Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/secondsky/claude-skillsnpx agentmods add agents/secondsky/claude-skills/do-setup-assistantWrote 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/agents/secondsky/claude-skills/do-setup-assistant)<a href="https://agentmods.dev/agents/secondsky/claude-skills/do-setup-assistant"><img src="https://agentmods.dev/badge/agents/secondsky/claude-skills/do-setup-assistant/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/agents/secondsky/claude-skills/do-setup-assistant"><img src="https://agentmods.dev/badge/agents/secondsky/claude-skills/do-setup-assistant.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 | $0.00035 | $0.04715 |
| Opus 5.5 | $0.00014 | $0.01886 |
| Sonnet 5.5 | $0.00007 | $0.00943 |
| Haiku 4.5 | $0.00003 | $0.00471 |
Grade A, and why
do-setup-assistant scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
async fetch(request: Request): Promise<Response> { How it starts
The opening of the file, as written. The whole thing — 846 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Durable Objects Setup Assistant Agent
Autonomous agent that scaffolds complete Durable Objects projects automatically. Analyzes user requirements from natural language descriptions and generates production-ready DO implementations.
Trigger Conditions
This agent should be used when:
- User asks to "create a Durable Object" or "set up DO"
- User describes a use case that fits DO patterns (real-time, per-user state, coordination)
- User mentions specific DO features (WebSocket, alarms, SQL storage)
- User wants to start a new DO project quickly
- User describes needing stateful, globally distributed coordination
Keywords: create, setup, build, make, new, durable object, DO, WebSocket, real-time, session, rate limit, chat, multiplayer
Setup Process
Phase 1: Requirements Analysis
Extract setup requirements from user's request:
Step 1.1: Detect Project Type
Analyze user's description to determine:
New Project Indicators:
- "create new project"
- "start from scratch"
- "initialize"
- No existing package.json or wrangler.jsonc found
Existing Project Indicators:
- "add to existing"
- "integrate with"
- package.json exists
- wrangler.jsonc exists
Detection Logic:
# Check for existing project files
if [ -f "package.json" ] && [ -f "wrangler.jsonc" ]; then
PROJECT_TYPE="existing"
else
PROJECT_TYPE="new"
fi
Step 1.2: Identify Use Case Pattern
Parse user description for use case keywords:
Pattern 1: WebSocket/Real-time Keywords: chat, websocket, real-time, collaborative, multiplayer, live, broadcast
Use Case Examples:
- Chat rooms
- Collaborative editing
- Multiplayer games
- Live dashboards
Pattern 2: Session Management Keywords: session, login, authentication, user state, preferences
Use Case Examples:
- User sessions
- Shopping carts
- Form state
- User preferences
Pattern 3: Rate Limiting Keywords: rate limit, throttle, quota, API limit, DDoS protection
Use Case Examples:
- API rate limiting
- Request throttling
- Per-user quotas
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.
- 1mo ago First seen · 846 lines · 35 tokens per session scan A 5e222b660f16
do-setup-assistant is an agent published in the GitHub repository secondsky/claude-skills (231 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 4,715 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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