Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

E2006 Space Plasma Introduction

ASecurity

Use when evaluate the space-plasma-environment a spacecraft flies through under ECSS-E-ST-20-06C clause 4.1.1 and the spacecraft-charging risks it creates: compute the debye-length and the electron-thermal-flux from ambient electron-density and electron-temperature, categorize the ambient population as cold-ionospheric, warm-magnetospheric, hot-substorm or energetic-electron, decide whether the body sits in a thin-sheath or a thick-sheath regime against its characteristic-length, derive the s...

2 stars
0 votes
0 copies
0 views
Added 9/27/2026
ai-agentspythongoexpress

Works with

claude codecli

Security Analysis

A100/100

Scanned 9/27/2026

Install to Claude Code

$npx -y skills add ashfordeOU/aero-agent-skills --skill e2006-space-plasma-introduction --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of E2006 Space Plasma Introduction?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for E2006 Space Plasma Introduction
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-e2006-space-plasma-introduction/badge)](https://www.skillsdirectory.com/skills/ashfordeou-e2006-space-plasma-introduction)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: e2006-space-plasma-introduction
description: "Use when evaluate the space-plasma-environment a spacecraft flies through under ECSS-E-ST-20-06C clause 4.1.1 and the spacecraft-charging risks it creates: compute the debye-length and the electron-thermal-flux from ambient electron-density and electron-temperature, categorize the ambient population as cold-ionospheric, warm-magnetospheric, hot-substorm or energetic-electron, decide whether the body sits in a thin-sheath or a thick-sheath regime against its characteristic-length, derive the surface-charging and internal-charge-deposition risk families that follow, and estimate the frame-potential build-up timescale. Trigger: ecss, e-st-20-electrical-scope, e2006-space-plasma-introduction, space-plasma-environment, debye-length, electron-thermal-flux, thick-sheath-regime, hot-substorm-plasma, energetic-electron-population, spacecraft-charging-risk."
license: Apache-2.0
compliance: STANDARDS-REF
standards:
  - id: ecss
    reference-only: true
gated: false
domain: space-systems
pack: space-systems
compatibility: "agentskills.io SKILL.md; any SKILL.md host (Claude Code, Hermes, OpenClaw)"
metadata:
  domain: space-systems
  subdomain: ecss
  tags: [ecss, e-st-20-electrical-scope, e2006-space-plasma-introduction, space-plasma-environment, debye-length, electron-thermal-flux, thick-sheath-regime, hot-substorm-plasma, energetic-electron-population, spacecraft-charging-risk]
  version: 0.1.0
  author: Aero Agent Skills
---

# ECSS Electrical — Space Plasma Introduction (space-systems/ecss/e2006-space-plasma-introduction)

Use when the task is the entry point of ECSS-E-ST-20-06C clause 4.1.1 --
what the ambient space-plasma actually is at the orbit under study, which
plasma regime the spacecraft body sits in, and which families of
spacecraft-charging risk that regime puts on the table. The detailed
physical mechanisms and the mitigation programme are separate leaves; this
one turns an environment record into a regime and a risk shortlist.

