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5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
Passed 20 of 22 test cases with the skill, and 10 of 22 without it.
and 12 more in the full report
10 fixed10 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
My file search subagent occasionally gets stuck repeating similar searches. What specific YAML frontmatter setting limits the total iteration count?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies setting maxTurns in the frontmatter configuration | Missed | Passed |
The instructions your model reads when the skill loads.
Validate agent produces correct, well-structured outputs for typical inputs.
Test: Agent follows workflow phases | Outputs match expected format/structure | Domain-specific rules correctly applied | Token efficiency within bounds
How: Manual invocation with representative inputs. Check against acceptance criteria in agent description.
Validate correct input/output between agents in workflows.
Test: Input parsing handles upstream format | Output format matches downstream expectations | Error signals propagate correctly | Subagent mode activation works (skip greet, execute autonomously)
How: End-to-end workflow execution through full agent chain (e.g., DISCUSS -> DESIGN -> DELIVER).
Challenge validity of agent outputs rather than accepting at face value.
Test: Source verification (cited sources real and accurate?) | Bias detection (favors one approach without evidence?) | Edge case coverage | Completeness (required sections present?)
How: Peer review by -reviewer agent using structured critique dimensions.
Independent review to catch biases and blind spots in agent design.
Test: Definition follows validation checklist? | Redundant Claude default instructions? | Over/under-specified? | Could simpler agent achieve same results?
How: @nw-agent-builder validates via 11-point checklist or @agent-builder-reviewer runs structured review.
Test resilience against misuse and prompt injection.
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.