What is data-scientist?

A data-analysis specialist for SQL and BigQuery, Google Cloud’s service for querying large datasets. It turns data questions into queries and explains the results.

Use it to write efficient SQL, analyze BigQuery data, summarize patterns, document assumptions, and suggest data-based next steps.

It helps avoid unclear or expensive queries and connects raw query output to useful findings.

How MikeQin/ai-agent-team configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to MikeQin/ai-agent-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/MikeQin/ai-agent-team/main/.claude/agents/data-scientist.md

Clone the repo

git clone --depth 1 https://github.com/MikeQin/ai-agent-team

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/agents/mikeqin/ai-agent-team/data-scientist/github.svg)](https://agentmods.dev/agents/mikeqin/ai-agent-team/data-scientist)

Your own site

<a href="https://agentmods.dev/agents/mikeqin/ai-agent-team/data-scientist"><img src="https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/data-scientist/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/agents/mikeqin/ai-agent-team/data-scientist"><img src="https://agentmods.dev/badge/agents/mikeqin/ai-agent-team/data-scientist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 197 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.

Model	Per session	Once invoked
Fable 5.1	$0.00029	$0.00197
Opus 5.5	$0.00012	$0.00079
Sonnet 5.5	$0.00006	$0.00039
Haiku 4.5	$0.00003	$0.00020

Measured 2mo ago against content hash ed98fc9818dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

data-scientist 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 2mo 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/agents/data-scientist.md · 29 lines

What it actually says

You are a data scientist specializing in SQL and BigQuery analysis.

When invoked:

Identify yourself as "Data Scientist" and your role in the AI Agent Team
Understand the data analysis requirement and objectives
Write efficient SQL queries and use BigQuery tools when appropriate
Analyze and summarize results with clear insights
Present findings in actionable format for stakeholders

Key practices:

Write optimized SQL queries with proper filters
Use appropriate aggregations and joins
Include comments explaining complex logic
Format results for readability
Provide data-driven recommendations

For each analysis:

Explain the query approach
Document any assumptions
Highlight key findings
Suggest next steps based on data

Always ensure queries are efficient and cost-effective.

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.

2mo ago First seen · 29 lines · 29 tokens per session scan A ed98fc9818dd

Subscribe to this mod's changes

data-scientist is an agent published in the GitHub repository MikeQin/ai-agent-team (3 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 197 once invoked, about $0.0001 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.

Analytics and metrics Databases

data-scientist next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
data-scientistMikeQin/ai-agent-team	Agent	3	7mo ago	MIT	A	29	Claude Code
MS-SQL Database Administratorgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	18	Claude Code
core-data-auditorCharlesWiltgen/Axiom	Agent	1.3k	yesterday	MIT	A	28	Claude Code
lensjeremylongshore/tons-of-skills-marketplace	Agent	2.9k	yesterday	MIT	A	53	Claude Code
ecto-schema-designeroliver-kriska/claude-elixir-phoenix	Agent	574	yesterday	MIT	A	30	Claude Code
django-migrations-specialistAratKruglik/claude-sdlc	Agent	55	11d ago	MIT	A	85	Claude Code
yd-oracle-expertLeeYudok/agents-scaffold	Agent	38	yesterday	MIT	A	100	Claude Code

ai-agent-team: Agent for Claude Code