system-design-session

system-design-session is a skill for Codex from HoangNguyen0403/agent-skills-standard. It costs 38 tokens per session (1,124 once invoked), scanned A, original, MIT.

An interactive planning workflow for turning a product goal into a sized software architecture, with diagrams, decision records, a scorecard, and a machine-readable handoff.

In plain words
What is it for?
Use it to design a new system, review an existing architecture, or practise an architecture interview.
Why use it?
It helps teams make architecture choices explicit and justify them against expected capacity and system needs.

Skill for Codex

Written for Codex: installed under .codex/.

Good fit Use it to design a new system, review an existing architecture, or practise an architecture interview.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hoangnguyen0403/agent-skills-standard/system-design-session
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 HoangNguyen0403/agent-skills-standard --skill system-design-session
Clone the repo
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard

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 system-design-session

README.md
[![agentmods](https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/system-design-session/github.svg)](https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/system-design-session)
Your own site
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/system-design-session"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/system-design-session/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 system-design-session

Your own site · 80×15
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/system-design-session"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/system-design-session.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,124 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00038 $0.01124
Opus 5 $0.00019 $0.00562
Sonnet 5 $0.00008 $0.00225
Haiku 4.5 $0.00004 $0.00112

Measured 9d ago against content hash 86b5d2a0e332, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

system-design-session 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 9d 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.

.codex/skills/system-design-session/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Design Session Skill

[!IMPORTANT] Run an interactive system design session that turns a product goal into a sized, justified architecture with diagrams, ADRs, a scorecard, and a machine-readable handoff.

Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.

Instructions

When the user asks to perform this workflow, execute the following steps:

System Design Workflow (Architecture / How Big)

Goal: Produce a capacity-justified architecture baseline that design-solution can turn into contracts.

Steps

  1. Load inputs:
    • Load system-design-methodology plus matched siblings (estimation, building-blocks, data-architecture, resilience-ops, review, principles, diagramming).
    • Load PRD or ticket, existing architecture docs, and current traffic/incident data when reviewing an existing system.
  2. Classify and announce:
    • Mode: new design | review existing | interview practice.
    • Depth: quick sketch (defaults assumed, each labeled ASSUMED) or full session (every gate confirmed).
    • Escalate quick to full when an irreversible or cross-team choice appears.
  3. Intake (gate):
    • Ask max 3 blocking questions per turn from the intake checklist; supply a recommended default for each.
    • Record functional requirements, NFR targets, out-of-scope fence, operating team, and every ASSUMED value.
    • Review-existing mode: map current state, measure real traffic and incidents, and name the binding constraint before proposing change.
  4. Estimate (gate):
    • Compute average and peak QPS, storage over retention, bandwidth, working-set memory, and monthly cost at that scale.
    • Name the shaping quantity and confirm the order of magnitude before any component is drawn.
  5. Design incrementally:
    • Price the null option first (do nothing, buy, or extend an existing service); rejecting it needs a stated reason.
    • Start from client, API, service, store; add one component at a time as constraint -> component -> cost.
    • Fix API surface, data ownership, and consistency class per flow.
    • Render diagrams only after the component set is agreed, per system-design-diagramming: an architecture view plus sequence or dataflow for the critical path.
  6. Deep dive and decide:
    • Dispatch the 2-3 riskiest components to specialist-system-architect, one brief each with its numbers and consistency requirement.
    • Merge the returned options, failure modes, and irreversible decisions; state bottlenecks, SPOFs, and rejected alternatives with reasons.
    • Write one ADR per irreversible decision, each with its reversal trigger; stage the plan as build now, enabling seam, and the metric threshold that triggers the next step.
    • Save the design to docs/design/system-design-[slug].md when file writes are allowed.
  7. Score and hand off:
    • Run the nine-axis scorecard (including cost proportionality), record the risk register, and emit the handoff payload.
    • Route to design-solution; return to plan-feature when product scope is still undefined.

Read the full file on GitHub · 101 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. 9d ago First seen · 101 lines · 38 tokens per session scan A 86b5d2a0e332

Subscribe to this mod's changes

system-design-session is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It adds 38 tokens to every session and 1,124 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 2026-09-03.

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