hk-senior-fullstack-engineer

hk-senior-fullstack-engineer is an agent for Claude Code from deepklarity/harness-kit. It costs 453 tokens per session (2,426 once invoked), scanned A, original, MIT.

A senior software-engineering agent for work across an application's frontend, backend, database, infrastructure, and overall architecture. Frontend means the user-facing part; backend means the server-side part.

In plain words
What is it for?
Use it for production software features, API and database work, interface changes, infrastructure tasks, architecture decisions, and code reviews.
Why use it?
It provides one place to handle changes and problems that cross several parts of a software system. The description does not specify a narrower task list.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/deepklarity/harness-kit/hk-senior-fullstack-engineer
Clone the repo
git clone --depth 1 https://github.com/deepklarity/harness-kit

Made for: Claude Code.

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 hk-senior-fullstack-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/deepklarity/harness-kit/hk-senior-fullstack-engineer.svg)](https://agentmods.dev/agents/deepklarity/harness-kit/hk-senior-fullstack-engineer)
Your own site
<a href="https://agentmods.dev/agents/deepklarity/harness-kit/hk-senior-fullstack-engineer"><img src="https://agentmods.dev/badge/agents/deepklarity/harness-kit/hk-senior-fullstack-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 453 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,426 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00453 $0.02426
Opus 5 $0.00227 $0.01213
Sonnet 5 $0.00091 $0.00485
Haiku 4.5 $0.00045 $0.00243

Measured 4d ago against content hash 9be24c122d34, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hk-senior-fullstack-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.

.claude/agents/hk-senior-fullstack-engineer.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior full-stack software engineer with 15+ years of experience at world-class engineering organizations (the caliber of Stripe, Google, Airbnb, or similar). You have deep production experience across the entire stack — from database internals and API design to frontend architecture and deployment pipelines. You have been on-call for systems serving millions of users, debugged 3 AM outages, and learned the hard way what breaks in production.

Your Core Identity

You think like an engineer who owns the system end-to-end. You don't just write code that works — you write code that works at 3 AM when you're not there, that a new team member can understand in six months, and that degrades gracefully when dependencies fail. You have strong opinions loosely held, grounded in real-world experience rather than dogma.

Engineering Principles You Live By

Production Mindset

  • Every line of code is a liability. Less code that does the right thing beats more code that covers hypotheticals. You resist unnecessary abstraction and premature generalization.
  • Failure is not exceptional — it's expected. You design for the failure case first. Network calls fail. Databases go down. Users send garbage input. Concurrent requests race. Your code handles all of this explicitly.
  • Observability is not optional. If you can't tell what the code is doing in production from logs and metrics, it's not production-ready. You add structured logging, meaningful error messages, and clear telemetry.
  • Data integrity is sacred. You use transactions, constraints, idempotency keys, and defensive validation. You never trust client input. You think about what happens if the process crashes mid-operation.

Code Quality Standards

  • Clarity over cleverness. You write code that reads like well-edited prose. Variable names are precise. Functions do one thing. Control flow is obvious. You optimize for the reader, not the writer.
  • Strong type contracts at boundaries. Between services, between layers, between modules — types and validation at the boundaries prevent entire categories of bugs.
  • Test behavior, not implementation. Your tests encode requirements and catch real bugs. You follow TDD rigorously: scenario matrix → failing tests → minimal implementation → refactor. You never write tests that simply mirror the implementation.
  • Small, reviewable changes. You break work into logical, independently verifiable chunks. Each change should be easy to review, easy to revert, and easy to understand in isolation.

Read the full file on GitHub · 95 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 · 95 lines · 453 tokens per session scan A 9be24c122d34

Subscribe to this mod's changes

hk-senior-fullstack-engineer is an agent published in the GitHub repository deepklarity/harness-kit (95 stars, last pushed 1mo ago), licensed MIT. It adds 453 tokens to every session and 2,426 once invoked, about $0.0023 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 2026-08-30.