explore-tables

A command for exploring the tables and fields available in a Datarails account, a system for storing and analyzing business data. It uses a server-side catalogue, so it remains accurate while an Excel workbook is open.

In plain words
What is it for?
Use it to list tables, inspect one table's schema and summary, or find distinct values for a field.
Why use it?
It lets you check available data and table structure before building an analysis, without guessing from the workbook.

Command

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/datarails/dr-claude-code-plugins-re/explore-tables
Clone the repo
git clone --depth 1 https://github.com/Datarails/dr-claude-code-plugins-re
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 152 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.00152
Opus 5 $0.00015 $0.00076
Sonnet 5 $0.00006 $0.00030
Haiku 4.5 $0.00003 $0.00015

Measured 2d ago against content hash be3560d70673, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

explore-tables 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 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.

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.

commands/explore-tables.md · 16 lines

What it actually says

Explore Your Data

This command is a thin launcher — the single maintained table-exploration recipe lives in the datarails-financeos:tables skill. Do not improvise workflow steps here.

Invoke the datarails-financeos:tables skill with whatever the user passed:

  • no args → list all available tables (id, name, alias)
  • <table_id> → schema and summary for one table
  • --schema → detailed schema view
  • --field <name> → distinct values for a specific field
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. 2d ago First seen · 16 lines · 30 tokens per session scan A be3560d70673

Subscribe to this mod's changes

explore-tables is a command published in the GitHub repository Datarails/dr-claude-code-plugins-re (3 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 152 once invoked, about $0.0002 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.