omh-v18-loop-taxonomy

omh-v18-loop-taxonomy is a skill for Claude Code, Codex from witt3rd/oh-my-hermes. It costs 38 tokens per session (1,277 once invoked), scanned A, original, MIT.

A design reference for classifying repeated agent workflows into defined loop types. It explains how OMH skills map to loops such as measuring and revising, reaching agreement, executing tasks, searching for information, asking for clarification, or selecting the best candidate.

In plain words
What is it for?
Use it when designing or implementing agent workflows and deciding whether a process needs consensus, task execution, information seeking, clarification, selection, batching, or a one-time run.
Why use it?
It gives each workflow clear rules for how iterations end, what results they produce, and what settings they need. OMH is the name of the agent system described by the source.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when designing or implementing agent workflows and deciding whether a process needs consensus, task execution, information seeking, clarification, selection, batching, or a one-time run.

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Install with agentmods
npx agentmods add skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy
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.

Any agent
npx skills add witt3rd/oh-my-hermes --skill omh-v18-loop-taxonomy
Clone the repo
git clone --depth 1 https://github.com/witt3rd/oh-my-hermes

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 omh-v18-loop-taxonomy

README.md
[![agentmods](https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy/github.svg)](https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy)
Your own site
<a href="https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy/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 omh-v18-loop-taxonomy

Your own site · 80×15
<a href="https://agentmods.dev/skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy"><img src="https://agentmods.dev/badge/skills/witt3rd/oh-my-hermes/omh-v18-loop-taxonomy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,277 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 $0.00038 $0.01277
Opus 5.5 $0.00015 $0.00511
Sonnet 5.5 $0.00008 $0.00255
Haiku 4.5 $0.00004 $0.00128

Measured 1mo ago against content hash 84285e1e9d44, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

omh-v18-loop-taxonomy 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 1mo 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.

plugins/omh/skills/omh-v18-loop-taxonomy/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OMH v18 Loop Taxonomy

The loop taxonomy lives in Saturate and OMH maps to it. Every OMH skill is an instance of a Saturate loop kind. The kind determines iteration semantics, turn result types, terminal states, and spec schema.

Source of truth: ~/src/witt3rd/saturate/ARCHITECTURE.md (Loop Taxonomy section) OMH architecture: ~/src/witt3rd/oh-my-hermes/docs/v18/architecture.md


The Six Loop Kinds

class MetricOptimizationKind(LoopKind): pass  # hypothesis → measure → keep/revert
class ConsensusKind(LoopKind):          pass  # agents deliberate until agreement
class TaskExecutionKind(LoopKind):      pass  # tasks executed until plan verified
class InformationSeekingKind(LoopKind): pass  # search until gaps close
class ClarificationKind(LoopKind):
    HUMAN_GATED: ClassVar[bool] = True        # ONLY human complete() ends this
class SelectionKind(LoopKind):          pass  # spawn N candidates, keep top-k, repeat

Plus structural (non-loop) kinds: BatchKind (fan-out/synthesize), OnceKind (single execution).


OMH Skill → Loop Kind Mapping

OMH Skill Saturate LoopKind Notes
omh-ralplan ConsensusKind Planner/Architect/Critic until AllApprove
omh-ralph TaskExecutionKind Tasks executed until plan verified complete
omh-autopilot TaskExecutionKind Multi-phase pipeline
omh-deep-research InformationSeekingKind Search until gaps close
omh-deep-interview ClarificationKind (HUMAN_GATED) NO queue backend
omh-triage BatchKind Fan-out, no loop state
omh-autoresearch (Arc 2) MetricOptimizationKind Future
Future evolutionary SelectionKind Future

ClarificationKind.HUMAN_GATED is structural

The scheduler NEVER marks a ClarificationKind task terminal. There is no should_terminate overload for it. Only an explicit human complete() call ends it. This is a type property, not configuration.

Read the full file on GitHub · 140 lines

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. 1mo ago First seen · 140 lines · 38 tokens per session scan A 84285e1e9d44

Subscribe to this mod's changes

omh-v18-loop-taxonomy is a skill published in the GitHub repository witt3rd/oh-my-hermes (373 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,277 once invoked, about $0.0002 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 2026-09-28.

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