convex

A set of coding rules for Convex, a backend platform for building database-backed applications with TypeScript functions.

In plain words
What is it for?
It guides developers when adding database queries, data-changing operations, actions, HTTP routes, and functions that should remain private.
Why use it?
It keeps Convex functions, HTTP endpoints, and private internal functions written in the required format, reducing syntax and registration mistakes.

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/waynesutton/promptstack/convex
Clone the repo
git clone --depth 1 https://github.com/waynesutton/promptstack

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 4,157 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.04157
Opus 5 $0.00000 $0.02079
Sonnet 5 $0.00000 $0.00831
Haiku 4.5 $0.00000 $0.00416

Measured yesterday against content hash 684ba426232a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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

Copies of this mod

1 near-identical copy found in the catalogue:

.cursor/rules/convex.mdc · 498 lines

How it starts

The opening of the file, as written. The whole thing — 498 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 }); }), });

Function registration

  • Use internalQuery, internalMutation, and internalAction to register internal functions. These functions are private and aren't part of an app's API. They can only be called by other Convex functions.
  • Use query, mutation, and action to register public functions. These functions are part of the public API and are exposed to the public Internet. Do NOT use query, mutation, or action to register sensitive internal functions that should be kept private.
  • You CANNOT register a function through the api or internal objects.
  • ALWAYS include argument and return validators for all Convex functions. If a function doesn't return anything, include returns: v.null() as its output validator.
  • If the JavaScript implementation of a Convex function doesn't have a return value, it implicitly returns null.

Function calling

  • Use ctx.runQuery to call a query from a query, mutation, or action.

  • Use ctx.runMutation to call a mutation from a mutation or action.

  • Use ctx.runAction to call an action from an action.

  • ONLY call an action from another action if you need to cross runtimes (e.g. from V8 to Node). Otherwise, pull out the shared code into a helper async function and call that directly instead.

  • Try to use as few calls from actions to queries and mutations as possible. Queries and mutations are transactions, so splitting logic up into multiple calls introduces the risk of race conditions.

  • All of these calls take in a FunctionReference. Do NOT try to pass the callee function directly into one of these calls.

  • When using ctx.runQuery, ctx.runMutation, or ctx.runAction to call a function in the same file, specify a type annotation on the return value to work around TypeScript circularity limitations. For example, ``` export const f = query({ args: { name: v.string() }, returns: v.string(), handler: async (ctx, args) => { return "Hello " + args.name; }, });

                          export const g = query({
                            args: {},
                            returns: v.null(),
                            handler: async (ctx, args) => {
                              const result: string = await ctx.runQuery(api.example.f, { name: "Bob" });
                              return null;
                            },
                          });
                          ```
    

Read the full file on GitHub · 498 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. yesterday First seen · 498 lines · 0 tokens per session scan A 684ba426232a

Subscribe to this mod's changes

convex is a cursor rule published in the GitHub repository waynesutton/promptstack (76 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,157 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.