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nw-agent-testing

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

前端开发617nWave/skills/nw-agent-testing/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/nwave-ai/nwave/nw-agent-testing/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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

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

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