architecture-zoom

architecture-zoom is a skill for Codex from stark-ai-de/agent-skills. It costs 55 tokens per session (1,544 once invoked), scanned A, original, Apache-2.0.

A planning workflow that describes a product or feature as a readable architecture blueprint and a sequence of complete product increments. An architecture blueprint explains the system's major parts and how they fit together.

In plain words
What is it for?
Use it to plan a new product or feature, explain system structure, define module responsibilities, and map an MVP into usable releases.
Why use it?
It gives teams a whole-product view without forcing them to write exhaustive specifications or unfinished component plans.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to plan a new product or feature, explain system structure, define module responsibilities, and map an MVP into usable releases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stark-ai-de/agent-skills/architecture-zoom
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.

Any agent
npx skills add stark-ai-de/agent-skills --skill architecture-zoom
Clone the repo
git clone --depth 1 https://github.com/stark-ai-de/agent-skills

Made for: 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 architecture-zoom

README.md
[![agentmods](https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/architecture-zoom/github.svg)](https://agentmods.dev/skills/stark-ai-de/agent-skills/architecture-zoom)
Your own site
<a href="https://agentmods.dev/skills/stark-ai-de/agent-skills/architecture-zoom"><img src="https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/architecture-zoom/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 architecture-zoom

Your own site · 80×15
<a href="https://agentmods.dev/skills/stark-ai-de/agent-skills/architecture-zoom"><img src="https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/architecture-zoom.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,544 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 $0.00055 $0.01544
Opus 5.5 $0.00022 $0.00618
Sonnet 5.5 $0.00011 $0.00309
Haiku 4.5 $0.00006 $0.00154

Measured 6d ago against content hash 69f231262445, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

architecture-zoom 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 6d 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.

plugins/stark-ai-developer/skills/architecture-zoom/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architecture Zoom

Goal

Make the agreed whole product understandable, then describe only the detail needed for the next decision. Deliver a linked architecture blueprint and a path to complete, usable product increments, not an exhaustive specification or a tree of unfinished components.

This is one planning workflow. Architecture views describe structure; delivery views describe user outcomes. Neither implies extra processes, services, agents, or mandatory abstraction layers.

When to use

  • Plan a new product, initial feature, or architecture before detailed implementation.
  • Explain the whole system with optional drill-down into responsibilities and contracts.
  • Cut a broad goal into releases that each fulfill a complete, bounded user promise.
  • Update an existing blueprint after a material requirement or contract change.

When not to use

  • A current implementation spec already resolves the requested change.
  • A tiny correction needs no meaningful product or architecture decision.
  • The request is an audit of existing code, direct refactoring, implementation, or formal proof.
  • The user only wants brainstorming; do not turn that into mandatory specification work.

Inputs to inspect

Reuse the request, prior answers, product goals, release map, accepted local ADRs, relevant instructions, and existing work items. Inspect representative code and actual sources when needed to distinguish current state from intended behavior. Record material revisions and unavailable evidence; never invent paths, commands, interfaces, or test results.

Workflow

  1. Resolve scope and reuse. Identify the user promise, audiences, constraints, non-goals, delivery intent, and existing artifacts. Ask only unresolved material questions. Respect active Plan and observed permissions independently. Continue independent planning while a dependent decision is unresolved.
  2. Show the whole picture. Draft the overview using the blueprint template: complete agreed functional breadth, core journeys, system responsibilities, important cross-cutting requirements, and visible risks. Separate current state, target, assumptions, and proposals. Complete breadth does not mean predicting every future requirement.
  3. Refine contracts only where useful. Apply design contracts. Give modules stable IDs and one authoritative contract. Link parents, children, dependencies, and cross-cutting invariants; do not duplicate shared modules. Stop refining when the next decision has sufficient responsibilities, interfaces, assumptions, and acceptance criteria. Keep deferred detail and its revisit trigger visible.
  4. Cut complete product increments. Keep the architecture map separate from the delivery map. A release must fulfill its own user promise using existing capabilities plus its own work, never a future release. Prefer a narrow end-to-end path over completing database, backend, and UI separately. A ticket is not automatically an MVP. Bound necessary enabling work and POCs, link their consuming increment, and do not report them as usable products.
  5. Check bottom-up and across modules. Trace each material requirement through a journey, release, relevant contracts, and planned acceptance. Check compatibility, composition, error recovery, side effects, ownership, and global invariants. Surface circular reasoning and stronger-than-evidence claims. Prioritize missing core journey steps before polishing working ones; investigate existential feasibility risks early in bounded experiments.
  6. Review and stop. Classify findings as required corrections, material user trade-offs, or optional improvements. Use a bounded correction/recheck loop; default to one correction round and one targeted recheck, then surface unresolved blockers. Never weaken acceptance to call work complete. Optional improvements do not enlarge the current scope.
  7. Deliver or hand off. Present the overview, next complete user outcome, remaining decisions, and exact requested document scope. Reuse unchanged approvals; persist only authorized documents when the host permits, recheck state, and read back. Hand off the relevant contracts and work-item context, not a second whole-product specification. A planning-only request ends here.

Read the full file on GitHub · 84 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 84 lines · 55 tokens per session scan A 69f231262445

Subscribe to this mod's changes

architecture-zoom is a skill published in the GitHub repository stark-ai-de/agent-skills (8 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 1,544 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-10.

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