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omni-kyoto-noaa-smoke-workflows

omni-kyoto-noaa-smoke-workflows is a skill for Claude Code, Codex from spedas/spedas_agent_kit. It costs 53 tokens per session (2,252 once invoked), scanned A, original, MIT.

A guided workflow for adding solar-wind and geomagnetic-index context to a space-weather analysis. Geomagnetic indices such as Dst, AE, and Kp summarize disturbances in Earth’s magnetic environment.

In plain words
What is it for?
Use it to prepare cached smoke tests or short context bundles containing solar-wind data and Dst, AE, or Kp measurements. It also guides loading data from OMNI, Kyoto, and NOAA sources.
Why use it?
It removes the guesswork from choosing datasets and parameters for a quick, reproducible check of space-weather conditions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

not rated 3repo 1mo ago A scan 53 tokens original MIT

Good fit Use it to prepare cached smoke tests or short context bundles containing solar-wind data and Dst, AE, or Kp measurements. It also guides loading data from OMNI, Kyoto, and NOAA sources.

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Install with agentmods
npx agentmods add skills/spedas/spedas_agent_kit/omni-kyoto-noaa-smoke-workflows
View source ↗ spedas/spedas_agent_kit
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 spedas/spedas_agent_kit --skill omni-kyoto-noaa-smoke-workflows
Clone the repo
git clone --depth 1 https://github.com/spedas/spedas_agent_kit

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 omni-kyoto-noaa-smoke-workflows

README.md
[![agentmods](https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/omni-kyoto-noaa-smoke-workflows/github.svg)](https://agentmods.dev/skills/spedas/spedas_agent_kit/omni-kyoto-noaa-smoke-workflows)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/omni-kyoto-noaa-smoke-workflows"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/omni-kyoto-noaa-smoke-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,252 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 $0.00053 $0.02252
Opus 5 $0.00026 $0.01126
Sonnet 5 $0.00011 $0.00450
Haiku 4.5 $0.00005 $0.00225

Measured 11d ago against content hash 1c7932c64333, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

omni-kyoto-noaa-smoke-workflows 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 11d 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.

.agents/plugins/spedas-codex/skills/omni-kyoto-noaa-smoke-workflows/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OMNI / Kyoto / NOAA smoke workflows

Use this skill when the user asks for a fast space-weather context bundle, a geomagnetic-index smoke test, or a bounded preflight around solar-wind + Dst/AE/Kp indices. It turns the PySPEDAS OMNI/Kyoto/NOAA loaders and IDL-SPEDAS overview habits into a reproducible Agent Kit workflow without adding mission-specific MCP tools.

Compose it with:

  • overview-geomagnetic-indices for intent-to-dataset and parameter names.
  • pyspedas-load-planning for trange, time_clip=True, cache, downloadonly, notplot, no_update, and variable-selection hygiene.
  • tplot-data-lifecycle before plotting/exporting tplot variables.

MCP/default-surface boundary

This skill adds no MCP tool. Keep the default Agent Kit list_tools surface compact. Loader names below are external PySPEDAS runtime routes, not Agent Kit MCP names:

external_runtime_route:
  not_an_mcp_tool: true
  examples:
    - pyspedas.projects.omni.data
    - pyspedas.projects.kyoto.dst
    - pyspedas.projects.kyoto.load_ae
    - pyspedas.projects.kyoto.load_geomagnetic_indices
    - pyspedas.projects.noaa.noaa_load_kp

An MCP-only client should never call an invented load_omni, kyoto_dst, load_ae, or noaa_load_kp tool. Use MCP resources and the unified data verbs:

  1. create_spedas_analysis_bundle(...) for output_dir and provenance/run.json.
  2. spedas_overview() and read spedas-skill://skills/overview-geomagnetic-indices if the index intent is unclear.
  3. browse_data_sources(source_type="cdaweb", query="OMNI") or search_spedas_data_sources(...).
  4. load_data_source(source_type="cdaweb", source_id=...), browse_data_parameters(...), then fetch_data_product(...) for a bounded dataset/parameter/time range.
  5. If exact Kyoto WDC or NOAA/GFZ loader behavior is required, record it as an external runtime requirement instead of expanding the MCP surface.

Fast workflow cards

1. MCP-first OMNI storm / quiet-time context

Read the full file on GitHub · 164 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. 11d ago First seen · 164 lines · 53 tokens per session scan A 1c7932c64333

Subscribe to this mod's changes

omni-kyoto-noaa-smoke-workflows is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 2,252 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 2026-08-31.

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