database-patterns

A set of PostgreSQL and SQLAlchemy database rules for JSONB fields, soft deletion, indexes, migrations, and user permissions. PostgreSQL is a database system; SQLAlchemy is a Python library for working with databases; JSONB stores structured JSON data.

In plain words
What is it for?
Filtering soft-deleted job applications, marking records deleted without permanently removing them, checking admin access, flagging changed JSONB fields before saving, and following the project’s database conventions.
Why use it?
It prevents common data bugs, such as accidentally hiding deleted records, allowing unauthorized admin actions, or failing to save in-place JSONB changes.

Cursor rule for Claude Code

Install

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.

agentmods
npx agentmods add rules/eliornl/rolemule/database-patterns
Clone the repo
git clone --depth 1 https://github.com/eliornl/rolemule

Made for: Claude Code.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 2,957 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00000 $0.02957
Opus 5 $0.00000 $0.01478
Sonnet 5 $0.00000 $0.00591
Haiku 4.5 $0.00000 $0.00296

Measured 2d ago against content hash 361c5230b9c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

database-patterns 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 2d 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.

.claude/rules/database-patterns.mdc · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Database Patterns

Soft Delete on job_applications

The JobApplication model uses soft-delete via deleted_at (nullable DateTime). Always filter it in queries:

# ✅ Always filter soft-deleted records
select(JobApplication).where(
    and_(JobApplication.user_id == user_id, JobApplication.deleted_at.is_(None))
)

# Delete = set timestamp, never hard DELETE
application.deleted_at = datetime.now(timezone.utc)
await db.commit()

User.is_admin Field

users.is_admin (Boolean, default False). Check before allowing admin-only operations:

if not current_user.get("is_admin"):
    raise forbidden_error("Admin access required")

JSONB Fields — Always flag_modified()

SQLAlchemy cannot detect in-place mutations to JSONB columns. Call flag_modified() for every JSONB field update before commit():

from sqlalchemy.orm.attributes import flag_modified

user_profile.skills = new_skills
flag_modified(user_profile, "skills")
await db.commit()

JSONB columns in this codebase:

  • UserProfile: work_experience, education, skills, job_types, work_arrangements, desired_salary_range, desired_company_sizes

UserProfile — Field Reference

The UserProfile model contains exactly these fields. There is no location_preferences or target_role field.

Field Type Notes
professional_title String Current job title
years_experience Integer Total career years; 0 is valid (BasicInfo ge=0). Dashboard JS must not treat 0 as “empty” (see frontend-js-strict.mdc, “Required numeric fields”).
summary Text Professional summary, 3–4 sentences
city String(100) Optional location
state String(100) Optional
country String(100) Optional
work_experience JSONB List of past roles with title, company, dates, accomplishments (see completion semantics below)
education JSONB List of school/program entries: institution, degree, optional field_of_study, dates, is_current (see education completion below)
skills JSONB List of skill strings
job_types JSONB e.g. ["full-time", "contract"]
work_arrangements JSONB e.g. ["remote", "hybrid"]
desired_salary_range JSONB {min, max}
desired_company_sizes JSONB e.g. ["startup", "medium"]
is_student Boolean
willing_to_relocate Boolean default False
requires_visa_sponsorship Boolean default False
work_authorization String(64) nullable no_work_authorization | has_work_authorization | us_lawful_permanent_resident | us_citizen; required for profile completion and extension autofill screening
has_security_clearance Boolean default False
max_travel_preference String Optional travel % or category

Read the full file on GitHub · 273 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. 2d ago First seen · 273 lines · 0 tokens per session scan A 361c5230b9c7

Subscribe to this mod's changes

database-patterns is a cursor rule published in the GitHub repository eliornl/rolemule (37 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,957 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 2026-08-30.

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