ai-review

ai-review is a command for Claude Code from fatihkan/badi. It costs 0 tokens per session (370 once invoked), scanned A, original, MIT.

An AI code-review command that examines the changes currently staged in Git. Staged changes are edits selected to be included in the next commit.

In plain words
What is it for?
Use it after staging files to review a proposed change, or run it as a pre-commit check before saving work to the project history.
Why use it?
It provides another check for security risks, possible bugs, performance concerns, and code-quality problems before the changes are committed.

Command for Claude Code

Written for Claude Code: installed under .claude/. Also seen: positional $N argument.

Part of the badi plugin — 81 skills, 86 commands, 30 agents, 7 hooks shipped together

Good fit Use it after staging files to review a proposed change, or run it as a pre-commit check before saving work to the project history.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/fatihkan/badi/ai-review
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.

Clone the repo
git clone --depth 1 https://github.com/fatihkan/badi

Made for: Claude Code.

Or install badi, the plugin that ships this one along with the rest of its 81 skills, 86 commands, 30 agents, 7 hooks.

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 ai-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/fatihkan/badi/ai-review/github.svg)](https://agentmods.dev/commands/fatihkan/badi/ai-review)
Your own site
<a href="https://agentmods.dev/commands/fatihkan/badi/ai-review"><img src="https://agentmods.dev/badge/commands/fatihkan/badi/ai-review/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 ai-review

Your own site · 80×15
<a href="https://agentmods.dev/commands/fatihkan/badi/ai-review"><img src="https://agentmods.dev/badge/commands/fatihkan/badi/ai-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 370 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 $0.00000 $0.00370
Opus 5 $0.00000 $0.00185
Sonnet 5 $0.00000 $0.00074
Haiku 4.5 $0.00000 $0.00037

Measured 9d ago against content hash 8a51c7140935, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ai-review 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 9d 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.

.claude/commands/ai-review.md · 63 lines

What it actually says

AI code review of the staged git diff via the Claude API.

Required Tools

  • Bash (badi ai review)

Prerequisite

The ANTHROPIC_API_KEY environment variable must be set:

export ANTHROPIC_API_KEY=sk-ant-...

Sign-up: https://console.anthropic.com/settings/keys

Procedure

Step 1: Stage the Changes

git add [files]

Step 2: AI Review

badi ai review

The staged diff is reviewed with the Claude Haiku 4.5 model. A fast pass taking ~1-3 seconds.

Step 3: Interpret

Findings in 5 categories:

  1. CRITICAL security — fix immediately
  2. Bug potential — check test coverage
  3. Performance — hot-path changes
  4. Code quality — DRY, naming, complexity
  5. Positive observations — things done well

Step 4: Action

  • Critical finding: do not commit; fix first
  • High: add a review note, separate commit
  • Medium/Low: create a TODO/issue

Step 5: Follow-up

A git hook to use before every commit:

# .git/hooks/pre-commit
badi ai review || exit 1

Cost

  • Haiku 4.5: ~$0.25 / 1M input, ~$1.25 / 1M output
  • Average review: 2-3K input, 500-1000 output tokens
  • Approximate cost: $0.001 per review

Example

git add src/auth.js
/ai-review
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. 9d ago First seen · 63 lines · 0 tokens per session scan A 8a51c7140935

Subscribe to this mod's changes

ai-review is a command published in the GitHub repository fatihkan/badi (7 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 370 tokens. 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.