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.
npx agentmods add agents/deepklarity/harness-kit/hk-senior-fullstack-engineergit clone --depth 1 https://github.com/deepklarity/harness-kitWrote 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.
[](https://agentmods.dev/agents/deepklarity/harness-kit/hk-senior-fullstack-engineer)<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
- 4d ago First seen · 95 lines · 453 tokens per session scan A 9be24c122d34
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.
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