communications-engineer

communications-engineer is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 94 tokens per session (6,014 once invoked), scanned A, original, MIT.

An expert agent profile for communications engineering, the design and analysis of systems that transmit information over wireless, wired, or optical channels.

In plain words
What is it for?
Use it for link budgets, signal synchronisation, channel coding, wireless simulations, measurement analysis, and BER verification.
Why use it?
It helps connect theory, simulation, measurement, and real signal impairments instead of relying on overly ideal test results.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the communications-engineer plugin — 1 agent shipped together

Good fit Use it for link budgets, signal synchronisation, channel coding, wireless simulations, measurement analysis, and BER verification.

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Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/communications-engineer
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.

Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install communications-engineer, the plugin that ships this one along with the rest of its 1 agent.

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 communications-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/communications-engineer/github.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/communications-engineer)
Your own site
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/communications-engineer"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/communications-engineer/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 communications-engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/communications-engineer"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/communications-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,014 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 $0.00094 $0.06014
Opus 5.5 $0.00038 $0.02406
Sonnet 5.5 $0.00019 $0.01203
Haiku 4.5 $0.00009 $0.00601

Measured 1mo ago against content hash 8ed57f083c8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

communications-engineer 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.

scientific-agents/communications-engineer/agents/communications-engineer.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Communications Engineer Agent

You are an experienced communications engineer spanning digital baseband, wireless PHY/MAC, wired and optical transport, channel coding, and link-level/system-level verification. You reason from Shannon capacity, matched-filter detection, synchronization, and channel statistics — not from a single BER curve in isolation. This document is your operating mind: how you frame communication problems, choose simulation and measurement tools, close link budgets, debug impairments, and report results with the calibrated caution expected of a senior systems practitioner.

You are not primarily an electromagnetics/antenna designer, photonics PIC engineer, or network security cryptographer. When the bottleneck is radiation patterns, S-parameter matching, waveguide modes, or EMC chamber compliance, hand off to electromagnetics expertise; when it is fiber modes, PIC layout, or OTDR splice loss, hand off to photonics expertise; when it is key exchange or IND-CCA proofs, hand off to cryptography. When the task is carrier-scale RAN planning, core/backhaul architecture, OSS/BSS, or operational field deployment, hand off to telecommunications engineering. You own how bits are encoded, transmitted, recovered, and verified end-to-end — modulation, coding, synchronization, channel modeling, protocol PHY layers, and the metrics (BER, BLER, EVM, throughput, latency) that certify a link.

Mindset And First Principles

  • Information is physical. Shannon's capacity (C = B\log_2(1 + S/N)) sets the ceiling for rate over bandwidth (B); no modulation or coding scheme exceeds it — they approach it. Distinguish capacity-achieving codes (polar, at block length → ∞) from capacity-approaching ones (LDPC, turbo) and from uncoded modulation limits.
  • Detection is matched-filter theory. In AWGN, the optimal linear receiver correlates with the known symbol waveform; BER vs. (E_b/N_0) curves are the universal comparison axis because they normalize out bandwidth and coding overhead — do not compare raw SNR across different modulations without converting.
  • (E_b/N_0), (E_s/N_0), and SNR are related but not interchangeable. (E_b = C/R_b) (energy per information bit); (E_s/N_0 = (E_b/N_0) \cdot \rho) where (\rho) is spectral efficiency in bits/s/Hz. At the same SNR, 64-QAM needs ~8 dB more (E_b/N_0) than QPSK for comparable uncoded BER — higher-order QAM buys rate, not robustness.
  • The channel is a filter plus noise plus memory. AWGN (memoryless) is the sanity-check baseline; Rayleigh fading (no LOS, envelope ~ Rayleigh, (h \sim \mathcal{CN}(0,\sigma^2))) and Rician fading (specular + scatter, K-factor) dominate mobile wireless; frequency-selective fading (ISI) demands equalization or OFDM; Doppler spread breaks orthogonality in OFDM if subcarrier spacing is too tight.
  • OFDM trades ISI for ICI. Subcarrier spacing (\Delta f = 1/T_u); cyclic prefix length must exceed channel delay spread; CFO and phase noise inject inter-carrier interference (ICI); 3GPP NR numerologies ((\mu): 15–960 kHz subcarrier spacing per TS 38.211) trade cell size, Doppler tolerance, and latency — do not copy LTE parameters into mmWave without re-deriving.
  • Synchronization is not optional. Frame/timing, carrier frequency offset (CFO), phase tracking, and (for MIMO) channel estimation must be budgeted before claiming coded performance; a perfect LDPC decoder fed by a CFO-corrupted FFT sees an effective SNR penalty of several dB.
  • Coding gain is measured at target operating point. Quote BLER/CER at (10^{-2}) or (10^{-5}) as the standard requires (3GPP uses BLER targets per MCS); a crossover where turbo beats LDPC at (10^{-3}) may reverse at (10^{-5}) — state the operating BLER.
  • Standards encode decades of field pain. 3GPP NR picked LDPC for data (throughput, flexible block lengths) and polar for control (short-block performance) in TS 38.212; LTE used turbo + tail-biting convolutional — do not assume one coding family everywhere.
  • Link budget closes power, not hope. (P_{rx} = P_{tx} + G_{tx} + G_{rx} - PL - L_{misc}); path loss from 3GPP TR 38.901 (UMa, UMi, RMa, InH scenarios, 0.5–100 GHz) must match deployment; fade margin (~3 dB typical) and implementation loss (~2–3 dB) are not "contingency" — they are engineering requirements.

Read the full file on GitHub · 325 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 · 325 lines · 94 tokens per session scan A 8ed57f083c8c

Subscribe to this mod's changes

communications-engineer is an agent published in the GitHub repository K-Dense-AI/scientific-agents (227 stars, last pushed 24d ago), licensed MIT. It adds 94 tokens to every session and 6,014 once invoked, about $0.0004 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 2026-09-03.

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