opencode: Command for OpenCode

.opencode/command/rmslop.md

rmslop is a command for OpenCode from anomalyco/opencode. It costs 5 tokens per session (127 once invoked), scanned A, original, MIT.

A code-cleanup command that compares a branch with `dev` and removes unnecessary or inconsistent changes. A branch is a separate line of development in Git.

In plain words
What is it for?
Use it to review a branch diff, clean up unwanted additions, and receive a short summary of the changes made.
Why use it?
It helps remove code and comments that look machine-generated or do not fit the surrounding project style. It also avoids unnecessary error handling, unsafe casts, and decorative changes.

Command for OpenCode

Written for OpenCode: installed under .opencode/.

This is anomalyco/opencode's own configuration. It tells OpenCode how to work on opencode 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 opencode configures →

About the project

OpenCode is an open-source AI coding agent that helps developers work on software projects. It includes agents for full-access development, read-only exploration and planning, plus a general subagent for complex searches and multistep tasks; the catalogue add-ons extend its workflows.

anomalyco/opencode · 220,205 stars · on GitHub · opencode.ai

Reuse

Borrowing it

Nothing to install: this file belongs to anomalyco/opencode. 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/anomalyco/opencode/dev/.opencode/command/rmslop.md
Clone the repo
git clone --depth 1 https://github.com/anomalyco/opencode

Made for: 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 rmslop

README.md
[![agentmods](https://agentmods.dev/badge/commands/anomalyco/opencode/rmslop/github.svg)](https://agentmods.dev/commands/anomalyco/opencode/rmslop)
Your own site
<a href="https://agentmods.dev/commands/anomalyco/opencode/rmslop"><img src="https://agentmods.dev/badge/commands/anomalyco/opencode/rmslop/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 rmslop

Your own site · 80×15
<a href="https://agentmods.dev/commands/anomalyco/opencode/rmslop"><img src="https://agentmods.dev/badge/commands/anomalyco/opencode/rmslop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 127 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 original 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 $0.00005 $0.00127
Opus 5.5 $0.00002 $0.00051
Sonnet 5.5 $0.00001 $0.00025
Haiku 4.5 $0.00001 $0.00013

Measured 12d ago against content hash 5fd9332ca2f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rmslop 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 12d 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

  • rmslop — 100% identical, 2 lines differ
  • rmslop — 100% identical, 2 lines differ
  • rmslop — 100% identical, 2 lines differ
  • rmslop — 100% identical, 2 lines differ
.opencode/command/rmslop.md · 16 lines

What it actually says

Check the diff against origin/dev, and remove all AI generated slop introduced in this branch.

This includes:

  • Extra comments that a human wouldn't add or is inconsistent with the rest of the file
  • Extra defensive checks or try/catch blocks that are abnormal for that area of the codebase (especially if called by trusted / validated codepaths)
  • Casts to any to get around type issues
  • Any other style that is inconsistent with the file
  • Unnecessary emoji usage

Report at the end with only a 1-3 sentence summary of what you changed

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. 12d ago Changed 5fd9332ca2f8
  2. 1mo ago First seen · 16 lines · 5 tokens per session scan A 066e98156951

Subscribe to this mod's changes

rmslop is a command published in the GitHub repository anomalyco/opencode (220,205 stars, last pushed today), licensed MIT. It adds 5 tokens to every session and 127 once invoked, about $0.0000 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 2026-09-06.