What is mms-basic-workflows?

A routing guide for planning MMS spacecraft-data analyses, including magnetic fields, electric fields, plasma particles, spacecraft position, and wave measurements. MMS is a mission using four spacecraft to study Earth’s space environment and magnetic reconnection.

Use it to plan MMS overviews, magnetic-reconnection studies, orbit context, electric-field or wave investigations, particle surveys, and four-spacecraft preparation.

It helps select suitable data products and analysis routes while preserving variable names, time ranges, plotting choices, and spacecraft-specific context.

mms-basic-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 mms-basic-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/mms-basic-workflows/github.svg)](https://agentmods.dev/skills/spedas/spedas_agent_kit/mms-basic-workflows)

Your own site

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

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,824 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	$0.00043	$0.03824
Opus 5.5	$0.00017	$0.01530
Sonnet 5.5	$0.00009	$0.00765
Haiku 4.5	$0.00004	$0.00382

Measured 1mo ago against content hash 072a477e6a78, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mms-basic-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/mms-basic-workflows/SKILL.md · 306 lines

How it starts

The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MMS basic workflows

Use this skill when the user asks for an MMS mission overview, magnetic reconnection route scout, FGM/MEC orbit context, EDP electric-field/spacecraft-potential context, SCM wave context, FPI/HPCA particle overview, or MMS four-spacecraft preflight. This is a router skill: it connects MMS mission vocabulary to existing Agent Kit data/provenance tools, specialized analysis skills, and external PySPEDAS loaders without creating one MCP tool per MMS loader.

Compose it with:

pyspedas-load-planning for trange, probe, data_rate, level, datatype, time_clip=True, available=True, notplot, no_update, runtime CONFIG['download_only'], and run-scoped suffix hygiene.
tplot-data-lifecycle for variable naming, support-data choices, plotting, export, and cleanup without pasting arrays into chat.
spedas-heritage-vocabulary for IDL mms_load_* / PySPEDAS route translation.
spedas-workflow for existing MMS reconnection/EDR guardrails and the MMS magnetopause example; keep single-spacecraft current proxies labeled as proxies.
multi-spacecraft-gradients and dual-spacecraft-timing only after four MMS magnetic-field streams and four position streams pass cadence/frame checks.
magnetopause-lmn-analysis, boundary-minimum-variance, model-lmn-boundary, apply-rotation-matrix, and hodogram for LMN/MVA/FAC handoffs after a real boundary interval exists.
wave-polarization and power-spectral-density for SCM/FGM wave or spectral analysis; do not reimplement polarization logic here.
pitch-angle-distribution and particle-velocity-slice for particle products only when the exact FPI/HPCA distribution route, magnetic-field input, cadence, and calibration caveats are verified.

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.mms.fgm
    - pyspedas.projects.mms.mec
    - pyspedas.projects.mms.scm
    - pyspedas.projects.mms.fsm
    - pyspedas.projects.mms.fpi
    - pyspedas.projects.mms.hpca
    - pyspedas.projects.mms.edp
    - pyspedas.projects.mms.edi
    - pyspedas.projects.mms.eis
    - pyspedas.projects.mms.feeps
    - pyspedas.projects.mms.aspoc
    - pyspedas.projects.mms.dsp
    - pyspedas.projects.mms.bss
    - pyspedas.projects.mms.state
    - pyspedas.projects.mms.tetrahedron_qf
    - pyspedas.projects.mms.curlometer
    - pyspedas.projects.mms.lingradest
    - pyspedas.projects.mms.particles.mms_part_getspec.mms_part_getspec
    - pyspedas.projects.mms.particles.mms_part_slice2d.mms_part_slice2d
    - pyspedas.projects.mms.fpi_tools.mms_pad_fpi.mms_pad_fpi
    - pyspedas.projects.mms.fpi_tools.mms_load_fpi_calc_pad.mms_load_fpi_calc_pad

Read the full file on GitHub · 306 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 · 306 lines · 43 tokens per session scan A 072a477e6a78

Subscribe to this mod's changes

mms-basic-workflows is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 3,824 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.

Planning 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