help

A help guide for OMX, a system that routes coding requests into different work modes. It explains when plain-language requests may receive advisory guidance and how explicit keywords control routing.

In plain words
What is it for?
Use it to understand OMX’s routing behavior, available work lanes, explicit commands, and ways to request planning, implementation, research, or UI help.
Why use it?
It clarifies what OMX may do automatically, such as suggesting specialist agents or planning and verification workflows. It also explains how to opt out when you want a simple answer.

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/orinks/accessiweather/help
Any agent
npx skills add Orinks/AccessiWeather --skill help
Clone the repo
git clone --depth 1 https://github.com/Orinks/AccessiWeather

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,601 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 $0.00015 $0.01601
Opus 5 $0.00008 $0.00800
Sonnet 5 $0.00003 $0.00320
Haiku 4.5 $0.00002 $0.00160

Measured 2d ago against content hash 0a836a439912, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

help 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 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.

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.

.codex/skills/help/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

How OMX Works

Plain English works as best-effort guidance — OMX inspects each prompt and may add advisory routing context to steer the model toward a suitable lane. This is advisory prompt-routing context: it does not activate a skill or workflow by itself. Explicit keywords remain the deterministic control surface when you want exact, guaranteed routing.

Triage lanes (when no keyword matches): complex/multi-step prompts may receive HEAVY guidance (autopilot-shaped); repo-local read-only lookups receive LIGHT/explore guidance; implementation work receives LIGHT/executor guidance; UI work receives LIGHT/designer guidance; external official-doc/reference/source-backed lookup receives LIGHT/researcher guidance; simple conversational prompts receive no injection (PASS). To opt out per prompt, include a phrase such as no workflow, just chat, or plain answer.

What Happens Automatically

When You... I Automatically...
Give me a complex task Parallelize and delegate to specialist agents
Ask me to plan something Start a planning interview
Need something done completely Persist until verified complete
Work on UI/frontend Activate design sensibility
Say "stop" or "cancel" Intelligently stop current operation

Magic Keywords (Optional Shortcuts)

You can include these words naturally in your request for explicit control:

Keyword Effect Example
ralph Persistence mode "ralph: fix all the bugs"
ralplan Iterative planning "ralplan this feature"
ulw Max parallelism "ulw refactor the API"
plan Planning interview "plan the new endpoints"

ralph includes ultrawork: When you activate ralph mode, it automatically includes ultrawork's parallel execution. No need to combine keywords.

Stopping Things

Just say:

  • "stop"
  • "cancel"
  • "abort"

I'll figure out what to stop based on context.

First Time Setup

Read the full file on GitHub · 203 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. 2d ago First seen · 203 lines · 15 tokens per session scan A 0a836a439912

Subscribe to this mod's changes

help is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 8d ago), licensed MIT. It adds 15 tokens to every session and 1,601 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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