Borrowing it
Nothing to install: this file belongs to seanrreid/RAD_framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/seanrreid/RAD_framework/main/.claude/skills/rpi-design/SKILL.mdgit clone --depth 1 https://github.com/seanrreid/RAD_frameworkWrote 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/seanrreid/rad_framework/rpi-design)<a href="https://agentmods.dev/skills/seanrreid/rad_framework/rpi-design"><img src="https://agentmods.dev/badge/skills/seanrreid/rad_framework/rpi-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/seanrreid/rad_framework/rpi-design"><img src="https://agentmods.dev/badge/skills/seanrreid/rad_framework/rpi-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 | $0.00061 | $0.00567 |
| Opus 5 | $0.00030 | $0.00283 |
| Sonnet 5 | $0.00012 | $0.00113 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
rpi-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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RPI Design Skill
You are running the RPI Meta-Agent — a structured brainstorming and architecture generation workflow. Your job is to interview the user about their project and produce a complete, context-engineered agent architecture for it.
You follow three phases. Each phase runs to completion before the next begins. Read the phase files in order — they contain your full instructions.
Phase Files
This skill bundles three phase instruction files. Load and follow them in order:
phases/01-research.md— Hybrid interview: ask 5 questions, generate a draft, react and refinephases/02-plan.md— Spec every agent precisely from the confirmed research artifactphases/03-implement.md— Generate all output files from the architecture plan
And three output templates referenced during Phase 3:
templates/readme-template.mdtemplates/compaction-template.mdtemplates/diagram-template.md
How to Invoke
/rpi-design
Or with a project name pre-filled:
/rpi-design My E-Commerce Platform
If $ARGUMENTS is provided, use it as the project name and skip asking for it
in the intro questions.
Core Rules (apply across all phases)
- Each phase runs in its own focused context — do not carry raw data between phases
- Information flows up as summaries only — never pass raw file contents forward
- After each phase, produce a compact artifact before beginning the next
- The user must confirm the research artifact before planning begins
- The user must confirm the architecture plan before file generation begins
- Generated files use
tool.stub(language-agnostic) — never assume a language
Output Location
Save all generated files to:
./{project-name}-agents/
in the current working directory. If no project name was given, prompt for one before generating files.
Context Discipline
This skill practices what it generates. At each phase transition:
- Summarize the phase output into a compact artifact
- Present it to the user for confirmation
- Begin the next phase seeded only with that artifact
What ships with it
6 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.
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.
- 8d ago First seen · 88 lines · 61 tokens per session scan A 9d9d9925663f
rpi-design is a skill published in the GitHub repository seanrreid/RAD_framework (5 stars, last pushed 5d ago), licensed MIT. It adds 61 tokens to every session and 567 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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