review-pr

review-pr is a command for Claude Code from brendancol/xarray-spatial-skills. It costs 0 tokens per session (2,948 once invoked), scanned A, original, no licence file.

A pull-request review command for a geospatial raster library using NumPy, Dask, CuPy, and Numba. A pull request is a proposed set of code changes submitted for review.

In plain words
What is it for?
Use it to review a pull request for issues in raster processing code built with those technologies.
Why use it?
It focuses the review on checks relevant to this library and its numerical-computing tools.

Command for Claude Code

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/brendancol/xarray-spatial-skills/review-pr
Clone the repo
git clone --depth 1 https://github.com/brendancol/xarray-spatial-skills

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.

agentmods badge for review-pr

README.md
[![agentmods](https://agentmods.dev/badge/commands/brendancol/xarray-spatial-skills/review-pr.svg)](https://agentmods.dev/commands/brendancol/xarray-spatial-skills/review-pr)
Your own site
<a href="https://agentmods.dev/commands/brendancol/xarray-spatial-skills/review-pr"><img src="https://agentmods.dev/badge/commands/brendancol/xarray-spatial-skills/review-pr.svg" alt="Measured on agentmods" height="20"></a>
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 2,948 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00000 $0.02948
Opus 5 $0.00000 $0.01474
Sonnet 5 $0.00000 $0.00590
Haiku 4.5 $0.00000 $0.00295

Measured 5d ago against content hash e1bf187e5032, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review-pr 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 5d 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/commands/review-pr.md · 303 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. 5d ago First seen · 303 lines · 0 tokens per session scan A e1bf187e5032

Subscribe to this mod's changes

review-pr is a command published in the GitHub repository brendancol/xarray-spatial-skills (3 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,948 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.