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.
git clone --depth 1 https://github.com/johnpolacek/vibecode.party.starterWrote 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/johnpolacek/vibecode.party.starter/201-convex)<a href="https://agentmods.dev/rules/johnpolacek/vibecode.party.starter/201-convex"><img src="https://agentmods.dev/badge/rules/johnpolacek/vibecode.party.starter/201-convex/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/rules/johnpolacek/vibecode.party.starter/201-convex"><img src="https://agentmods.dev/badge/rules/johnpolacek/vibecode.party.starter/201-convex.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 | $0.00000 | $0.00972 |
| Opus 5.5 | $0.00000 | $0.00389 |
| Sonnet 5.5 | $0.00000 | $0.00194 |
| Haiku 4.5 | $0.00000 | $0.00097 |
Grade A, and why
201-convex 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 2mo 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Implementation Guide
Setup & Configuration
Convex Project Initialization
- Install Convex CLI
pnpm add convex pnpm dlx convex dev - Initialize Convex
pnpm dlx convex init - Configure Convex URL
- Add
NEXT_PUBLIC_CONVEX_URLto your.envfile.
- Add
Directory Structure
- Place Convex schema and functions in
/convex/ - Place Convex client config in
/lib/convex/ - Place service wrappers in
/lib/services/
Implementation Patterns
Convex Schema & Functions
Define your schema and backend logic in /convex/schema.ts and /convex/[module].ts:
// convex/schema.ts
import { defineSchema, v } from "convex/schema";
export default defineSchema({
visits: {
path: v.string(),
userId: v.optional(v.string()),
metadata: v.any(),
createdAt: v.number(),
updatedAt: v.number(),
indexes: [
{ fields: ["userId", "_creationTime"] },
{ fields: ["path", "_creationTime"] },
{ fields: ["createdAt", "_creationTime"] },
],
},
});
// convex/visits.ts
import { mutation, query } from "convex/server";
import { v } from "convex/values";
export const recordVisit = mutation({
args: {
path: v.string(),
userId: v.optional(v.string()),
metadata: v.any(),
createdAt: v.number(),
updatedAt: v.number(),
},
handler: async (ctx, args) => {
return await ctx.db.insert("visits", args);
},
});
export const getVisitsByUser = query({
args: { userId: v.string(), limit: v.optional(v.number()) },
handler: async (ctx, args) => {
return await ctx.db
.query("visits")
.withIndex("by_user", (q) => q.eq("userId", args.userId))
.order("desc")
.take(args.limit ?? 10);
},
});
Service Layer Pattern
Create service functions to wrap Convex client calls:
// lib/services/visits.ts
import { api } from "@/convex/_generated/api";
import { ConvexReactClient } from "convex/react";
const convex = new ConvexReactClient(process.env.NEXT_PUBLIC_CONVEX_URL!);
export async function recordVisit(args) {
return convex.mutation(api.visits.recordVisit, args);
}
export async function getVisitsByUser(userId, limit = 10) {
return convex.query(api.visits.getVisitsByUser, { userId, limit });
}
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.
- 2mo ago First seen · 160 lines · 0 tokens per session scan A ed243acbd6c6
201-convex is a cursor rule published in the GitHub repository johnpolacek/vibecode.party.starter (26 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 972 tokens. 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 2026-08-30.
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Scalable and secure schema design patterns for relational databases, NoSQL, and APIs. / TR: İlişkisel veri tabanları, NoSQL ve API'ler için ölçeklenebilir ve güvenli şema tasarım kalıpları.