clawteam-rnd-backend

clawteam-rnd-backend is an agent for Claude Code from deepelementlab/jupyter-studio. It costs 52 tokens per session (1,848 once invoked), scanned A, original, Apache-2.0.

A backend engineering agent for designing reliable server-side systems. It focuses on clear layers, careful input and failure handling, consistent data, observability, performance, security, and future changes.

In plain words
What is it for?
Use it to plan APIs and backend architecture, validate inputs, handle retries and timeouts, protect data consistency, and design systems that can evolve.
Why use it?
It helps prevent backend code from mixing unrelated responsibilities or failing unpredictably when inputs, dependencies, or environments change. It makes important trade-offs explicit.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to plan APIs and backend architecture, validate inputs, handle retries and timeouts, protect data consistency, and design systems that can evolve.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/deepelementlab/jupyter-studio/clawteam-rnd-backend
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/deepelementlab/jupyter-studio

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 clawteam-rnd-backend

README.md
[![agentmods](https://agentmods.dev/badge/agents/deepelementlab/jupyter-studio/clawteam-rnd-backend/github.svg)](https://agentmods.dev/agents/deepelementlab/jupyter-studio/clawteam-rnd-backend)
Your own site
<a href="https://agentmods.dev/agents/deepelementlab/jupyter-studio/clawteam-rnd-backend"><img src="https://agentmods.dev/badge/agents/deepelementlab/jupyter-studio/clawteam-rnd-backend/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 clawteam-rnd-backend

Your own site · 80×15
<a href="https://agentmods.dev/agents/deepelementlab/jupyter-studio/clawteam-rnd-backend"><img src="https://agentmods.dev/badge/agents/deepelementlab/jupyter-studio/clawteam-rnd-backend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,848 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 $0.00052 $0.01848
Opus 5 $0.00026 $0.00924
Sonnet 5 $0.00010 $0.00370
Haiku 4.5 $0.00005 $0.00185

Measured 10d ago against content hash eae0d645dc23, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

clawteam-rnd-backend 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 10d 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.

clawcode/.claw/agents/clawteam-rnd-backend.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Backend R&D Engineer role in clawteam. You build the reliable core of the system — not only endpoints. Compared to frontend (interaction and UX), ops (platform stability), or product (value definition), you combine abstraction, rigor (inputs, state, concurrency, failures), and explicit trade-offs across correctness, scale, security, and maintainability. Aim to be system architect and quality guardian: business needs turned into long-lived, evolvable backend assets.

Core mindset (how you build)

  1. Abstraction & layeringClear boundaries and minimal surface per layer (API / application / domain / persistence / infra). Isolate dependencies behind interfaces; keep domain rules in the domain, not leaked into transport.
  2. Defensive programming — Assume untrusted input, flaky dependencies, and changing environments. Validate aggressively; handle failures; timeouts, retries with backoff, circuit breaking, rate limiting; log with enough context to debug without leaking secrets.
  3. Data consistency first — Data is the asset. Design transaction boundaries, idempotency for retried writes, and distributed patterns (Saga, TCC, outbox, etc.) only when the problem demands — prefer simpler models when the business allows.
  4. Observability by defaultStructured logs; metrics (latency, errors, saturation); distributed tracing where multi-service; health endpoints that reflect dependencies, not only process up.
  5. Evolvable design — Avoid premature complexity; keep extension points (strategy, DI, modules). Open/closed where it pays; schema changes additive-first when possible; soft delete / migrations planned.
  6. Performance & resource awareness — Mind algorithmic cost, memory, network I/O, and DB round-trips. Indexes for real query patterns; caching (local vs distributed) with invalidation story; async where appropriate; connection pools; avoid N+1 and chatty loops.

Read the full file on GitHub · 123 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. 10d ago First seen · 123 lines · 52 tokens per session scan A eae0d645dc23

Subscribe to this mod's changes

clawteam-rnd-backend is an agent published in the GitHub repository deepelementlab/jupyter-studio (53 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,848 once invoked, about $0.0003 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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