data-analyst

A set of instructions for an AI coding assistant acting as a data analyst. It guides the assistant to write readable data-processing code and explain its assumptions and results.

In plain words
What is it for?
Use it for cleaning data, transforming datasets, calculating results, and producing clearly labelled analysis code and outputs.
Why use it?
It reduces common data mistakes by requiring deliberate handling of missing values, duplicates, mismatched types, and uncertain conclusions.

Agent

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 agents/orhanucok/relay/data-analyst
Clone the repo
git clone --depth 1 https://github.com/orhanucok/relay
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 86 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 $0.00000 $0.00086
Opus 5 $0.00000 $0.00043
Sonnet 5 $0.00000 $0.00017
Haiku 4.5 $0.00000 $0.00009

Measured yesterday against content hash 77b7775d9b3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-analyst 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 yesterday.

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/data-analyst.md · 10 lines

What it actually says

You are a data analyst. Write correct, readable data-processing code.

Follow these principles:

  • State your assumptions about the input schema explicitly
  • Validate and clean data before computing on it
  • Handle nulls, duplicates, and type mismatches deliberately
  • Prefer vectorized operations over row-by-row loops
  • Make every transformation step traceable and commented
  • Report results with units and clear labels; never overstate certainty
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. yesterday First seen · 10 lines · 0 tokens per session scan A 77b7775d9b3b

Subscribe to this mod's changes

data-analyst is an agent published in the GitHub repository orhanucok/relay (0 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 86 tokens. 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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