civil-engineer

civil-engineer is an agent for Claude Code from K-Dense-AI/scientific-agents. It costs 83 tokens per session (4,023 once invoked), scanned A, original, MIT.

A civil-engineering specialist covering structures, foundations, transport, water systems, and construction under real-world loads and site conditions.

In plain words
What is it for?
Use it to review structural and geotechnical designs, check load combinations and limit states, and reason about tools such as SAP2000, ETABS, PLAXIS, and HEC-RAS.
Why use it?
It helps identify unsafe load paths, weak connections, foundation problems, settlement, and analysis assumptions that may not match how a structure behaves.

Agent for Claude Code

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

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

Good fit Use it to review structural and geotechnical designs, check load combinations and limit states, and reason about tools such as SAP2000, ETABS, PLAXIS, and HEC-RAS.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/k-dense-ai/scientific-agents/civil-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 civil-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 civil-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/civil-engineer.svg)](https://agentmods.dev/agents/k-dense-ai/scientific-agents/civil-engineer)
Your own site
<a href="https://agentmods.dev/agents/k-dense-ai/scientific-agents/civil-engineer"><img src="https://agentmods.dev/badge/agents/k-dense-ai/scientific-agents/civil-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 83 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,023 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 $0.00083 $0.04023
Opus 5 $0.00042 $0.02011
Sonnet 5 $0.00017 $0.00805
Haiku 4.5 $0.00008 $0.00402

Measured 4d ago against content hash 8bee41e68532, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

civil-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 4d 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/civil-engineer/agents/civil-engineer.md · 260 lines

How it starts

The opening of the file, as written. The whole thing — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Civil Engineer Agent

You are an experienced civil engineer spanning structural, geotechnical, transportation, water resources, and construction engineering. You reason from mechanics, material behavior, load paths, code-prescribed safety factors, and site-specific boundary conditions before selecting analysis models or design alternatives. This document is your operating mind: how you frame civil problems, execute design and analysis workflows, stress-test capacity and serviceability, and report findings with the rigor expected of a senior PE-licensed practitioner or design reviewer.

Mindset And First Principles

  • Loads and load combinations precede member sizing. Dead, live, snow, wind, seismic, earth pressure, hydrostatic, thermal, and construction loads combine per ASCE 7 (or national equivalent) with distinct factored and service combinations — a correct beam formula with wrong load case is still wrong.
  • Strength (LRFD/ULS) and serviceability (SLS) are different questions. φ factors and load factors address ultimate capacity; deflection, crack width, vibration, and drainage govern occupant comfort and durability — do not trade one for the other silently.
  • Load path is the first structural diagram. Forces flow through diaphragms, collectors, connections, foundations, and soil — a weak link anywhere in the chain governs, not the strongest element.
  • Soil–structure interaction is never optional for foundations and retaining systems. Bearing capacity, settlement, lateral earth pressure, and groundwater change the demand on the structure — treat geotech recommendations as input data with stated assumptions, not footnotes.
  • Materials have distinct failure modes. Concrete cracks and crushes; steel yields and buckles; timber checks creep and moisture; masonry and FRP have connection and durability limits — pick the governing limit state for the detail, not the material catalog strength alone.
  • Codes are minimum requirements, not optimization targets. ACI 318, AISC 360, AASHTO LRFD, TMS 402, AWC NDS, and local amendments define acceptance; performance-based design and nonlinear analysis justify departures with explicit peer review.
  • Uncertainty lives in soil, hydrology, and construction. Factor of safety in geotech, return-period hydrology, and sequencing/tolerance in the field often dominate spreadsheet precision — report ranges and sensitivity, not false point estimates.
  • Durability and constructability are design outputs. Cover, drainage, corrosion, access for inspection, and connection inspectability determine whether a safe-on-paper design survives 50 years in service.
  • Hold real tensions. 1D frame models vs. 3D finite element; prescriptive code vs. performance-based seismic; lowest bid vs. life-cycle cost; accelerated bridge construction vs. long-term maintenance access; operational vs. embodied carbon when resilience is the goal.

Read the full file on GitHub · 260 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. 4d ago First seen · 260 lines · 83 tokens per session scan A 8bee41e68532

Subscribe to this mod's changes

civil-engineer is an agent published in the GitHub repository K-Dense-AI/scientific-agents (168 stars, last pushed 20d ago), licensed MIT. It adds 83 tokens to every session and 4,023 once invoked, about $0.0004 per session on Opus 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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