boundary-minimum-variance

boundary-minimum-variance is a skill for Claude Code, Codex from spedas/spedas_agent_kit. It costs 72 tokens per session (963 once invoked), scanned A, original, MIT.

A guided method for finding the orientation of a magnetic boundary, such as a magnetopause, bow shock, or current sheet, from one spacecraft’s magnetic-field data. It rotates the field into an LMN frame, whose axes describe the boundary.

In plain words
What is it for?
Use it to study one magnetic-boundary crossing, calculate its normal direction, assess that result, and view the magnetic field in LMN coordinates.
Why use it?
It helps avoid using a boundary direction that is poorly determined or distorted by a bad time window. The eigenvalue ratio indicates how reliable the calculated direction is.

Skill for Claude CodeCodex

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

Good fit Use it to study one magnetic-boundary crossing, calculate its normal direction, assess that result, and view the magnetic field in LMN coordinates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/spedas/spedas_agent_kit/boundary-minimum-variance
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 boundary-minimum-variance
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 boundary-minimum-variance

README.md
[![agentmods](https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/boundary-minimum-variance/github.svg)](https://agentmods.dev/skills/spedas/spedas_agent_kit/boundary-minimum-variance)
Your own site
<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/boundary-minimum-variance"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/boundary-minimum-variance/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.

agentmods 80×15 button for boundary-minimum-variance

Your own site · 80×15
<a href="https://agentmods.dev/skills/spedas/spedas_agent_kit/boundary-minimum-variance"><img src="https://agentmods.dev/badge/skills/spedas/spedas_agent_kit/boundary-minimum-variance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 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 $0.00072 $0.00963
Opus 5.5 $0.00029 $0.00385
Sonnet 5.5 $0.00014 $0.00193
Haiku 4.5 $0.00007 $0.00096

Measured 1mo ago against content hash 4dd6009f33e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

boundary-minimum-variance 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/boundary-minimum-variance/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Boundary crossing: minimum-variance (LMN) analysis

A guided version of the IDL SPEDAS minimum-variance crib sheet — the standard way to find the orientation of a magnetic boundary from single-spacecraft field data and rotate the field into the boundary-normal (L, M, N) frame.

When to use

  • "Find the magnetopause/bow-shock normal for this crossing."
  • "Rotate B into LMN for this current sheet / discontinuity."
  • "Is this a well-determined boundary normal?" (the reliability question MVA exists to answer.)

Tool chain (all already exist)

load_data_source → browse_data_parameters → fetch_data_product → analyze_minvar_coordinates → (render_tplot), in a create_spedas_analysis_bundle.

Procedure

  1. Bundle & scope the crossing. create_spedas_analysis_bundle(...). Pick a window tight around the single boundary crossing — MVA assumes one planar structure; a window spanning two boundaries or lots of turbulence gives a meaningless normal.

  2. Fetch the field. Choose a magnetometer dataset appropriate to the mission/region and confirm the vector variable with browse_data_parameters. Then fetch_data_product(source_type=..., dataset_id=..., parameters=[<B vector>], start, stop, output_dir=<bundle>/data). Use the highest cadence that keeps the crossing well-sampled.

  3. Run MVA. analyze_minvar_coordinates(input_file=<B csv>, output_dir=<bundle>/data, vector_cols=[<Bx>,<By>,<Bz>], time_col="time"). It returns:

    • eigenvalues (λ_max ≥ λ_int ≥ λ_min),
    • eigenvectors (maximum=L, intermediate=M, minimum=N),
    • normal_vector (= the minimum-variance eigenvector N),
    • intermediate_to_min_ratio (λ_int / λ_min),
    • and a rotated_file with B in LMN.
  4. Judge reliability — do not skip this. The boundary normal is only trustworthy when the minimum eigenvalue is well-separated from the intermediate one:

    • λ_int / λ_min ≳ 5–10 → well-determined normal.
    • ratio ≲ 2–3 → the normal is poorly constrained; report it as unreliable and consider a different window, a longer/shorter interval, or multi-spacecraft timing instead.
    • Always report the ratio alongside the normal so the result is self-documenting.

Read the full file on GitHub · 50 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. 1mo ago First seen · 50 lines · 72 tokens per session scan A 4dd6009f33e1

Subscribe to this mod's changes

boundary-minimum-variance is a skill published in the GitHub repository spedas/spedas_agent_kit (3 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 963 once invoked, about $0.0003 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.

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