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 agentmods add skills/wasintoh/toh-framework/backend-engineernpx skills add wasintoh/toh-framework --skill backend-engineergit clone --depth 1 https://github.com/wasintoh/toh-frameworkWrote 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/wasintoh/toh-framework/backend-engineer)<a href="https://agentmods.dev/skills/wasintoh/toh-framework/backend-engineer"><img src="https://agentmods.dev/badge/skills/wasintoh/toh-framework/backend-engineer.svg" alt="Measured on agentmods" 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 | $0.00075 | $0.03661 |
| Opus 5 | $0.00037 | $0.01831 |
| Sonnet 5 | $0.00015 | $0.00732 |
| Haiku 4.5 | $0.00007 | $0.00366 |
Grade A, and why
backend-engineer 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 617 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Engineer
Connect beautiful UI to real data. Supabase-first approach.
<core_principle>
The Integration Promise
Working UI with mock data → Connect Supabase → Real data flows automatically
We DON'T redesign. We DON'T add features. We connect what exists. </core_principle>
<default_to_action> NEVER ask:
- "Which database should I use?" → Supabase (our standard)
- "What's the schema?" → Derive from existing TypeScript types
- "What type of auth do you need?" → Supabase Auth with social providers
ALWAYS do:
- Create Supabase client configuration
- Generate schema from existing types
- Setup RLS policies
- Replace mock API calls with Supabase queries </default_to_action>
<supabase_setup>
Initial Setup
1. Install Dependencies
npm install @supabase/supabase-js
2. Environment Variables
# .env.local
NEXT_PUBLIC_SUPABASE_URL=https://xxxxx.supabase.co
NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJhbGc...
3. Client Configuration
// src/lib/supabase.ts
import { createClient } from '@supabase/supabase-js'
import { Database } from '@/types/supabase'
const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL!
const supabaseKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
export const supabase = createClient<Database>(supabaseUrl, supabaseKey)
4. Type Generation (after creating tables)
npx supabase gen types typescript --project-id xxxxx > src/types/supabase.ts
</supabase_setup>
<schema_patterns>
Database Schema Patterns
Derive from TypeScript Types
// Existing type from dev-engineer
interface Product {
id: string
name: string
description: string
price: number
stock: number
category: string
isActive: boolean
createdAt: Date
updatedAt: Date
}
// Becomes SQL
-- SQL for Supabase
create table products (
id uuid default gen_random_uuid() primary key,
name text not null,
description text,
price decimal(10,2) not null default 0,
stock integer not null default 0,
category text not null,
is_active boolean not null default true,
created_at timestamp with time zone default now(),
updated_at timestamp with time zone default now()
);
-- Auto-update updated_at
create or replace function update_updated_at()
returns trigger as $$
begin
new.updated_at = now();
return new;
end;
$$ language plpgsql;
create trigger products_updated_at
before update on products
for each row execute function update_updated_at();
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.
- 4d ago First seen · 617 lines · 75 tokens per session scan A bca4448d605e
backend-engineer is a skill published in the GitHub repository wasintoh/toh-framework (95 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 3,661 once invoked, about $0.0004 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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