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-schema-validatorgit 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-schema-validator)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/convex-schema-validator"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/convex-schema-validator/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-schema-validator"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/convex-schema-validator.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 | $0.00029 | $0.02554 |
| Opus 5 | $0.00015 | $0.01277 |
| Sonnet 5 | $0.00006 | $0.00511 |
| Haiku 4.5 | $0.00003 | $0.00255 |
Grade A, and why
convex-schema-validator 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 6d 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.
This is a copy
100% identical to convex-schema-validator — 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Schema Validator
Define and validate database schemas in Convex with proper typing, index configuration, optional fields, unions, and strategies for schema migrations.
Documentation Sources
Before implementing, do not assume; fetch the latest documentation:
- Primary: https://docs.convex.dev/database/schemas
- Indexes: https://docs.convex.dev/database/indexes
- Data Types: https://docs.convex.dev/database/types
- For broader context: https://docs.convex.dev/llms.txt
Instructions
Basic Schema Definition
// convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
users: defineTable({
name: v.string(),
email: v.string(),
avatarUrl: v.optional(v.string()),
createdAt: v.number(),
}),
tasks: defineTable({
title: v.string(),
description: v.optional(v.string()),
completed: v.boolean(),
userId: v.id("users"),
priority: v.union(
v.literal("low"),
v.literal("medium"),
v.literal("high")
),
}),
});
Validator Types
| Validator | TypeScript Type | Example |
|---|---|---|
v.string() |
string |
"hello" |
v.number() |
number |
42, 3.14 |
v.boolean() |
boolean |
true, false |
v.null() |
null |
null |
v.int64() |
bigint |
9007199254740993n |
v.bytes() |
ArrayBuffer |
Binary data |
v.id("table") |
Id<"table"> |
Document reference |
v.array(v) |
T[] |
[1, 2, 3] |
v.object({}) |
{ ... } |
{ name: "..." } |
v.optional(v) |
T | undefined |
Optional field |
v.union(...) |
T1 | T2 |
Multiple types |
v.literal(x) |
"x" |
Exact value |
v.any() |
any |
Any value |
v.record(k, v) |
Record<K, V> |
Dynamic keys |
Index Configuration
export default defineSchema({
messages: defineTable({
channelId: v.id("channels"),
authorId: v.id("users"),
content: v.string(),
sentAt: v.number(),
})
// Single field index
.index("by_channel", ["channelId"])
// Compound index
.index("by_channel_and_author", ["channelId", "authorId"])
// Index for sorting
.index("by_channel_and_time", ["channelId", "sentAt"]),
// Full-text search index
articles: defineTable({
title: v.string(),
body: v.string(),
category: v.string(),
})
.searchIndex("search_content", {
searchField: "body",
filterFields: ["category"],
}),
});
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.
- 6d ago First seen · 401 lines · 29 tokens per session scan A 97c8539f19f9
convex-schema-validator is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed 5d ago), licensed ISC. It adds 29 tokens to every session and 2,554 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to convex-schema-validator, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
convex-schema-validator
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes.
prisma-orm
Use when modeling data or writing type-safe queries with Prisma ORM in TypeScript — schema.prisma, prisma.config.ts, the generated Prisma Client, and Prisma Migrate, including the v6 to v7 upgrade. NOT schema-as-TS with a SQL builder (that is drizzle-orm), NOT ORM-agnostic zero-downtime migration (that is…
drizzle-orm
Use when modeling data or querying with Drizzle ORM in TypeScript — pgTable schema in .ts, type-safe select/insert/relational queries, drizzle-kit migrations. NOT Prisma Client or schema.prisma (that is prisma-orm), NOT ORM-agnostic migration strategy (that is db-migrations), NOT Postgres engine tuning or EXPLAIN…
convex-migrations
Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns.
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…
convex-quickstart
Initializes a new Convex project from scratch or adds Convex to an existing app. Use this skill when starting a new project with Convex, scaffolding with npm create convex@latest, adding Convex to an existing React, Next.js, Vue, Svelte, or other frontend, wiring up ConvexProvider, configuring environment variables…