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/HomenShum/NodeBenchAIWrote 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/homenshum/nodebenchai/convex_rules)<a href="https://agentmods.dev/rules/homenshum/nodebenchai/convex_rules"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/convex_rules/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/homenshum/nodebenchai/convex_rules"><img src="https://agentmods.dev/badge/rules/homenshum/nodebenchai/convex_rules.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 | $0.04645 | $0.04645 |
| Opus 5.5 | $0.01858 | $0.01858 |
| Sonnet 5.5 | $0.00929 | $0.00929 |
| Haiku 4.5 | $0.00464 | $0.00464 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex guidelines
Function guidelines
Http endpoint syntax
- HTTP endpoints are defined in
convex/http.tsand require anhttpActiondecorator. 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
pathfield. 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(),
}),
),
),
});
- 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._idv.id(tableName)Null null nullv.null()JavaScript's undefinedis not a valid Convex value. Functions the returnundefinedor do not return will returnnullwhen called from a client. Usenullinstead.Int64 bigint 3nv.int64()Int64s only support BigInts between -2^63 and 2^63-1. Convex supports bigints in most modern browsers.Float64 number 3.1v.number()Convex supports all IEEE-754 double-precision floating point numbers (such as NaNs). Inf and NaN are JSON serialized as strings. Boolean boolean truev.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 "_". |
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.
- 1mo ago First seen · 371 lines · 4,645 tokens per session scan A 1630409c6140
convex_rules is a cursor rule published in the GitHub repository HomenShum/NodeBenchAI (15 stars, last pushed today), licensed MIT. It adds 4,645 tokens to every session, about $0.0186 per session on Opus 5.5. 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 2026-08-30.
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