Ralph Orchestrator is a framework that repeatedly runs AI-agent tasks until they finish or reach an iteration limit. Developers use it to coordinate autonomous coding work through command-line, web-dashboard, and MCP-server interfaces, with state managed per workspace. The catalogue entries provide agent skills, agents, instructions, and plugins for operating Ralph.
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.
npx skills add mikeyobrien/ralph-orchestrator --skill ralph-loopgit clone --depth 1 https://github.com/mikeyobrien/ralph-orchestratorWrote 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/mikeyobrien/ralph-orchestrator/ralph-loop)<a href="https://agentmods.dev/skills/mikeyobrien/ralph-orchestrator/ralph-loop"><img src="https://agentmods.dev/badge/skills/mikeyobrien/ralph-orchestrator/ralph-loop.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00054 | $0.00455 |
| Opus 5 | $0.00027 | $0.00228 |
| Sonnet 5 | $0.00011 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
ralph-loop 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 7d 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.
What it actually says
Ralph Loop
Use this skill to operate Ralph loops from the outside.
Use This Skill For
- Starting or continuing a Ralph run with the right
-cand-Hinputs - Inspecting loop state, worktrees, logs, history, and diffs
- Resuming a hook-suspended loop
- Merging or discarding completed worktree loops
- Debugging unexpected loop behavior with current diagnostics files
Workflow
- Start with
ralph loops listorralph loops list --jsonto establish the current state. - If the user wants execution, run
ralph run ...with the right core config and hats source. - If the loop is stuck or suspicious, inspect
logs,history, anddiffbefore changing state. - If the loop is suspended, read
.ralph/suspend-state.jsonand useralph loops resume <id>. - If a loop is queued or in
needs-review, inspect the diff first, then usemerge,process,retry, ordiscardas appropriate. - Use diagnostics when you need detailed evidence about hats, events, tool calls, parse errors, or performance.
Guardrails
- Prefer the CLI over direct edits to
.ralphstate files. - Treat tasks and memories as the canonical runtime systems; do not center scratchpad as the primary state model.
- Inspect diffs before merging.
- Only remove lock or queue artifacts when the underlying process is confirmed dead.
- Manual edits under
.ralph/are last-resort recovery steps and should be called out explicitly when used.
Read These References When Needed
- For command recipes and operator flows:
references/commands.md - For diagnostics files and suspend-state details:
references/diagnostics.md
What ships with it
3 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.
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.
- 7d ago First seen · 48 lines · 54 tokens per session scan A 0d4a71e5f07d
ralph-loop is a skill published in the GitHub repository mikeyobrien/ralph-orchestrator (3,126 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 455 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 2026-08-30.
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