agent-development

agent-development is a skill for Claude Code, Codex from nebius/nebius-physical-ai. It costs 41 tokens per session (4,168 once invoked), scanned A, original, Apache-2.0.

A development guide for building and testing the NPA chat agent backend, including how it routes requests and chooses model calls.

In plain words
What is it for?
Use it when changing the NPA chat backend, its request routing, Token Factory connections, embedded backend, or low-cost test tiers.
Why use it?
It helps developers keep routine answers grounded in live session data without using a model, while keeping necessary model calls small and low-cost.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/nebius/nebius-physical-ai/agent-development
Any agent
npx skills add nebius/nebius-physical-ai --skill agent-development
Clone the repo
git clone --depth 1 https://github.com/nebius/nebius-physical-ai

Made for: Claude Code, Codex.

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 agent-development

README.md
[![agentmods](https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/agent-development.svg)](https://agentmods.dev/skills/nebius/nebius-physical-ai/agent-development)
Your own site
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/agent-development"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/agent-development.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,168 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 5.1 $0.00041 $0.04168
Opus 5 $0.00020 $0.02084
Sonnet 5 $0.00008 $0.00834
Haiku 4.5 $0.00004 $0.00417

Measured today against content hash 2fae976577b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agent-development 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 today.

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.

skills/atomic/agent-development/SKILL.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Development (cheap-token chat backend)

How to develop the NPA agent chat backend. For operating a deployed agent (deploy/bootstrap/verify, chat UX, API grounding, Rerun) use skills/tools/npa-agent/SKILL.md; for fresh deploy/teardown loops use skills/workflows/agent-fresh-operate/SKILL.md.

Guiding principle: the cheapest token is the one you never spend. Protect and widen the zero-token grounded path; make the unavoidable model calls small, structured, and cheap-model-first.

Architecture (three layers)

  1. Grounded intent router (zero tokens)npa/src/npa/cli/agent_chat.py. match_chat_intent() classifies a turn; build_grounded_reply() answers from live session state with no model call ("grounded": true). Most operator turns end here.
  2. Cost-tier routing (cheap model calls)npa/src/npa/cli/agent_routing.py. Only turns that fall through the router reach Token Factory, and this layer keeps them cheap.
  3. Token Factory clientnpa/src/npa/clients/token_factory.py (operator/SDK path) and the embedded _provider_chat / _chat_with_resilience in npa/src/npa/cli/agent.py (agent-VM path).

The embedded-backend mechanism (critical)

The agent VM runs backend.py, which is built as one big f-string inside _bootstrap_agent_stack in npa/src/npa/cli/agent.py. Pure helper modules are inlined into it via placeholder substitution — the pattern to reuse when adding logic:

  • Real module (normal Python, no brace escaping): agent_chat.py, agent_workflow.py, agent_routing.py.
  • Embed helper _embedded_agent_<name>_source() strips the docstring + from __future__ line.
  • Placeholder constant _AGENT_<NAME>_EMBED appears in the template and is replaced in the .replace(...) chain near the end of _bootstrap_agent_stack.

Rules:

  • Put testable logic in a real module and embed it; do not write new logic directly inside the f-string unless it must touch template variables.
  • Code written inside the f-string must escape literal braces as {{ / }} and newlines in strings as \\n; substitutions use single {var}.
  • After editing the template, validate the rendered backend compiles (see Testing). A stray brace is a SyntaxError at import of agent.py.
  • Embedded routes register before the template's own routes. The _AGENT_*_EMBED placeholders sit earlier in the f-string than most @app.* blocks, and Starlette resolves the first matching route, so an embedded module silently wins over a same-path handler written further down in agent.py. /artifacts/file/{filename} and /artifacts/download each carried two definitions this way, and the shadowed copies in agent.py were the weaker ones — no Content-Disposition/nosniff headers, no run-scoped inventory authorization — so the file a maintainer would open described a contract the deployment did not serve. Before adding a route, grep the embedded modules for its path; test_rendered_backend_registers_no_shadowed_routes fails the build on any method+path registered twice.

Read the full file on GitHub · 273 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. today Changed · +13 lines 2fae976577b8
  2. 6d ago First seen · 260 lines · 41 tokens per session scan A 72262af8c611

Subscribe to this mod's changes

agent-development is a skill published in the GitHub repository nebius/nebius-physical-ai (27 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 4,168 once invoked, about $0.0002 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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