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

Communication Link Budget

ASecurity

Use when you must build or check a spacecraft communications link budget: compute the free space path loss from distance and frequency, derive EIRP from transmit power and antenna gain, estimate received power and carrier to noise density ratio, and verify the link margin against the required energy per bit to noise ratio at the data rate. Produces path loss, EIRP, received power, C/N0, Eb/N0, and the margin verdict that closes the link. Trigger: link budget, path loss, eirp, carrier to noise...

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

Works with

claude code

Security Analysis

A100/100

Scanned 9/27/2026

Install to Claude Code

$npx -y skills add ashfordeOU/aero-agent-skills --skill communication-link-budget --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Communication Link Budget?

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

Security grade badge for Communication Link Budget
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ashfordeou-communication-link-budget/badge)](https://www.skillsdirectory.com/skills/ashfordeou-communication-link-budget)

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

Download with Pro
Files
SKILL.md
---
name: communication-link-budget
description: "Use when you must build or check a spacecraft communications link budget: compute the free space path loss from distance and frequency, derive EIRP from transmit power and antenna gain, estimate received power and carrier to noise density ratio, and verify the link margin against the required energy per bit to noise ratio at the data rate. Produces path loss, EIRP, received power, C/N0, Eb/N0, and the margin verdict that closes the link. Trigger: link budget, path loss, eirp, carrier to noise density, eb n0, link margin, data rate, spacecraft communications."
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: subsystems
  tags: [communication-link-budget, eirp, free-space-path-loss, c-n0, eb-n0, link-margin, data-rate, spacecraft-communications]
  version: 0.1.0
  author: Aero Agent Skills
---

# Spacecraft Communication Link Budget (space-systems/subsystems/communication-link-budget)

Use when the task is a spacecraft communications link budget: Friis
free-space path loss, EIRP, received power, carrier to noise density
ratio, and the Eb/N0 margin at the data rate.

Units convention (stated once): power and EIRP in dBW, gains and
losses in dB, distance in meters, frequency in hertz, noise
temperature in kelvin, data rate in bits per second, C/N0 in dB-Hz,
Eb/N0 and margin in dB. No Watt/dBW mixing anywhere.

## Domain quick reference

- Free-space path loss: L_fs = 20*log10(4*pi*d/lambda) dB, where
  lambda = c/f with c = 299792458 m/s; doubling distance or frequency
  adds about 6 dB of loss.
- EIRP (dBW) = transmit power (dBW) + transmit antenna gain (dB).
- Received power: Pr = EIRP + Gr - L_fs - L_other (dBW), where other
  losses lump atmospheric, pointing, and polarization effects.
- Carrier to noise density: C/N0 = Pr + 228.6 - 10*log10(T) dB-Hz
  (228.6 is 10*log10(1/k) with k = 1.380649e-23 J/K); doubling the
  system noise temperature costs 3 dB.
- Eb/N0 = C/N0 - 10*log10(R); the required Eb/N0 comes from the
  modulation and coding scheme, and the margin is the difference.
- ECSS-E-ST-50C (communications) sets the European baseline for space
  data link budgets; ECSS standards are free to download from
  https://ecss.nl/standards/ (name + paraphrase + link only).

## Workflow

1. Set the link geometry: slant distance (m) and carrier frequency
   (Hz); compute free_space_path_loss.
2. Combine transmit power (dBW) and antenna gain (dB) with
   eirp_dbw.
3. Add the receive gain and subtract path and other losses with
   received_power_dbw.
4. Convert received power to carrier to noise density with the
   system noise temperature: cno_db_hz.
5. Close the budget with link_margin at the data rate against the
   required Eb/N0; treat ok False as a design failure, not a
   rounding error.

## Pitfalls

- Mixing watts and dBW in one chain; convert transmit power to dBW
  once, then keep everything in dBW.
- Feeding kilometers or gigahertz into the Friis formula without
  converting to meters and hertz.
- Dropping other losses (pointing, polarization, atmospheric) and
  calling a paper link closed.
- Checking the margin at the wrong data rate; 10*log10(R) is the
  per-bit penalty.
- Accepting a negative margin because the raw C/N0 still looks
  large.

## Behavior contract (gate 3)

The path loss, EIRP, received power, C/N0, and margin logic is
exercised by the gate 3 contract test:
scripts/test_link_budget_logic.py against scripts/link_budget_logic.py
(stdlib unittest, offline). Run from the repo root:
python3 skills/space-systems/subsystems/communication-link-budget/scripts/test_link_budget_logic.py

## Compliance

- Standards referenced, not reproduced: ECSS standards are freely
  downloadable (copyright ESA); summary-only per standards-map.yaml
  and brief 06.
- 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 →