pr-review

pr-review is a skill for Claude Code, Codex from zerx-lab/FluxDown. It costs 153 tokens per session (3,602 once invoked), scanned A, original, AGPL-3.0.

A procedure for reviewing and merging GitHub pull requests, which are proposed code changes shared for review. It checks functionality, performance, and completeness, then fixes or rejects issues according to their severity.

In plain words
What is it for?
It is for reviewing contributors' pull requests, commenting or closing them when needed, making small repairs, pushing fixes, and merging acceptable changes.
Why use it?
It gives maintainers a defined way to handle incorrect implementations, small fixes, missing tests, formatting problems, and merge conflicts. It also isolates the work and cleans up the temporary checkout afterward.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for reviewing contributors' pull requests, commenting or closing them when needed, making small repairs, pushing fixes, and merging acceptable changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zerx-lab/fluxdown/pr-review
About the project

FluxDown is a free, open-source download manager built with Rust that handles web downloads, FTP, BitTorrent, eD2K, and HLS or DASH streams. It is for people who want resumable, browser-integrated downloads with a local desktop interface, and its built-in MCP server lets AI clients manage those downloads.

zerx-lab/FluxDown · 5,039 stars · on GitHub · fluxdown.com

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 zerx-lab/FluxDown --skill pr-review
Clone the repo
git clone --depth 1 https://github.com/zerx-lab/FluxDown

Made for: Claude Code, Codex.

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 pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/zerx-lab/fluxdown/pr-review/github.svg)](https://agentmods.dev/skills/zerx-lab/fluxdown/pr-review)
Your own site
<a href="https://agentmods.dev/skills/zerx-lab/fluxdown/pr-review"><img src="https://agentmods.dev/badge/skills/zerx-lab/fluxdown/pr-review/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.

agentmods 80×15 button for pr-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/zerx-lab/fluxdown/pr-review"><img src="https://agentmods.dev/badge/skills/zerx-lab/fluxdown/pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,602 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 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 5.1 $0.00153 $0.03602
Opus 5.5 $0.00061 $0.01441
Sonnet 5.5 $0.00031 $0.00720
Haiku 4.5 $0.00015 $0.00360

Measured 2d ago against content hash 4ef7a4215d4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-review 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pr.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.omp/skills/pr-review/SKILL.md · 169 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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.

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 Changed 4ef7a4215d4c
  2. 4d ago Changed 444be9473a34
  3. 16d ago Changed d5758e3ae880
  4. 19d ago First seen · 169 lines · 153 tokens per session scan A d25f2ae85b6f

Subscribe to this mod's changes

pr-review is a skill published in the GitHub repository zerx-lab/FluxDown (5,039 stars, last pushed today), licensed AGPL-3.0. It adds 153 tokens to every session and 3,602 once invoked, about $0.0006 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 2026-10-08.