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.
npx skills add J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill convex-functionsgit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/skills/j-star-films-studios/vibecode-protocol-suite/convex-functions)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/convex-functions"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/convex-functions/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/skills/j-star-films-studios/vibecode-protocol-suite/convex-functions"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/convex-functions.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 | $0.00028 | $0.02870 |
| Opus 5.5 | $0.00011 | $0.01148 |
| Sonnet 5.5 | $0.00006 | $0.00574 |
| Haiku 4.5 | $0.00003 | $0.00287 |
Grade B, and why
convex-functions scanned grade B with 1 finding 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
const response = await fetch("https://api.email.com/send", { method: "POST", This is a copy
100% identical to convex-functions — 0 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.
How it starts
The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Functions
Master Convex functions including queries, mutations, actions, and HTTP endpoints with proper validation, error handling, and runtime considerations.
Code Quality
All examples in this skill comply with @convex-dev/eslint-plugin rules:
- Object syntax with
handlerproperty - Argument validators on all functions
- Explicit table names in database operations
See the Code Quality section in convex-best-practices for linting setup.
Documentation Sources
Before implementing, do not assume; fetch the latest documentation:
- Primary: https://docs.convex.dev/functions
- Query Functions: https://docs.convex.dev/functions/query-functions
- Mutation Functions: https://docs.convex.dev/functions/mutation-functions
- Actions: https://docs.convex.dev/functions/actions
- HTTP Actions: https://docs.convex.dev/functions/http-actions
- For broader context: https://docs.convex.dev/llms.txt
Instructions
Function Types Overview
| Type | Database Access | External APIs | Caching | Use Case |
|---|---|---|---|---|
| Query | Read-only | No | Yes, reactive | Fetching data |
| Mutation | Read/Write | No | No | Modifying data |
| Action | Via runQuery/runMutation | Yes | No | External integrations |
| HTTP Action | Via runQuery/runMutation | Yes | No | Webhooks, APIs |
Queries
Queries are reactive, cached, and read-only:
import { query } from "./_generated/server";
import { v } from "convex/values";
export const getUser = query({
args: { userId: v.id("users") },
returns: v.union(
v.object({
_id: v.id("users"),
_creationTime: v.number(),
name: v.string(),
email: v.string(),
}),
v.null(),
),
handler: async (ctx, args) => {
return await ctx.db.get("users", args.userId);
},
});
// Query with index
export const listUserTasks = query({
args: { userId: v.id("users") },
returns: v.array(
v.object({
_id: v.id("tasks"),
_creationTime: v.number(),
title: v.string(),
completed: v.boolean(),
}),
),
handler: async (ctx, args) => {
return await ctx.db
.query("tasks")
.withIndex("by_user", (q) => q.eq("userId", args.userId))
.order("desc")
.collect();
},
});
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 459 lines · 28 tokens per session scan B e7a5debd1491
convex-functions is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (25 stars, last pushed 9d ago), licensed ISC. It adds 28 tokens to every session and 2,870 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (sends data to an external url). It is 100% identical to convex-functions, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
convex-functions
Writing queries, mutations, actions, and HTTP actions with proper argument validation, error handling, internal functions, and runtime considerations.
convex-http-actions
External API integration and webhook handling including HTTP endpoint routing, request/response handling, authentication, CORS configuration, and webhook signature validation.
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Expert guide for Linear-style Reactive Sync Engines (Zero by Rocicorp, ElectricSQL, PowerSync), Postgres Logical Replication to IndexedDB/SQLite, sub-millisecond optimistic mutations, and server reconciliation / Panduan ahli mesin sinkronisasi reaktif gaya Linear, replikasi logis Postgres ke klien, dan mutasi optimis…
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system-and-data-design
Decide whether the system will hold, and where the data lives: requirements and load first, then back-of-the-envelope numbers, building blocks (cache, queue, load balancer, CDN), and the data layer in depth — storage engines, indexes, replication, partitioning, transactions and consistency, batch vs stream. Use when…
convex-create-component
Designs and builds Convex components with isolated tables, clear boundaries, and app-facing wrappers. Use this skill when creating a new Convex component, extracting reusable backend logic into a component, building a third-party integration that owns its own tables, packaging Convex functionality for reuse, or when…