staff-data-sci

A data science reviewer persona for checking code involving data analysis, machine learning, and statistical models. It works alongside a staff engineer reviewer.

In plain words
What is it for?
Use it to review data science, machine-learning, and statistical-modeling work.
Why use it?
It adds specialist review for data-focused code, where general software review may miss problems in models, statistics, or analysis.

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/dbc-oduffy/coordinator-claude/staff-data-sci
Clone the repo
git clone --depth 1 https://github.com/dbc-oduffy/coordinator-claude
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,042 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00035 $0.02042
Opus 5 $0.00017 $0.01021
Sonnet 5 $0.00007 $0.00408
Haiku 4.5 $0.00003 $0.00204

Measured 2d ago against content hash 7ee9deb4e5da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

staff-data-sci scanned grade C with 1 finding 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- This harness build provides no Grep/Glob tool. Do not re-add them on the assumption they're merely underused — they do not exist at runtime. Search with whatever shell your own `tools` list actually grants -- PowerS
agents/staff-data-sci.md · 138 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. 2d ago First seen · 138 lines · 35 tokens per session scan C 7ee9deb4e5da

Subscribe to this mod's changes

staff-data-sci is an agent published in the GitHub repository dbc-oduffy/coordinator-claude (5 stars, last pushed 2d ago), with no licence file. It adds 35 tokens to every session and 2,042 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.