convex_rules

convex_rules is a cursor rule for Cursor from johnpolacek/vibecode.party.starter. It costs 0 tokens per session (6,292 once invoked), scanned A, a copy of convex-cursorrules-prompt-file, MIT.

Coding rules for Convex projects, where Convex provides the database functions and web endpoints behind an application. They cover the newer syntax for queries and changes, HTTP routes, and validation of input values.

In plain words
What is it for?
Use them when creating or changing Convex queries, mutations, HTTP endpoints, validators, database schemas, or related TypeScript code.
Why use it?
They help prevent mistakes in Convex function definitions, endpoint paths, and data validation. Following them keeps new code aligned with the project’s required conventions.

Cursor rule for Cursor

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.

agentmods
npx agentmods add rules/johnpolacek/vibecode.party.starter/convex_rules
Clone the repo
git clone --depth 1 https://github.com/johnpolacek/vibecode.party.starter

Made for: Cursor.

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 convex_rules

README.md
[![agentmods](https://agentmods.dev/badge/rules/johnpolacek/vibecode.party.starter/convex_rules.svg)](https://agentmods.dev/rules/johnpolacek/vibecode.party.starter/convex_rules)
Your own site
<a href="https://agentmods.dev/rules/johnpolacek/vibecode.party.starter/convex_rules"><img src="https://agentmods.dev/badge/rules/johnpolacek/vibecode.party.starter/convex_rules.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 6,292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 95% 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 $0.00000 $0.06292
Opus 5 $0.00000 $0.03146
Sonnet 5 $0.00000 $0.01258
Haiku 4.5 $0.00000 $0.00629

Measured 4d ago against content hash b1567ae3eb36, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

convex_rules 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 4d 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

95% identical to convex-cursorrules-prompt-file — 7 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.

.cursor/rules/convex_rules.mdc · 677 lines

How it starts

The opening of the file, as written. The whole thing — 677 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: typescript 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: typescript 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: ```typescript 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: ```typescript 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: ```typescript 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 · 677 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. 4d ago First seen · 677 lines · 6,292 tokens per session scan A b1567ae3eb36

Subscribe to this mod's changes

convex_rules is a cursor rule published in the GitHub repository johnpolacek/vibecode.party.starter (27 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,292 tokens. A static security scan graded it A with 0 findings. It is 95% identical to convex-cursorrules-prompt-file, differing in 7 lines, and is treated as a copy.