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.
npx skills add gpsaggese/helpers --skill architecture.write_designgit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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.
[](https://agentmods.dev/skills/gpsaggese/helpers/architecture.write_design)<a href="https://agentmods.dev/skills/gpsaggese/helpers/architecture.write_design"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/architecture.write_design/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.
<a href="https://agentmods.dev/skills/gpsaggese/helpers/architecture.write_design"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/architecture.write_design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00863 |
| Opus 5.5 | $0.00006 | $0.00345 |
| Sonnet 5.5 | $0.00003 | $0.00173 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
architecture.write_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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
- Given a PRD (Product Requirement Document), write
docs/02-design.architecture.mdanddocs/02.<N>-design.<component>.mdper component - Design before the code exists: do not write code
Input
<PRD>: the PRD file, e.g.,docs/01-prd.md<DOCS_DIR>: thedocs/dir of the project, optional- If missing, use the dir of
<PRD>
- If missing, use the dir of
Workflow
Read the Inputs
- Read
<PRD>and the existing docs in<DOCS_DIR> - Read the existing code and docs that the design must fit
- Read
.claude/skills/architecture.rules.mdand.claude/skills/C4.rules.md
Ask If the PRD Is Unclear
- If a requirement is ambiguous or two requirements conflict:
- Do not guess
- Ask the user and wait for the answers
Split Into Components
- Propose components, each with one responsibility
- Respect the layering rules in
.claude/skills/architecture.rules.md - Show the proposal and wait for user confirmation before writing the docs
Write the Overview
- Create
<DOCS_DIR>/02-design.architecture.md - Follow the template
.claude/templates/project_design.template.md - Show the context and containers with a PlantUML C4 diagram, per
.claude/skills/C4.rules.md - Map each requirement
R<N>of the PRD to its component- Link each
R<N>to its H3 in the PRD, per.claude/skills/project.rules.mdsection "Link Requirements and Decisions"
- Link each
Write One Doc per Component
- Create
<DOCS_DIR>/02.<N>-design.<component>.mdfor each component - Follow
.claude/skills/project.rules.mdsection "Write a Design Doc" and the template.claude/templates/project_design.template.md - Record each non-obvious choice in
<DOCS_DIR>/03-decisions.md, following the template.claude/templates/project_decisions.template.md- Create the file if it does not exist
- Link each decision from the design docs that follow it, per
.claude/skills/project.rules.mdsection "Link Requirements and Decisions"
Update the Index
- Add a row for each new doc to
<DOCS_DIR>/README.md, if the file exists
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.
- yesterday First seen · 93 lines · 15 tokens per session scan A df90dd4c710a
architecture.write_design is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 15 tokens to every session and 863 once invoked, about $0.0001 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 2026-11-06.
architecture.write_design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| architecture.write_designgpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 15 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |