gptadmin_opensource: Skill for Claude Code

.opencode/skills/swarm-pr-review/SKILL.md

swarm-pr-review is a skill for Claude Code, OpenCode from megamen32/gptadmin_opensource. It costs 59 tokens per session (16,140 once invoked), scanned A, original, AGPL-3.0.

A structured process for reviewing pull requests, which are proposed code changes, with several automated review paths and independent checks.

In plain words
What is it for?
Use it for detailed pull request reviews, checking changes across a codebase and validating possible findings.
Why use it?
It helps find more real problems while reducing incorrect warnings. Parallel exploration and reviewer challenges make deep reviews easier to carry out consistently.

Skill for Claude CodeOpenCode

Written for Claude Code and OpenCode: disable-model-invocation in frontmatter, but also installed under .opencode/.

This is megamen32/gptadmin_opensource's own configuration. It tells Claude Code and OpenCode how to work on gptadmin_opensource itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gptadmin_opensource configures →

Reuse

Borrowing it

Nothing to install: this file belongs to megamen32/gptadmin_opensource. 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/megamen32/gptadmin_opensource/main/.opencode/skills/swarm-pr-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/megamen32/gptadmin_opensource

Made for: Claude Code, OpenCode.

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 swarm-pr-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/megamen32/gptadmin_opensource/swarm-pr-review/github.svg)](https://agentmods.dev/skills/megamen32/gptadmin_opensource/swarm-pr-review)
Your own site
<a href="https://agentmods.dev/skills/megamen32/gptadmin_opensource/swarm-pr-review"><img src="https://agentmods.dev/badge/skills/megamen32/gptadmin_opensource/swarm-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 swarm-pr-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/megamen32/gptadmin_opensource/swarm-pr-review"><img src="https://agentmods.dev/badge/skills/megamen32/gptadmin_opensource/swarm-pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 16,140 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 $0.00059 $0.16140
Opus 5 $0.00030 $0.08070
Sonnet 5 $0.00012 $0.03228
Haiku 4.5 $0.00006 $0.01614

Measured 9d ago against content hash e24e1e8708d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

swarm-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 9d 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.

.opencode/skills/swarm-pr-review/SKILL.md · 1,453 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

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. 9d ago First seen · 1,453 lines · 59 tokens per session scan A e24e1e8708d4

Subscribe to this mod's changes

swarm-pr-review is a skill published in the GitHub repository megamen32/gptadmin_opensource (10 stars, last pushed 3d ago), licensed AGPL-3.0. It adds 59 tokens to every session and 16,140 once invoked, about $0.0003 per session on Opus 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.