Install
$ agentstack add skill-tmusser-ai-engineering-skills-test-mini ✓ 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
Test Mini
Purpose
Protect against wrong behavior without heavy tests.
When to use
Use for ML model workflows, agents, dashboards, data transformations, metric calculations, scheduled jobs, and any behavior that can appear to run while being wrong.
Inputs
- Implemented slice
- Expected behavior
- Available fixtures or examples
- Build/test/run commands
Workflow
- Add one deterministic behavior test when possible.
- Add one fixture or golden example when useful.
- Add one smoke test or manual verification path.
- Run exact commands.
- Record command output and result.
- Keep tests focused on the changed behavior.
Test integrity
Prefer adding tests over changing existing tests.
If modifying existing tests:
- Record the changed test path.
- State why the old assertion was wrong or incomplete.
- Name the source of truth.
- Preserve the prior assertion or replace it intentionally.
- Mark verification as
REVIEW_REQUIREDunless the rationale is explicit.
Never weaken tests merely to match the implementation.
Outputs
- Focused test or fixture
- Smoke path
- Exact command results
- Remaining risk notes
Stop conditions
- The behavior is proven enough for the task risk.
- No deterministic check is possible without changing the design.
Anti-patterns
- Only checking that the code runs without checking correctness.
- Adding broad tests unrelated to the changed behavior.
- Hiding manual verification steps in chat.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tmusser
- Source: tmusser/ai-engineering-skills
- 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.