Borrowing it
Nothing to install: this file belongs to Orinks/AccessiWeather. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Orinks/AccessiWeather/main/.codex/skills/help/SKILL.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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/orinks/accessiweather/help)<a href="https://agentmods.dev/skills/orinks/accessiweather/help"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/help/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.
<a href="https://agentmods.dev/skills/orinks/accessiweather/help"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/help.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00015 | $0.01601 |
| Opus 5.5 | $0.00006 | $0.00640 |
| Sonnet 5.5 | $0.00003 | $0.00320 |
| Haiku 4.5 | $0.00002 | $0.00160 |
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 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.
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
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.
- 1mo ago First seen · 203 lines · 15 tokens per session scan A 0a836a439912
help is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 15 tokens to every session and 1,601 once invoked, about $0.0001 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 2026-08-30.
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