Borrowing it
Nothing to install: this file belongs to cmdaltctr/claude-gemini-mcp-slim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cmdaltctr/claude-gemini-mcp-slim/main/.claude/commands/codebase.mdgit clone --depth 1 https://github.com/cmdaltctr/claude-gemini-mcp-slimWrote 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.
[](https://agentmods.dev/commands/cmdaltctr/claude-gemini-mcp-slim/codebase)<a href="https://agentmods.dev/commands/cmdaltctr/claude-gemini-mcp-slim/codebase"><img src="https://agentmods.dev/badge/commands/cmdaltctr/claude-gemini-mcp-slim/codebase/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.
<a href="https://agentmods.dev/commands/cmdaltctr/claude-gemini-mcp-slim/codebase"><img src="https://agentmods.dev/badge/commands/cmdaltctr/claude-gemini-mcp-slim/codebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00011 | $0.00130 |
| Opus 5.5 | $0.00004 | $0.00052 |
| Sonnet 5.5 | $0.00002 | $0.00026 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
codebase 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 1mo 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.
What it actually says
Codebase Analysis
Analyze entire directories and codebases with Gemini's large context window.
Usage: /codebase [directory_path] [scope:optional]
Examples:
/codebase ./src/codebase ./components security/codebase . all
Analyzing codebase: $ARGUMENTS
!mcp__gemini-mcp__gemini_codebase_analysis directory_path="$1" analysis_scope="$2"
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.
- 1mo ago First seen · 20 lines · 11 tokens per session scan A 6aa07a91a23a
codebase is a command published in the GitHub repository cmdaltctr/claude-gemini-mcp-slim (231 stars, last pushed 11mo ago), licensed MIT. It adds 11 tokens to every session and 130 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
ai-hygiene-audit
Audit codebase for AI-generated code quality issues (vibe coding, Tab bloat, slop).
elegant-code-review
Review the current working diff against the elegant-code decision ladder and propose deletions, honoring the negligence floor.
visualize
Generate visual diagrams of codebase structure using Mermaid Chart MCP rendering.
audit-quick
Run a quick codebase orientation scan — Phases 0 and 1 only (architecture map + health assessment). Skips deep analysis (security, performance, code quality) and the roadmap. Good for onboarding onto a new project or a fast pre-review checkup. Run /audit --resume later to continue with the deep phases.
review
Perform a comprehensive code review with actionable feedback.
code-simplify
Simplify code incrementally while preserving behavior exactly.