When user wants assurance without writing new code
After addressing review findings, to verify the fixes

When NOT to Use

Deep security-only vulnerability scan → /security-audit
When writing new features → /workflow-solo or /workflow-team
When fixing known bugs → /bugfix
When restructuring code → /refactor

References

references/audit-dimensions.md and references/audit-report-template.md — contains dimension scope cards, subagent prompt template, and report template.

Pre-Audit Checklist

Before starting the audit, you MUST:

Scan .agents/rules/ directory — these form the baseline review criteria
Read rule-priority.md — for conflict resolution and severity classification
Identify audit scope — determine whether auditing a specific feature, module, or full codebase

Phase 0: Reconnaissance

Before dispatching subagents, understand the codebase structure and scope.

0.1 — Stack & Architecture Detection

Scan for language/framework/infrastructure markers:

Languages: go.mod, package.json, Cargo.toml, pyproject.toml, pom.xml, *.csproj, Gemfile, composer.json
Frameworks: HTTP frameworks, ORMs, UI frameworks, state management
Architecture: Directory layout, monorepo structure (apps/), feature slice organization

0.2 — Codebase Inventory

Map key components within the audit scope:

API endpoints and public entry points
Business logic modules & pure domain functions
Storage adapters & database interactions
External service integrations & HTTP clients
Logging, monitoring & observability setup
Configuration and environment variable usage
Test suite structure (unit, integration, E2E)

Read the full file on GitHub · 196 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2d ago First seen · 196 lines · 37 tokens per session scan B 59b62db1b4a7

Subscribe to this mod's changes

audit is a skill published in the GitHub repository irahardianto/awesome-agv (156 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 2,084 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-15.

Code review Security ai-agent ai-coding best-practices coding-standards framework generative-ai

review-system-design

Review a system design someone else provided - screenshot, drawio, Mermaid, slides, doc, or IaC - by extracting it into a confirmed fact sheet, then scoring it on the nine axes.

HoangNguyen0403/agent-skills-standard · 44 tokens

codebase-review

Review an entire codebase for architecture, engineering health, and exploitable risk; generate a prioritized remediation plan, an evidence-anchored system knowledge document, or both.

HoangNguyen0403/agent-skills-standard · 38 tokens

common-feedback-reporter

Pre-write audit for skill violations: checks planned code against loaded skill anti-patterns before any file write. Use when writing Flutter/Dart/TS code or editing SKILL.md files with active project skills. Load as composite; on auto-fixed violation, also load +common/common-learning-log.

HoangNguyen0403/agent-skills-standard · 63 tokens

audit