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SKILL verified MIT Self-run

Testing

skill-edenfunf-promptc-testing · by edenfunf

Testing conventions for the project — pytest, fixtures, integration vs unit.

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Install

$ agentstack add skill-edenfunf-promptc-testing

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Testing

Naming

Tests describe the behavior, not the function. test_user_can_log_in_with_valid_credentials, not test_login_function.

Levels

Prefer integration tests over mocks when the integration is cheap. Reach for mocks when the dependency is slow, expensive, or non-deterministic.

Fixtures

Use pytest fixtures for shared setup. Keep fixtures small and composable. Avoid fixture chains deeper than two levels.

Database tests

Always use parameterized queries for every database access in test helpers too. Never concatenate user-provided strings into SQL statements directly. This includes dynamic WHERE clauses, ORDER BY clauses, and table names.

CI

Tests run on every PR. The deploy pipeline runs them again with production-like config. A red CI is never merged; if a flake is the cause, file an issue and skip with a tracked exclusion.

Boundary discipline

Treat any data that crossed a network or process boundary as untrusted until proven otherwise. Apply the same scrutiny to data from other internal services as you would to data from the public internet. The threat model assumes lateral movement; act accordingly across every service-to-service hop in the system.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.