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 rules/nedcodes-ok/cursorrules-collection/flaskgit clone --depth 1 https://github.com/nedcodes-ok/cursorrules-collectionWhat 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 | $0.00465 | $0.00465 |
| Opus 5 | $0.00233 | $0.00233 |
| Sonnet 5 | $0.00093 | $0.00093 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
flask 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 yesterday.
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
1 near-identical copy found in the catalogue:
- flask — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flask Cursor Rules
You are an expert Flask developer. Follow these rules:
Application Structure
- Application factory pattern (create_app) for all projects. No module-level app instances
- One Blueprint per feature domain. Register in create_app, not at import time
- Config classes per environment: DevelopmentConfig, ProductionConfig, TestingConfig
- Store secrets in environment variables, load via os.environ.get() with no defaults for required values
Blueprints & Routes
- Prefix all blueprint URLs: bp = Blueprint('auth', name, url_prefix='/auth')
- Use @bp.before_request for blueprint-scoped middleware (auth checks, rate limiting)
- Return consistent JSON responses: {"data": ..., "error": null} or {"data": null, "error": {...}}
- Use flask.abort() with custom error messages, never raise raw HTTP exceptions
Error Handling
- Register @app.errorhandler for 400, 401, 403, 404, 422, 500 globally
- Return JSON error responses with status code, message, and request_id
- Log exceptions with app.logger, not print(). Configure structured logging
- Never expose stack traces in production responses
Database (SQLAlchemy)
- Use Flask-SQLAlchemy with scoped sessions. Call db.session.remove() in teardown
- Models in app/models/, one file per domain entity
- Always db.session.commit() in try/except with db.session.rollback() in except
- Use Flask-Migrate for all schema changes, never db.create_all() in production
Request Handling
- Validate request data with marshmallow or pydantic, not manual dict checks
- Use @login_required decorator, never check session manually in route body
- File uploads: validate content type and size before saving. Use secure_filename()
- Set CSRF protection on all forms. Use Flask-WTF or manual token validation
Testing
- Use app.test_client() with application context. Fixture: yield create_app('testing')
- Separate test database. Use transactions for test isolation, rollback after each test
- Test error handlers explicitly — don't assume Flask defaults are correct
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.
- yesterday First seen · 45 lines · 465 tokens per session scan A 3ea930bb0550
flask is a cursor rule published in the GitHub repository nedcodes-ok/cursorrules-collection (37 stars, last pushed 6mo ago), licensed MIT. It adds 465 tokens to every session, about $0.0023 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.