ler-drive

ler-drive is a command for Claude Code from marcosrodsa/mega-brain. It costs 19 tokens per session (1,671 once invoked), scanned A, original, no licence file.

A tool for reading and creating Google Drive spreadsheets, folders, and documents.

In plain words
What is it for?
Reviewing Drive content and creating or updating spreadsheets, folders, and documents.
Why use it?
It helps an agent work with files in Google Drive without requiring you to handle each file manually.

Command for Claude Code

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 commands/marcosrodsa/mega-brain/ler-drive
Clone the repo
git clone --depth 1 https://github.com/marcosrodsa/mega-brain

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.

agentmods badge for ler-drive

README.md
[![agentmods](https://agentmods.dev/badge/commands/marcosrodsa/mega-brain/ler-drive.svg)](https://agentmods.dev/commands/marcosrodsa/mega-brain/ler-drive)
Your own site
<a href="https://agentmods.dev/commands/marcosrodsa/mega-brain/ler-drive"><img src="https://agentmods.dev/badge/commands/marcosrodsa/mega-brain/ler-drive.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,671 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00019 $0.01671
Opus 5 $0.00010 $0.00835
Sonnet 5 $0.00004 $0.00334
Haiku 4.5 $0.00002 $0.00167

Measured 4d ago against content hash b424c9f2a601, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ler-drive 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 4d 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/ler-drive.md · 213 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 213 lines · 19 tokens per session scan A b424c9f2a601

Subscribe to this mod's changes

ler-drive is a command published in the GitHub repository marcosrodsa/mega-brain (5 stars, last pushed 6mo ago), with no licence file. It adds 19 tokens to every session and 1,671 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.