loop-engineering

loop-engineering is a skill for Claude Code, Codex from alvinunreal/oh-my-opencode-slim. It costs 10 tokens per session (325 once invoked), scanned A, original, MIT.

A workflow for running an engineering task repeatedly until a defined check succeeds. It combines an interview about the goal with an executor and a verifier, such as a test, build, lint check, command, or human review.

In plain words
What is it for?
Use it for tasks verified by tests, builds, linting, commands, file existence, automated observers, or manual approval, with escalation when attempts fail.
Why use it?
It makes success explicit and tracks attempts, while allowing a separate check to confirm whether the work is complete.

Skill for Claude CodeCodex

About the project

oh-my-opencode-slim is a plugin that coordinates multiple specialized AI agents inside OpenCode, assigning codebase exploration, documentation research, architecture review, design, and implementation to different agents. It is for developers who want agent teams to divide and reconcile software-development work while mixing models from different providers. The catalogue entries are the plugin’s bundled agents, skills, and instruction.

alvinunreal/oh-my-opencode-slim · 8,600 stars · on GitHub

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/alvinunreal/oh-my-opencode-slim/loop-engineering
Any agent
npx skills add alvinunreal/oh-my-opencode-slim --skill loop-engineering
Clone the repo
git clone --depth 1 https://github.com/alvinunreal/oh-my-opencode-slim

Made for: Claude Code, Codex.

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 loop-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/loop-engineering.svg)](https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/loop-engineering)
Your own site
<a href="https://agentmods.dev/skills/alvinunreal/oh-my-opencode-slim/loop-engineering"><img src="https://agentmods.dev/badge/skills/alvinunreal/oh-my-opencode-slim/loop-engineering.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 325 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00010 $0.00325
Opus 5 $0.00005 $0.00162
Sonnet 5 $0.00002 $0.00065
Haiku 4.5 $0.00001 $0.00032

Measured 5d ago against content hash 551b298be29a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

loop-engineering 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 5d 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.

src/skills/loop-engineering/SKILL.md · 31 lines

What it actually says

Loop Engineering Skill

Grill (orchestrator interview)

  1. Goal: "What are you trying to accomplish?"
  2. Success criteria: "Describe how we know the loop succeeded."
  3. Success type: choose from test, build, lint, command, fileExists, oracle, observer, manual. For CLI steps provide successCommand; for file detection provide successPath.
  4. Execute agent: fixer / designer / explorer / librarian
  5. Verify agent: oracle / observer / test
  6. Max attempts (default 3)
  7. Optional context files: which files or directories should be read before execution?

Loop Monitor

  • Listen to callbacks:
    • onLoopComplete(loopID, success) → report final outcome
    • onEscalated(loopID, reason) → escalate to human
    • onManualReview(loopID, reason) → prompt human to approve/fail and call resolveManualReview(loopID, passed, reason)
  • Show current state and attempt count on each callback
  • For manual verification, present the failure reason before asking for pass/fail
  • If human forces cancellation, call cancel(loopID) through the orchestrator

Notes

  • Manual verification is the minimal on-ramp (autoresearch pattern). It pauses the loop until resolveManualReview is called. Do not auto-resolve.
  • BackgroundJobBoard signals (totalErrors, timeoutCount) are already baked into the runtime.
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. 5d ago First seen · 31 lines · 10 tokens per session scan A 551b298be29a

Subscribe to this mod's changes

loop-engineering is a skill published in the GitHub repository alvinunreal/oh-my-opencode-slim (8,600 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 325 once invoked, about $0.0001 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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