Install
$ agentstack add skill-edenfunf-promptc-testing ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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.
- Author: edenfunf
- Source: edenfunf/promptc
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.