What is themis-workflows?

A workflow guide for analysing data from THEMIS, a NASA mission that studies Earth's magnetosphere using several spacecraft. It connects mission-specific questions to existing analysis tools and data loaders.

Use it to plan studies of magnetic storms, substorms, magnetotail boundaries, spacecraft position, particles, and waves, including checks before loading or exporting data.

It helps plan the right analysis steps without adding a separate tool for every type of THEMIS data source.

themis-workflows — Skill for Claude Code and Codex by spedas

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 themis-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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/themis-workflows/github.svg)](https://agentmods.dev/skills/spedas/spedas_agent_kit/themis-workflows)

Your own site

<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/themis-workflows"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/themis-workflows/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/themis-workflows"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/themis-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,081 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.

Model	Per session	Once invoked
Fable 5.1	$0.00048	$0.03081
Opus 5.5	$0.00019	$0.01232
Sonnet 5.5	$0.00010	$0.00616
Haiku 4.5	$0.00005	$0.00308

Measured 1mo ago against content hash 02d96280afa7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

themis-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 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.

.agents/plugins/spedas-codex/skills/themis-workflows/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

THEMIS workflows

Use this skill when the user asks for a THEMIS mission workflow, a THEMIS substorm/dipolarization route scout, a THEMIS magnetotail boundary/current-sheet context bundle, or a THEMIS FGM/state/particle/wave preflight. This is a router skill: it connects THEMIS mission vocabulary to existing Agent Kit analysis skills and external PySPEDAS loaders without creating one MCP tool per loader.

Compose it with:

overview-geomagnetic-indices for quick THEMIS FGM/ESA/SST/SSC overview routing and OMNI/Kyoto/NOAA storm-index context.
spedas-workflow and multi-spacecraft-gradients for magnetotail boundary, current-sheet, and multi-probe route-scouts.
boundary-minimum-variance, model-lmn-boundary, apply-rotation-matrix, and hodogram for LMN/MVA handoffs after a real boundary interval exists.
wave-polarization for THEMIS SCM scf / scp / scw valid-window checks.
neutral-sheet-distance and field-line-footpoint when state/orbit products are needed for tail geometry or ionospheric mapping.
pyspedas-load-planning and tplot-data-lifecycle for loader/cache/tplot hygiene.

MCP/default-surface boundary

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

external_runtime_route:
  not_an_mcp_tool: true
  examples:
    - pyspedas.projects.themis.load
    - pyspedas.projects.themis.fgm
    - pyspedas.projects.themis.fit
    - pyspedas.projects.themis.state
    - pyspedas.projects.themis.ssc
    - pyspedas.projects.themis.ssc_pre
    - pyspedas.projects.themis.esa
    - pyspedas.projects.themis.esd
    - pyspedas.projects.themis.sst
    - pyspedas.projects.themis.mom
    - pyspedas.projects.themis.gmom
    - pyspedas.projects.themis.scm
    - pyspedas.projects.themis.efi
    - pyspedas.projects.themis.gmag
    - pyspedas.projects.themis.ask

Do not invent MCP tools such as themis_fgm, themis_state, load_themis, themis_esa, themis_sst, or themis_scm. MCP-only clients should use the resource/plan/fetch verbs:

Read the full file on GitHub · 261 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.

1mo ago First seen · 261 lines · 48 tokens per session scan A 02d96280afa7

Subscribe to this mod's changes

themis-workflows is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 3,081 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 2026-08-31.

Scientific

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens