chat-io: Instructions file for GitHub Copilot

.github/instructions/convex.instructions.md

chat-io convex.instructions.md is an instructions file for GitHub Copilot from FleetAdmiralJakob/chat-io. It costs 6,803 tokens per session, scanned A, original, MIT.

A set of project instructions for writing Convex database functions and HTTP endpoints. Convex is a backend platform; an HTTP endpoint is a URL that accepts requests from applications.

In plain words
What is it for?
Use it when adding or changing Convex queries, mutations, or HTTP routes in the chat-io project.
Why use it?
It gives coding agents the required function syntax, endpoint registration rules, and input-validation patterns for this project.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is FleetAdmiralJakob/chat-io's own configuration. It tells GitHub Copilot how to work on chat-io itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything chat-io configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/FleetAdmiralJakob/chat-io/main/.github/instructions/convex.instructions.md
Clone the repo
git clone --depth 1 https://github.com/FleetAdmiralJakob/chat-io

Made for: GitHub Copilot.

Wrote this? Show the measurements

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README.md
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Per session 6,803 This file is loaded in full into every session.
When invoked 6,803 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.06803 $0.06803
Opus 5 $0.03402 $0.03402
Sonnet 5 $0.01361 $0.01361
Haiku 4.5 $0.00680 $0.00680

Measured 3d ago against content hash 5007a8be9484, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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.

.github/instructions/convex.instructions.md · 793 lines

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.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 { 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;
  },
});

Read the full file on GitHub · 793 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. 3d ago First seen · 793 lines · 6,803 tokens per session scan A 5007a8be9484

Subscribe to this mod's changes

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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