RomM is a self-hosted application for organizing, enriching, browsing, and playing video game ROM collections. Emulator users use it to manage games across many platforms, add metadata and artwork, and play supported titles in a browser.
Borrowing it
Nothing to install: this file belongs to rommapp/romm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rommapp/romm/master/.claude/skills/review-polish/SKILL.mdgit clone --depth 1 https://github.com/rommapp/rommWrote 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.
[](https://agentmods.dev/skills/rommapp/romm/review-polish)<a href="https://agentmods.dev/skills/rommapp/romm/review-polish"><img src="https://agentmods.dev/badge/skills/rommapp/romm/review-polish/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.
<a href="https://agentmods.dev/skills/rommapp/romm/review-polish"><img src="https://agentmods.dev/badge/skills/rommapp/romm/review-polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00163 | $0.03864 |
| Opus 5.5 | $0.00065 | $0.01546 |
| Sonnet 5.5 | $0.00033 | $0.00773 |
| Haiku 4.5 | $0.00016 | $0.00386 |
Grade A, and why
review-polish 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 4d 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.
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.
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.
- 4d ago Changed 11cef9e8c647
- 22d ago Changed edeabe97c4bb
- 26d ago Changed · -1 lines 911db0ff90b7
- 27d ago Changed 81057d6b6d48
- 1mo ago Changed 89f694bb4518
- 1mo ago Changed · +15 lines · +163 tokens per session 910bb2a8b9f4
- 1mo ago Changed · +1 lines a1748886d08b
- 1mo ago Changed · +1 lines 0d2e773f14bb
- 1mo ago Changed · +13 lines 6a96fb6f7de9
- 1mo ago First seen · 269 lines · 0 tokens per session scan A bd99df7e26a1
review-polish is a skill published in the GitHub repository rommapp/romm (14,134 stars, last pushed today), licensed AGPL-3.0. It adds 163 tokens to every session and 3,864 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
cn-check
Install and run the Continue CLI (cn) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
experiment-tracking-swanlab
Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
observal-admin
Administers Observal users, settings, diagnostics, review queues, security events, audit logs, SAML, SCIM, the local Observal server, its upgrades and rollback, and its own PostgreSQL and ClickHouse schema migrations. Use when the user needs privileged governance, submission decisions, identity configuration, security…
pod-chat-tone
In-product voice rewrite for agents posting to Commonly pods — kills the report-in-a-chatbox shape (bold-lead sentences, ✅/❌ ladders, em-dash density, mirror clauses, self-narration of one's own reasoning) that makes agent rooms unreadable to the humans they are for. Mandatory pre-post pass on every pod message.…
github
Interact with GitHub (issues, PRs, repos, releases) using the gh CLI. Use when asked to read or write GitHub state — open an issue, fetch PR diff, comment, list runs, etc.