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deep-codebase-audit

deep-codebase-audit is a skill for Claude Code, Codex from kambleakash0/agent-skills. It costs 67 tokens per session (1,850 once invoked), scanned A, original, MIT.

A codebase review workflow that finds architectural friction and suggests ways to make modules deeper and easier to use. A module is code with an interface and implementation; a deep module hides complex work behind a simpler interface.

In plain words
What is it for?
Use it to audit architecture, improve testability and agent navigation, consolidate tightly coupled modules, and propose safer refactors.
Why use it?
It helps reveal why a codebase is hard to change, test, or navigate, especially before larger AI-assisted changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 10repo 9d ago A scan 67 tokens original MIT

Good fit Use it to audit architecture, improve testability and agent navigation, consolidate tightly coupled modules, and propose safer refactors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kambleakash0/agent-skills/deep-codebase-audit
View source ↗ kambleakash0/agent-skills skills.sh
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 kambleakash0/agent-skills --skill deep-codebase-audit
Clone the repo
git clone --depth 1 https://github.com/kambleakash0/agent-skills

Made for: Claude Code, Codex.

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.

agentmods badge for deep-codebase-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/kambleakash0/agent-skills/deep-codebase-audit/github.svg)](https://agentmods.dev/skills/kambleakash0/agent-skills/deep-codebase-audit)
Your own site
<a href="https://agentmods.dev/skills/kambleakash0/agent-skills/deep-codebase-audit"><img src="https://agentmods.dev/badge/skills/kambleakash0/agent-skills/deep-codebase-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.

agentmods 80×15 button for deep-codebase-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/kambleakash0/agent-skills/deep-codebase-audit"><img src="https://agentmods.dev/badge/skills/kambleakash0/agent-skills/deep-codebase-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,850 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01850
Opus 5.5 $0.00027 $0.00740
Sonnet 5.5 $0.00013 $0.00370
Haiku 4.5 $0.00007 $0.00185

Measured 2mo ago against content hash 0a4c1f6f19dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-codebase-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 2mo 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.

skills/deep-codebase-audit/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Codebase Audit

Surface architectural friction and propose deepening opportunities — refactors that turn shallow modules into deep ones. The aim is testability, AI-navigability, and leverage.

References for this skill are in the references/ folder:

When to Use

Use this skill when:

  • The user says the codebase feels messy, hard to change, or "not ready for AI".
  • You want to improve testability and make future TDD or autonomous agent work more effective.
  • You're about to invest heavily in AI-driven changes and want to reduce risk first.

Do not use this skill when the user just wants to ship a small feature — use /incremental-tdd instead.

Glossary

Use these terms exactly in every suggestion. Consistent language is the point — don't drift into "component," "service," "API," or "boundary." Full definitions in GLOSSARY.md.

  • Module — anything with an interface and an implementation (function, class, package, slice).
  • Interface — everything a caller must know to use the module: types, invariants, error modes, ordering, config. Not just the type signature.
  • Implementation — the code inside.
  • Depth — leverage at the interface: a lot of behaviour behind a small interface. Deep = high leverage. Shallow = interface nearly as complex as the implementation.
  • Seam — where an interface lives; a place behaviour can be altered without editing in place. (Use this, not "boundary.")
  • Adapter — a concrete thing satisfying an interface at a seam.
  • Leverage — what callers get from depth.
  • Locality — what maintainers get from depth: change, bugs, knowledge concentrated in one place.

Key principles (see GLOSSARY.md for the full list):

Read the full file on GitHub · 129 lines

Files

What ships with it

3 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.

  1. 2mo ago First seen · 129 lines · 67 tokens per session scan A 0a4c1f6f19dd

Subscribe to this mod's changes

deep-codebase-audit is a skill published in the GitHub repository kambleakash0/agent-skills (10 stars, last pushed 9d ago), licensed MIT. It adds 67 tokens to every session and 1,850 once invoked, about $0.0003 per session on Opus 5.5. 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.

Claude CodeCode reviewagent-skillsai-agentsai-assistantantigravityautomation
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