design

A design workflow for refining a product, epic, or feature before implementation. At product level it creates an architecture document; at smaller levels it asks a planning subagent to refine the design.

In plain words
What is it for?
Use it to choose technologies and system structure for a product, or to improve the design of an epic or feature.
Why use it?
It turns existing requirements into a clearer technical design and checks that the required definition documents exist.

Skill for Claude CodeCodex

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/agenturehq/agenture-loop/design
Any agent
npx skills add AgentureHQ/agenture-loop --skill design
Clone the repo
git clone --depth 1 https://github.com/AgentureHQ/agenture-loop

Made for: Claude Code, Codex.

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,301 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 $0.00054 $0.01301
Opus 5 $0.00027 $0.00651
Sonnet 5 $0.00011 $0.00260
Haiku 4.5 $0.00005 $0.00130

Measured 2d ago against content hash 2d23858715ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design 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 2d 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/agn/skills/design/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design (/agn:design <level>)

Arguments

Position Variable Value
$0 level product, epic, or feature

Argument validation

If $0 is missing, stop and ask:

"What level — product, epic, or feature?"

If $0 is not one of product, epic, feature, stop and list the valid set.

Dispatch

Read $0. Run exactly one of the branches below.


$0 = product

Preconditions

Required before starting:

  • docs/vision.md
  • docs/spec.md
  • docs/requirements.md

If any are missing, stop and tell the user: Cannot run /agn:design product — definition documents not found. Run /agn:define product first.

Output

Artifact Path
High-level architecture docs/architecture.md

In scope: technology choices, system architecture, domain dictionary (key terms), workflows and key APIs, security mechanisms.

Out of scope: detailed API signatures, database schemas, function-level design — those belong in task-level detailed design during implementation.

Workflow

  1. Draft docs/architecture.md from the definition documents.

  2. Review cycle with the user: incorporate feedback.

  3. Self-validation — produce a report covering: completeness, consistency with specs, over/under-engineering, design-principle issues.

  4. Document consistency — If architectural decisions change scope (e.g. defer a feature), update docs/spec.md and/or docs/requirements.md and state why. Chain: vision → spec → requirements → architecture.

  5. Gate — User explicitly approves before /agn:define epic or /agn:define feature.

Product-branch discipline

  • Do not invent requirements; align with definition docs or flag conflicts to the user.
  • Architecture impact that contradicts prior commitments requires explicit user agreement.

$0 = epic

Preconditions

The epic file must exist under tasks/epics/. If it does not, stop and direct the user to /agn:define epic.

Read the full file on GitHub · 136 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. 2d ago First seen · 136 lines · 54 tokens per session scan A 2d23858715ff

Subscribe to this mod's changes

design is a skill published in the GitHub repository AgentureHQ/agenture-loop (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,301 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 2026-08-31.

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