Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/waynesutton/convexskillsnpx agentmods add skills/waynesutton/convexskills/convex-migrationsWrote 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/waynesutton/convexskills/convex-migrations)<a href="https://agentmods.dev/skills/waynesutton/convexskills/convex-migrations"><img src="https://agentmods.dev/badge/skills/waynesutton/convexskills/convex-migrations/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/waynesutton/convexskills/convex-migrations"><img src="https://agentmods.dev/badge/skills/waynesutton/convexskills/convex-migrations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00035 | $0.04435 |
| Opus 5 | $0.00017 | $0.02218 |
| Sonnet 5 | $0.00007 | $0.00887 |
| Haiku 4.5 | $0.00003 | $0.00443 |
Grade A, and why
convex-migrations 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 11d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- convex-migrations — 100% identical, 0 lines differ
- Convex Migrations — 98% identical, 3 lines differ
- Convex Migrations — 98% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 713 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convex Migrations
Evolve your Convex database schema safely with patterns for adding fields, backfilling data, removing deprecated fields, and maintaining zero-downtime deployments.
Documentation Sources
Before implementing, do not assume; fetch the latest documentation:
- Primary: https://docs.convex.dev/database/schemas
- Schema Overview: https://docs.convex.dev/database
- Migration Patterns: https://stack.convex.dev/migrate-data-postgres-to-convex
- For broader context: https://docs.convex.dev/llms.txt
Instructions
Migration Philosophy
Convex handles schema evolution differently than traditional databases:
- No explicit migration files or commands
- Schema changes deploy instantly with
npx convex dev - Existing data is not automatically transformed
- Use optional fields and backfill mutations for safe migrations
Adding New Fields
Start with optional fields, then backfill:
// Step 1: Add optional field to schema
// 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(),
// New field - start as optional
avatarUrl: v.optional(v.string()),
}),
});
// Step 2: Update code to handle both cases
// convex/users.ts
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"),
name: v.string(),
email: v.string(),
avatarUrl: v.union(v.string(), v.null()),
}),
v.null()
),
handler: async (ctx, args) => {
const user = await ctx.db.get(args.userId);
if (!user) return null;
return {
_id: user._id,
name: user.name,
email: user.email,
// Handle missing field gracefully
avatarUrl: user.avatarUrl ?? null,
};
},
});
// Step 3: Backfill existing documents
// convex/migrations.ts
import { internalMutation } from "./_generated/server";
import { internal } from "./_generated/api";
import { v } from "convex/values";
const BATCH_SIZE = 100;
export const backfillAvatarUrl = internalMutation({
args: {
cursor: v.optional(v.string()),
},
returns: v.object({
processed: v.number(),
hasMore: v.boolean(),
}),
handler: async (ctx, args) => {
const result = await ctx.db
.query("users")
.paginate({ numItems: BATCH_SIZE, cursor: args.cursor ?? null });
let processed = 0;
for (const user of result.page) {
// Only update if field is missing
if (user.avatarUrl === undefined) {
await ctx.db.patch(user._id, {
avatarUrl: generateDefaultAvatar(user.name),
});
processed++;
}
}
// Schedule next batch if needed
if (!result.isDone) {
await ctx.scheduler.runAfter(0, internal.migrations.backfillAvatarUrl, {
cursor: result.continueCursor,
});
}
return {
processed,
hasMore: !result.isDone,
};
},
});
function generateDefaultAvatar(name: string): string {
return `https://api.dicebear.com/7.x/initials/svg?seed=${encodeURIComponent(name)}`;
}
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.
- 11d ago First seen · 713 lines · 35 tokens per session scan A 9f01eb1b953a
convex-migrations is a skill published in the GitHub repository waynesutton/convexskills (404 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 4,435 once invoked, about $0.0002 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 2026-08-30.
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convex-migrations
Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns.
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