do-continuous-testing

A Cursor rule for running pytest tests continuously, recording results in a log, and monitoring failures as files change.

In plain words
What is it for?
Use it to configure pytest, watch affected tests, inspect failures, make fixes, and rerun tests in Python or Django projects.
Why use it?
It defines a testing routine that provides ongoing feedback and keeps a history of errors and timings.

Cursor rule

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/featurefactory-io/mimir/do-continuous-testing
Clone the repo
git clone --depth 1 https://github.com/FeatureFactory-io/mimir
Per session 433 This file is loaded in full into every session.
When invoked 433 The same file — it is already loaded in full.
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 $0.00433 $0.00433
Opus 5 $0.00217 $0.00217
Sonnet 5 $0.00087 $0.00087
Haiku 4.5 $0.00043 $0.00043

Measured 2d ago against content hash 7db0f8f74917, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

do-continuous-testing 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.

.windsurf/workflows/Edda/rules/do-continuous-testing.mdc · 60 lines

What it actually says

Rule: Continuous Testing and Error Monitoring

Requirements

  1. All tests must be runnable via pytest tests/

    • Ensure pytest compatibility for all test files
    • Use pytest fixtures and conventions
    • Maintain Django test compatibility where needed
  2. Tests must add their output to tests.log

    • Configure pytest logging to write to tests.log
    • Include detailed test results, errors, and timing
    • Preserve log history for analysis
  3. Run tests continuously

    • Monitor file changes and auto-run tests for the new and/or affected scenarios
    • Use watch mode or interval-based execution
    • Provide real-time feedback on test status
  4. Monitor and fix errors automatically

    • Parse test output and tests.log for failures
    • Identify root causes of test failures
    • Implement fixes proactively
    • Re-run tests to validate fixes

Implementation

Pytest Configuration

  • Configure pytest.ini or pyproject.toml for logging
  • Set up proper test discovery patterns
  • Configure Django settings for pytest

Continuous Monitoring

  • Use file watchers (e.g., pytest-watch, entr)
  • Parse test results in real-time
  • Log analysis for error patterns

Error Fixing Protocol

  • Categorize errors (syntax, logic, dependency, etc.)
  • Apply appropriate fixes based on error type
  • Formulate the target state (what should be the result of the fix)
  • Inform user that you found the error, how you see target state, and what you are going to do to fix it
  • Apply the fix
  • Validate fixes with immediate test re-run
  • Update tests if requirements have changed

Usage

When working on any codebase:

  1. Ensure pytest setup is complete
  2. Check background processes. If there is no continuous_test_runner.py - start it
  3. Do continuous test output monitoring
  4. Also monitor tests.log for issues
  5. Fix errors as they are detected
  6. Maintain test health continuously
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 · 60 lines · 433 tokens per session scan A 7db0f8f74917

Subscribe to this mod's changes

do-continuous-testing is a cursor rule published in the GitHub repository FeatureFactory-io/mimir (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 433 tokens to every session, about $0.0022 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.