convexRules

convexRules is a cursor rule for Windsurf from HomenShum/NodeBenchAI. It costs 0 tokens per session (6,181 once invoked), scanned A, a copy of convex-cursorrules-prompt-file, MIT.

A set of coding rules for Convex, a platform for building applications with database functions and HTTP endpoints. It specifies the newer function syntax, endpoint registration style, and input validators.

In plain words
What is it for?
Use it when writing or reviewing Convex queries, mutations, HTTP endpoints, and validators.
Why use it?
It prevents inconsistent or outdated Convex code from being added to a project. It also makes endpoint paths and accepted data shapes explicit.

Cursor rule for Windsurf

Written for Windsurf: installed under .windsurf/.

Good fit Use it when writing or reviewing Convex queries, mutations, HTTP endpoints, and validators.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/homenshum/nodebenchai/convexrules
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.

Clone the repo
git clone --depth 1 https://github.com/HomenShum/NodeBenchAI

Made for: Windsurf.

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.

agentmods badge for convexRules

README.md
[![agentmods](https://agentmods.dev/badge/rules/homenshum/nodebenchai/convexrules/github.svg)](https://agentmods.dev/rules/homenshum/nodebenchai/convexrules)
Your own site
<a href="https://agentmods.dev/rules/homenshum/nodebenchai/convexrules"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/convexrules/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.

agentmods 80×15 button for convexRules

Your own site · 80×15
<a href="https://agentmods.dev/rules/homenshum/nodebenchai/convexrules"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/convexrules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 6,181 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.
Origin 94% copy Near-identical to another mod 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.06181
Opus 5.5 $0.00000 $0.02472
Sonnet 5.5 $0.00000 $0.01236
Haiku 4.5 $0.00000 $0.00618

Measured 1mo ago against content hash e3277f6218dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

convexRules 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 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.

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.

Origin

This is a copy

94% identical to convex-cursorrules-prompt-file — 344 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.

.windsurf/rules/convexRules.md · 676 lines

How it starts

The opening of the file, as written. The whole thing — 676 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Convex guidelines

Function guidelines

New function syntax

  • ALWAYS use the new function syntax for Convex functions. For example:
import { query } from "./_generated/server";
import { v } from "convex/values";
export const f = query({
    args: {},
    returns: v.null(),
    handler: async (ctx, args) => {
    // Function body
    },
});

Http endpoint syntax

  • HTTP endpoints are defined in convex/http.ts and require an httpAction decorator. For example:
import { httpRouter } from "convex/server";
import { httpAction } from "./_generated/server";
const http = httpRouter();
http.route({
    path: "/echo",
    method: "POST",
    handler: httpAction(async (ctx, req) => {
    const body = await req.bytes();
    return new Response(body, { status: 200 });
    }),
});
  • HTTP endpoints are always registered at the exact path you specify in the path field. For example, if you specify /api/someRoute, the endpoint will be registered at /api/someRoute.

Validators

  • Below is an example of an array validator:
import { mutation } from "./_generated/server";
import { v } from "convex/values";

export default mutation({
args: {
    simpleArray: v.array(v.union(v.string(), v.number())),
},
handler: async (ctx, args) => {
    //...
},
});
  • Below is an example of a schema with validators that codify a discriminated union type:
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";

export default defineSchema({
    results: defineTable(
        v.union(
            v.object({
                kind: v.literal("error"),
                errorMessage: v.string(),
            }),
            v.object({
                kind: v.literal("success"),
                value: v.number(),
            }),
        ),
    )
});
  • Always use the v.null() validator when returning a null value. Below is an example query that returns a null value:
import { query } from "./_generated/server";
import { v } from "convex/values";

export const exampleQuery = query({
  args: {},
  returns: v.null(),
  handler: async (ctx, args) => {
      console.log("This query returns a null value");
      return null;
  },
});
  • Here are the valid Convex types along with their respective validators: Convex Type | TS/JS type | Example Usage | Validator for argument validation and schemas | Notes | | ----------- | ------------| -----------------------| -----------------------------------------------| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Id | string | doc._id | v.id(tableName) | | | Null | null | null | v.null() | JavaScript's undefined is not a valid Convex value. Functions the return undefined or do not return will return null when called from a client. Use null instead. | | Int64 | bigint | 3n | v.int64() | Int64s only support BigInts between -2^63 and 2^63-1. Convex supports bigints in most modern browsers. | | Float64 | number | 3.1 | v.number() | Convex supports all IEEE-754 double-precision floating point numbers (such as NaNs). Inf and NaN are JSON serialized as strings. | | Boolean | boolean | true | v.boolean() | | String | string | "abc" | v.string() | Strings are stored as UTF-8 and must be valid Unicode sequences. Strings must be smaller than the 1MB total size limit when encoded as UTF-8. | | Bytes | ArrayBuffer | new ArrayBuffer(8) | v.bytes() | Convex supports first class bytestrings, passed in as ArrayBuffers. Bytestrings must be smaller than the 1MB total size limit for Convex types. | | Array | Array | [1, 3.2, "abc"] | v.array(values) | Arrays can have at most 8192 values. | | Object | Object | {a: "abc"} | v.object({property: value}) | Convex only supports "plain old JavaScript objects" (objects that do not have a custom prototype). Objects can have at most 1024 entries. Field names must be nonempty and not start with "$" or "". | | Record | Record | {"a": "1", "b": "2"} | v.record(keys, values) | Records are objects at runtime, but can have dynamic keys. Keys must be only ASCII characters, nonempty, and not start with "$" or "". |

Read the full file on GitHub · 676 lines

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.

  1. 1mo ago First seen · 676 lines · 0 tokens per session scan A e3277f6218dc

Subscribe to this mod's changes

convexRules is a cursor rule published in the GitHub repository HomenShum/NodeBenchAI (15 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,181 tokens. A static security scan graded it A with 0 findings. It is 94% identical to convex-cursorrules-prompt-file, differing in 344 lines, and is treated as a copy.