ferix: Skill for Claude Code

.claude/skills/Convex Schema Validator/SKILL.md

Convex Schema Validator is a skill for Claude Code from charlietlamb/ferix. It costs 29 tokens per session (2,547 once invoked), scanned A, a copy of convex-schema-validator, MIT.

A tool for defining and checking the shape of data in Convex database tables. A schema describes fields, their types, optional values, allowed alternatives, and indexes for finding records.

In plain words
What is it for?
Use it to create table schemas, validate inputs, configure indexes, model optional or union fields, and manage schema changes.
Why use it?
It catches invalid data and makes database changes easier to plan, type, and migrate safely.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is charlietlamb/ferix's own configuration. It tells Claude Code how to work on ferix 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 ferix configures →

Reuse

Borrowing it

Nothing to install: this file belongs to charlietlamb/ferix. 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/charlietlamb/ferix/main/.claude/skills/Convex Schema Validator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/charlietlamb/ferix

Made for: Claude Code.

Wrote 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.

agentmods badge for Convex Schema Validator

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlietlamb/ferix/convex-schema-validator/github.svg)](https://agentmods.dev/skills/charlietlamb/ferix/convex-schema-validator)
Your own site
<a href="https://agentmods.dev/skills/charlietlamb/ferix/convex-schema-validator"><img src="https://agentmods.dev/badge/skills/charlietlamb/ferix/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.

agentmods 80×15 button for Convex Schema Validator

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlietlamb/ferix/convex-schema-validator"><img src="https://agentmods.dev/badge/skills/charlietlamb/ferix/convex-schema-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,547 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00029 $0.02547
Opus 5 $0.00015 $0.01273
Sonnet 5 $0.00006 $0.00509
Haiku 4.5 $0.00003 $0.00255

Measured 9d ago against content hash afe8950d358b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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 9d 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.

Origin

This is a copy

100% identical to convex-schema-validator — 3 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.

.claude/skills/Convex Schema Validator/SKILL.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 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:

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"],
    }),
});

Read the full file on GitHub · 400 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. 9d ago First seen · 400 lines · 29 tokens per session scan A afe8950d358b

Subscribe to this mod's changes

Convex Schema Validator is a skill published in the GitHub repository charlietlamb/ferix (10 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 2,547 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 3 lines, and is treated as a copy.

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