Borrowing it
Nothing to install: this file belongs to FleetAdmiralJakob/chat-io. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FleetAdmiralJakob/chat-io/main/.github/instructions/convex.instructions.mdgit clone --depth 1 https://github.com/FleetAdmiralJakob/chat-ioWrote 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/instructions/fleetadmiraljakob/chat-io/convex)<a href="https://agentmods.dev/instructions/fleetadmiraljakob/chat-io/convex"><img src="https://agentmods.dev/badge/instructions/fleetadmiraljakob/chat-io/convex.svg" alt="Measured on agentmods" 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 | $0.06803 | $0.06803 |
| Opus 5 | $0.03402 | $0.03402 |
| Sonnet 5 | $0.01361 | $0.01361 |
| Haiku 4.5 | $0.00680 | $0.00680 |
Grade A, and why
chat-io convex.instructions.md 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 3d 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 — 793 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 { v } from "convex/values";
import { query } from "./_generated/server";
export const f = query({
args: {},
returns: v.null(),
handler: async (ctx, args) => {
// Function body
},
});
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 { v } from "convex/values";
import { mutation } from "./_generated/server";
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 { v } from "convex/values";
import { query } from "./_generated/server";
export const exampleQuery = query({
args: {},
returns: v.null(),
handler: async (ctx, args) => {
console.log("This query returns a null value");
return null;
},
});
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.
- 3d ago First seen · 793 lines · 6,803 tokens per session scan A 5007a8be9484
chat-io convex.instructions.md is an instructions file published in the GitHub repository FleetAdmiralJakob/chat-io (10 stars, last pushed today), licensed MIT. It adds 6,803 tokens to every session, about $0.0340 per session on Opus 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 2026-09-04.
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