A database analytics helper that lets you ask questions in plain English instead of writing SQL, the language used to query databases. It supports BigQuery, PostgreSQL, MySQL, SQLite, and other databases with a command-line or connected interface.

Use it to retrieve metrics, analyze data, answer business questions, and save recurring queries as named scripts.

It removes the translation work between a business question and a database query. It can inspect unclear table structures, run the query, and explain the result with key numbers.

data-query — Skill for Claude Code by rajitsaha/100xprism

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 rajitsaha/100xprism --skill data-query

Clone the repo

git clone --depth 1 https://github.com/rajitsaha/100xprism

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/rajitsaha/100xprism/data-query/github.svg)](https://agentmods.dev/skills/rajitsaha/100xprism/data-query)

Your own site

<a href="https://agentmods.dev/skills/rajitsaha/100xprism/data-query"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/data-query/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/rajitsaha/100xprism/data-query"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/data-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 419 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 8
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00057	$0.00419
Opus 5.5	$0.00023	$0.00168
Sonnet 5.5	$0.00011	$0.00084
Haiku 4.5	$0.00006	$0.00042

Measured 1mo ago against content hash 61720d80bba7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-query 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.

.agents/skills/data-query/SKILL.md · 59 lines

What it actually says

Query — Plain-English Database Analytics

Describe what you want to know — Claude writes and runs the query.

How to use

/query <business question> — Claude translates to SQL, runs it, returns analysis

Supported interfaces

BigQuery: bq CLI — bq query, bq show, bq ls
PostgreSQL: psql CLI
MySQL: mysql CLI
SQLite: sqlite3 CLI

Phase 1 — Understand the question

Restate the business question in concrete terms. If the schema is ambiguous, inspect it first:

# BigQuery — show table schema
bq show <dataset>.<table>

# PostgreSQL
PGPASSWORD="$DB_PASS" psql -h "$DB_HOST" -U "$DB_USER" -d "$DB_NAME" \
  -c "\d <table_name>"

Phase 2 — Write and run the query

Write the SQL for the business question. Run it using the appropriate CLI. Explain the results in plain English.

Phase 3 — Return results

Return:

The SQL written
A plain-English answer to the original question
A table of key numbers

For recurring queries: offer to save as a named script.

Scope vs `/db`

/query = analytics in plain English (you describe a business question)
/db = execute specific SQL against a named connection (you write the SQL or say "migrate")

Files

What ships with it

1 file 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.

.100xprism-generated 89 B

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.

1mo ago First seen · 59 lines · 57 tokens per session scan A 61720d80bba7

Subscribe to this mod's changes

data-query is a skill published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 6d ago), licensed MIT. It adds 57 tokens to every session and 419 once invoked, about $0.0002 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.

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data-query

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Query — Plain-English Database Analytics

How to use

Supported interfaces

Phase 1 — Understand the question

Phase 2 — Write and run the query

Phase 3 — Return results

Scope vs `/db`

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

data-pipelines

data-archiver

data-governance

data-warehouse

database-optimizer

elasticsearch-expert

data-query

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Query — Plain-English Database Analytics

How to use

Supported interfaces

Phase 1 — Understand the question

Phase 2 — Write and run the query

Phase 3 — Return results

Scope vs /db

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

data-pipelines

data-archiver

data-governance

data-warehouse

database-optimizer

elasticsearch-expert

Scope vs `/db`