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 agentmods add rules/linkpranay-ai/context-engineering-protocol/ult-onboarding-indexgit clone --depth 1 https://github.com/linkpranay-ai/context-engineering-protocolWrote 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/rules/linkpranay-ai/context-engineering-protocol/ult-onboarding-index)<a href="https://agentmods.dev/rules/linkpranay-ai/context-engineering-protocol/ult-onboarding-index"><img src="https://agentmods.dev/badge/rules/linkpranay-ai/context-engineering-protocol/ult-onboarding-index.svg" alt="Measured on agentmods" 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 | $0.00206 | $0.00263 |
| Opus 5 | $0.00103 | $0.00131 |
| Sonnet 5 | $0.00041 | $0.00053 |
| Haiku 4.5 | $0.00021 | $0.00026 |
Grade A, and why
ult-onboarding-index 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 5d 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.
What it actually says
ult-onboarding-index
This repository packages its capabilities as portable skills for AI
coding agents. Read .github/skills/ult-onboarding-index/SKILL.md and follow it
when this rule applies.
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.
- 5d ago First seen · 12 lines · 206 tokens per session scan A 4777f8752fc3
ult-onboarding-index is a cursor rule published in the GitHub repository linkpranay-ai/context-engineering-protocol (8 stars, last pushed 2d ago), licensed Apache-2.0. It adds 206 tokens to every session and 263 once invoked, about $0.0010 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.
Other cursor rules, from other repositories
project
Core project context for ai-context-kit.
project
Cursor rule "project" from AKSoftCode/aicrew, covering stack, test command, core rules, file naming and import style.
karpathy-guardrails
Karpathy coding guardrails — think first, simplicity, surgical changes, goal-driven.
no-ai-coauthors
Never attribute commits to AI tools — human author only.
cursorrules
Cursor rule "cursorrules" from googlarz/agents-sync, covering .cursorrules — managed by agents-sync v1.0.0, language: typescript / next.js 14 and run tests: npm test.
style
Code style and API rules for acme-orders.