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.
git clone --depth 1 https://github.com/iHildy/jules-task-queueWrote 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/rules/ihildy/jules-task-queue/prisma)<a href="https://agentmods.dev/rules/ihildy/jules-task-queue/prisma"><img src="https://agentmods.dev/badge/rules/ihildy/jules-task-queue/prisma/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/rules/ihildy/jules-task-queue/prisma"><img src="https://agentmods.dev/badge/rules/ihildy/jules-task-queue/prisma.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 | $0.00000 | $0.02438 |
| Opus 5.5 | $0.00000 | $0.00975 |
| Sonnet 5.5 | $0.00000 | $0.00488 |
| Haiku 4.5 | $0.00000 | $0.00244 |
Grade A, and why
prisma 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 13d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Tech Stack:
ALWAYS USE THE FOLLOWING IN CONJUNCTION WITH EACHOTHER TO HAVE A SAFE CODEBASE WHERE WE CAN MOVE FAST AND BREAK NOTHING
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Next.js
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Typescript + ESlint
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Zod + Prisma + tRPC + React Query
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Prisma (supabase) + Redis
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ShadCN + TailwindCSS v4
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Vitest Unit Tests
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General Principles:
- Never expose the raw Prisma client directly in APIs. Instead, create abstraction layers (e.g., repositories or services) to handle data access logic. This protects you from accidentally exposing sensitive database details and allows you to easily change your data access implementation in the future.
- Always use input validation before performing any database operations. Use a validation library like Zod or Yup to ensure that user input conforms to your expected schema and data types. This helps prevent injection attacks and data corruption.
- Implement row-level security (RLS) where applicable. If your application handles sensitive data, use Prisma policies or database-level RLS to restrict data access based on user roles or permissions. Carefully design your policies to prevent unauthorized data access.
- Sanitize and validate all user inputs to prevent injection attacks, such as SQL injection. Use Prisma's built-in features to escape user input and prevent it from being interpreted as code.
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Code Organization and Structure:
- Directory Structure:
prisma/: Contains theschema.prismafile and any seed scripts or migrations.src/: Contains the main application code.src/lib/prisma.ts: A single module that exports an instance of the Prisma client. This promotes reuse and simplifies dependency injection.src/models/: Database model definitions as classes, abstracting Prisma calls.src/repositories/: Contains data access logic, abstracting Prisma queries.src/services/: Contains business logic, orchestrating data access through repositories.
- File Naming Conventions:
- Use descriptive names for files and directories that reflect their purpose.
- Use consistent naming conventions (e.g., camelCase for variables, PascalCase for components).
- Consistent Case: Maintain a consistent casing convention (e.g., camelCase for variables, PascalCase for components). Use
kebab-casefor file names e.g.user-profile.tsxoruser.router.ts
- Module Organization:
- Organize code into logical modules with clear responsibilities.
- Use dependency injection to decouple modules and improve testability.
- Component Architecture:
- Design components that are reusable, testable, and maintainable.
- Follow the single responsibility principle for each component.
- Code Splitting Strategies:
- Use dynamic imports to load code on demand and reduce initial bundle size.
- Split code based on routes, features, or user roles.
- Directory Structure:
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.
- 13d ago First seen · 201 lines · 2,438 tokens per session scan A 1bf608db1f80
prisma is a cursor rule published in the GitHub repository iHildy/jules-task-queue (17 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,438 tokens. 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 2026-10-02.
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