setup-opencode-ralph-rlm

A setup guide for adding Ralph RLM to an existing OpenCode project. It covers package installation, configuration, and checking the provider and worker loop connection.

In plain words
What is it for?
Use it to install, initialize, configure, or troubleshoot opencode-ralph-rlm in an OpenCode project.
Why use it?
It removes the need to remember the setup commands and manually check whether the generated configuration is wired correctly.

Skill for Claude CodeCodex

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 skills/doeixd/opencode-ralph-rlm/setup-opencode-ralph-rlm
Any agent
npx skills add doeixd/opencode-ralph-rlm --skill setup-opencode-ralph-rlm
Clone the repo
git clone --depth 1 https://github.com/doeixd/opencode-ralph-rlm

Made for: Claude Code, Codex.

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,970 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00089 $0.01970
Opus 5 $0.00044 $0.00985
Sonnet 5 $0.00018 $0.00394
Haiku 4.5 $0.00009 $0.00197

Measured 2d ago against content hash 7c4a1c7d78f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup-opencode-ralph-rlm scanned grade A with 1 finding 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.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Check readiness: `curl http://127.0.0.1:8787/api/health` — `supervisor.ready` should be `true` (it shows the resolved `model`, `source` e.g. `opencode-auth:google`, and the provider `version`). If unreachable, the prov
skills/setup-opencode-ralph-rlm/SKILL.md · 101 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

Files

What ships with it

4 files 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 First seen · 101 lines · 89 tokens per session scan A 7c4a1c7d78f9

Subscribe to this mod's changes

setup-opencode-ralph-rlm is a skill published in the GitHub repository doeixd/opencode-ralph-rlm (31 stars, last pushed 2mo ago), with no licence file. It adds 89 tokens to every session and 1,970 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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