Borrowing it
Nothing to install: this file belongs to ly1836/spring-ai-rag-demo. 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/ly1836/spring-ai-rag-demo/main/.cursor/skills/openspec-onboard/SKILL.mdgit clone --depth 1 https://github.com/ly1836/spring-ai-rag-demoWrote 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/ly1836/spring-ai-rag-demo/openspec-onboard)<a href="https://agentmods.dev/skills/ly1836/spring-ai-rag-demo/openspec-onboard"><img src="https://agentmods.dev/badge/skills/ly1836/spring-ai-rag-demo/openspec-onboard/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/ly1836/spring-ai-rag-demo/openspec-onboard"><img src="https://agentmods.dev/badge/skills/ly1836/spring-ai-rag-demo/openspec-onboard.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 | $0.00026 | $0.03323 |
| Opus 5 | $0.00013 | $0.01662 |
| Sonnet 5 | $0.00005 | $0.00665 |
| Haiku 4.5 | $0.00003 | $0.00332 |
Grade A, and why
openspec-onboard 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 12d 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.
This is a copy
73% identical to openspec-onboard — 116 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 555 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Guide the user through their first complete OpenSpec workflow cycle. This is a teaching experience—you'll do real work in their codebase while explaining each step.
Preflight
Before starting, check if the OpenSpec CLI is installed:
# Unix/macOS
openspec --version 2>&1 || echo "CLI_NOT_INSTALLED"
# Windows (PowerShell)
# if (Get-Command openspec -ErrorAction SilentlyContinue) { openspec --version } else { echo "CLI_NOT_INSTALLED" }
If CLI not installed:
OpenSpec CLI is not installed. Install it first, then come back to
/opsx:onboard.
Stop here if not installed.
Phase 1: Welcome
Display:
## Welcome to OpenSpec!
I'll walk you through a complete change cycle—from idea to implementation—using a real task in your codebase. Along the way, you'll learn the workflow by doing it.
**What we'll do:**
1. Pick a small, real task in your codebase
2. Explore the problem briefly
3. Create a change (the container for our work)
4. Build the artifacts: proposal → specs → design → tasks
5. Implement the tasks
6. Archive the completed change
**Time:** ~15-20 minutes
Let's start by finding something to work on.
Phase 2: Task Selection
Codebase Analysis
Scan the codebase for small improvement opportunities. Look for:
- TODO/FIXME comments - Search for
TODO,FIXME,HACK,XXXin code files - Missing error handling -
catchblocks that swallow errors, risky operations without try-catch - Functions without tests - Cross-reference
src/with test directories - Type issues -
anytypes in TypeScript files (: any,as any) - Debug artifacts -
console.log,console.debug,debuggerstatements in non-debug code - Missing validation - User input handlers without validation
Also check recent git activity:
# Unix/macOS
git log --oneline -10 2>/dev/null || echo "No git history"
# Windows (PowerShell)
# git log --oneline -10 2>$null; if ($LASTEXITCODE -ne 0) { echo "No git history" }
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.
- 12d ago First seen · 555 lines · 26 tokens per session scan A 6379a4e12dd6
openspec-onboard is a skill published in the GitHub repository ly1836/spring-ai-rag-demo (86 stars, last pushed 3d ago), licensed Apache-2.0. It adds 26 tokens to every session and 3,323 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 73% identical to openspec-onboard, differing in 116 lines, and is treated as a copy.
Other skills, from other repositories
docker-expert
Expert-level Docker containerization, image optimization, and container orchestration. Use this skill for building efficient Docker images, managing containers, and implementing Docker best practices.
clawrouter
Hosted-gateway LLM router — save 84% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest capable model across 78 models from OpenAI, Anthropic, Google, DeepSeek, xAI, Z.AI, and more. 7 free open-weight models included. Also exposes realtime market data…
surf
Use this skill — NOT browser or webfetch — for ALL Surf crypto-data calls. 83 endpoints at localhost:8402/v1/surf/ covering CEX/DEX markets, on-chain SQL over 80+ ClickHouse tables (Ethereum, Base, Arbitrum, BSC, TRON, HyperEVM, Tempo), 100M+ labeled wallets, prediction markets (Polymarket + Kalshi), social/CT…
phone
Verify phone numbers (carrier + SIM-swap fraud signals) and place AI-powered outbound voice calls via BlockRun's gateway (Twilio + Bland.ai). Trigger when the user asks to look up a number, check fraud risk, buy/rent a phone number, or place an AI voice call. Payment is automatic via x402 from the wallet.
imagegen
Generate or edit images via BlockRun's image API. Trigger when the user asks to generate, create, draw, make an image — or to edit, modify, change, or retouch an existing image.
polymarket-trading
Use when the user wants to actually PLACE, manage, or redeem bets on Polymarket (not just read odds — that's the blockrunpredexon data tools). Covers setup (deposit wallet, funding, approvals), buy/sell with confirm gating, positions, redeeming winnings, geoblock handling, and the end-to-end flow.