mcpbeat

Nw Agent Testing

nwave-ai/nwave-nw-agent-testing

5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

This is a copy. The original lives at nwave-ai/nw-agent-testing.

881 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
588
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nWave-ai/nWave --skill nw-agent-testing

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting
Write writes files
Task spawns other agents

The instruction itself

10 sections, as written by the author

Agent Testing Framework

5-Layer Testing Approach

Layer 1: Output Quality (Unit-Level)

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.

Layer 2: Integration / Handoff Validation

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).

Layer 3: Adversarial Output Validation

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.

Layer 4: Adversarial Verification (Peer Review)

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.

Layer 5: Security Validation

Test resilience against misuse and prompt injection.

Test: Tool restriction enforcement | maxTurns respected | Permission mode correctly scoped | Agent stays within declared scope

How: Frontmatter fields enforce at platform level. Verify configuration.

Prompt Injection Resistance

Claude Code platform provides injection resistance through: subagent isolation (own context, no sub-subagents) | Tool restriction via frontmatter tools | Permission modes via permissionMode | Hook-based validation (PreToolUse, PostToolUse)

Do NOT add prose-based injection defense. Configure platform features:

---
tools: Read, Glob, Grep           # Only tools this agent needs
maxTurns: 30                       # Prevents runaway execution
permissionMode: default            # User approves dangerous actions
---

Security Validation Checklist

  • [ ] tools restricted to minimum necessary (least privilege)
  • [ ] maxTurns set to prevent runaway execution
  • [ ] permissionMode appropriate for risk level
  • [ ] No Bash unless agent requires command execution
  • [ ] No Write unless agent creates/modifies files
  • [ ] Description accurately describes scope
  • [ ] Subagent mode handles autonomous execution correctly
  • [ ] No sensitive data hardcoded in definition

Testing Workflow for New Agents

  • Create with minimal definition
  • Layer 1: Invoke with 2-3 representative inputs, check outputs
  • Layer 2: Run in workflow chain if applicable
  • Fix failures observed
  • Validate: Run 11-point checklist
  • Iterate: Add instructions only for observed failure modes

How to use it

Copy the folder

Take nwave-ai/nwave-nw-agent-testing from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.