A set of instructions for advising on the design of cloud, data, and SaaS systems. It compares technical choices and considers scaling, cost, data storage, multiple customers, APIs, and reliability.

Use it to compare options, review an architecture, assess how a feature will scale, plan data architecture, or evaluate cloud infrastructure.

It helps turn architecture questions into explicit trade-offs instead of relying on a one-size-fits-all answer. It first checks the project’s actual technology stack.

architect — Skill for Claude Code and Codex by rajitsaha

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 rajitsaha/100xprism --skill architect

Clone the repo

git clone --depth 1 https://github.com/rajitsaha/100xprism

Made for: Claude Code, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/rajitsaha/100xprism/architect.svg)](https://agentmods.dev/skills/rajitsaha/100xprism/architect)

Your own site

<a href="https://agentmods.dev/skills/rajitsaha/100xprism/architect"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/architect.svg" alt="Measured on agentmods" height="20"></a>

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,792 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 7
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00074	$0.02792
Opus 5	$0.00037	$0.01396
Sonnet 5	$0.00015	$0.00558
Haiku 4.5	$0.00007	$0.00279

Measured 7d ago against content hash 9269ea49ad4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

architect 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 7d 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.

.agents/skills/architect/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect — Cloud, Data & SaaS Distributed Architecture Advisor

Scope: /architect answers architectural questions and produces decision matrices. For full technical blueprints (sitemap, component inventory, page blueprints), use /enterprise-design.

Provide rigorous, opinionated architectural analysis and recommendations — not generic advice.

How to use

/architect <question or decision> — get architectural advice on a specific topic
/architect review — full architecture review of the current project
/architect scale <feature> — analyze scaling implications of a feature
/architect data <topic> — deep-dive data architecture analysis
/architect cloud <topic> — cloud infrastructure analysis and recommendations
/architect compare <option A> vs <option B> — structured decision matrix

Step 1 — Load project context

Detect the stack first (canonical block — source: _lib/reference.md), then read the instruction file. Do not assume GCP/Firebase/npm — branch on what is detected.

PROJECT_ROOT=$(git rev-parse --show-toplevel); cd "$PROJECT_ROOT"
INSTRUCTION_FILE=$(for f in CLAUDE.md AGENTS.md .cursorrules; do [ -f "$PROJECT_ROOT/$f" ] && echo "$PROJECT_ROOT/$f" && break; done)

# Cloud provider: gcp | aws | azure | vercel | "" (config / IaC / instruction-file grep — no network)
CLOUD=""
if command -v gcloud >/dev/null 2>&1 && gcloud config get-value project >/dev/null 2>&1; then CLOUD=gcp; fi
[ -z "$CLOUD" ] && ls "$PROJECT_ROOT"/.vercel >/dev/null 2>&1 && CLOUD=vercel
[ -z "$CLOUD" ] && grep -rqiE "aws_|amazonaws|cdk\.json|::aws" "$PROJECT_ROOT"/terraform "$PROJECT_ROOT"/infra "$PROJECT_ROOT"/cdk.json 2>/dev/null && CLOUD=aws
[ -z "$CLOUD" ] && grep -rqiE "azurerm|azure-|microsoft\.web" "$PROJECT_ROOT"/terraform "$PROJECT_ROOT"/infra 2>/dev/null && CLOUD=azure
if [ -z "$CLOUD" ] && [ -n "$INSTRUCTION_FILE" ]; then
  grep -qiE "gcloud|Cloud Run|Cloud SQL|Firebase|GCP_PROJECT" "$INSTRUCTION_FILE" && CLOUD=gcp
  [ -z "$CLOUD" ] && grep -qiE "\baws\b|lambda|dynamodb|ecs|fargate" "$INSTRUCTION_FILE" && CLOUD=aws
fi
echo "cloud=${CLOUD:-unknown}"
[ -n "$INSTRUCTION_FILE" ] && head -100 "$INSTRUCTION_FILE" 2>/dev/null

Read the full file on GitHub · 276 lines

Files

What ships with it

1 file 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.

.100xprism-generated 89 B

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.

7d ago First seen · 276 lines · 74 tokens per session scan A 9269ea49ad4b

Subscribe to this mod's changes

architect is a skill published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 7d ago), licensed MIT. It adds 74 tokens to every session and 2,792 once invoked, about $0.0004 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.

Cloud DevOps and cloud Planning agentic-coding ai-agents ai-coding ai-developer-tools ai-workflows antigravity docs

architect

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

Architect — Cloud, Data & SaaS Distributed Architecture Advisor

How to use

Step 1 — Load project context

What ships with it

What this file has done since we first saw it

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