## Domain quick reference

- A space-plasma population is described for this purpose by two numbers:
  the ambient electron-density (particles per cubic metre) and the
  electron-temperature expressed as an energy in electronvolts. Everything
  downstream -- shielding distance, collected flux, regime, risk family --
  is derived from that pair plus the size of the body.
- The debye-length is the distance over which the plasma screens an
  imposed potential. With the electron-temperature in electronvolts it
  follows from the permittivity of free space, that temperature and the
  density; it is millimetres in the dense cold ionosphere and hundreds of
  metres in the tenuous hot magnetosphere. The same pair fixes the
  electron-thermal-flux -- one quarter of the density times the mean
  thermal speed times the elementary charge -- which is the current a
  surface collects from the ambient population.
- The regime is the ratio of debye-length to the characteristic-length of
  the body. When the screening distance is far smaller than the body the
  sheath is thin and hugs the surface; when it is comparable to or larger
  than the body the sheath is thick and orbit-limited collection applies.
  Between the two the regime is transitional and neither limit is safe to
  assume.
- Population categories drive different risk families. A cold-ionospheric
  population (sub-electronvolt, dense) does not charge a body to hazardous
  absolute potentials but drives ram-wake potential asymmetry and, on a
  high-voltage-array, arcing through the thin sheath. A warm-magnetospheric
  population raises auroral frame-potential excursions. A hot-substorm
  population of kiloelectronvolt electrons is the classic
  surface-charging driver, producing both absolute frame-potential
  excursions and differential potentials between adjacent surfaces. An
  energetic-electron population above roughly a hundred kiloelectronvolts
  penetrates the outer skin and drives internal-charge-deposition and
  buried-charge breakdown instead.
- The build-up timescale of a frame potential is the stored charge divided
  by the collected current: body capacitance times the target potential,
  over collected current density times area. It separates a regime that
  charges in seconds from one that never reaches the potential of concern
  inside an eclipse pass.

## Workflow

1. Normalise the environment record: name, electron-density,
   electron-temperature, characteristic-length, and the optional flags for
   a high-voltage-array and for eclipse exposure. Reject a non-positive
   density, temperature or length -- none of the derived quantities is
   defined there.
2. Compute the debye-length and the electron-thermal-flux from the density
   and temperature pair.
3. Categorize the population by electron-temperature band:
   cold-ionospheric, warm-magnetospheric, hot-substorm, or
   energetic-electron. A value sitting exactly on a band edge belongs to
   the upper band, and the comparison absorbs representation error so a
   product or quotient landing a few units in the last place low does not
   fall into the wrong band.
4. Determine the sheath regime from the ratio of debye-length to
   characteristic-length: thin-sheath well below the body scale,
   thick-sheath at or above it, transitional between.
5. Derive the risk families from the population, the regime and the flags,
   returning a sorted, de-duplicated set so two populations that raise the
   same risk do not double-count it.
6. Where a capacitance and a potential of concern are known, estimate the
   build-up timescale and compare it against the exposure duration of the
   orbit segment before declaring a risk credible.
7. Across a set of records, pick the worst case by electron-temperature
   (density breaking a tie) and union the risk families for the mission.

## Pitfalls

- Reading a dense plasma as a severe charging environment -- density sets
  the collected current, not the potential; it is the electron-temperature
  band that decides whether hazardous potentials are reachable at all.
- Applying thin-sheath collection everywhere because it is the familiar
  low-orbit case -- in a tenuous hot plasma the debye-length exceeds the
  body and the collection law changes, so the current estimate is wrong in
  the direction that matters.
- Treating surface-charging and internal-charge-deposition as one risk --
  they are driven by different parts of the spectrum, and a population
  that produces one may produce none of the other.
- Ignoring the build-up timescale and declaring every hot-plasma pass a
  hazard -- with a large capacitance and a weak collected current the
  potential of concern may never be reached inside the exposure window.
- Letting a band-edge comparison decide by raw floating-point ordering --
  an electron-temperature computed as a product can land a few units in
  the last place below a band edge and be categorized one band too low.

## Behavior contract (gate 3)

The debye-length, electron-thermal-flux, population categorization, sheath
regime, risk-family derivation, build-up timescale and worst-case roll-up
are exercised by the gate 3 contract test:
scripts/test_e2006_space_plasma_introduction.py against
scripts/e2006_space_plasma_introduction_logic.py (stdlib unittest,
offline). Run: python3 scripts/test_e2006_space_plasma_introduction.py

## Compliance

- ECSS standards are freely downloadable (ESA); cite the source and
  paraphrase per standards-map.yaml.
- compliance: STANDARDS-REF, gated: false.

Attribution

ashfordeOUashfordeOU
View sourceMore from ashfordeOU →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

694821 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →