/install nm-abstract-subagent-testing
Night Market Skill — ported from claude-night-market/abstract. For the full experience with agents, hooks, and commands, install the Claude Code plugin.
Subagent Testing - TDD for Skills
Test skills with fresh subagent instances to prevent priming bias and validate effectiveness.
Table of Contents
- Overview
- Why Fresh Instances Matter
- Testing Methodology
- Quick Start
- Detailed Testing Guide
- Success Criteria
Overview
Fresh instances prevent priming: Each test uses a new Claude conversation to verify the skill's impact is measured, not conversation history effects.
Why Fresh Instances Matter
The Priming Problem
Running tests in the same conversation creates bias:
- Prior context influences responses
- Skill effects get mixed with conversation history
- Can't isolate skill's true impact
Fresh Instance Benefits
- Isolation: Each test starts clean
- Reproducibility: Consistent baseline state
- Measurement: Clear before/after comparison
- Validation: Proves skill effectiveness, not priming
Testing Methodology
Three-phase TDD-style approach:
Phase 1: Baseline Testing (RED)
Test without skill to establish baseline behavior.
Phase 2: With-Skill Testing (GREEN)
Test with skill loaded to measure improvements.
Phase 3: Rationalization Testing (REFACTOR)
Test skill's anti-rationalization guardrails.
Quick Start
# 1. Create baseline tests (without skill)
# Use 5 diverse scenarios
# Document full responses
# 2. Create with-skill tests (fresh instances)
# Load skill explicitly
# Use identical prompts
# Compare to baseline
# 3. Create rationalization tests
# Test anti-rationalization patterns
# Verify guardrails work
Detailed Testing Guide
For complete testing patterns, examples, and templates:
- Testing Patterns - Full TDD methodology
- Test Examples - Baseline, with-skill, rationalization tests
- Analysis Templates - Scoring and comparison frameworks
Success Criteria
- Baseline: Document 5+ diverse baseline scenarios
- Improvement: ≥50% improvement in skill-related metrics
- Consistency: Results reproducible across fresh instances
- Rationalization Defense: Guardrails prevent ≥80% of rationalization attempts
See Also
- skill-authoring: Creating effective skills
- bulletproof-skill: Anti-rationalization patterns
- test-skill: Automated skill testing command
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-abstract-subagent-testing - After installation, invoke the skill by name or use
/nm-abstract-subagent-testing - Provide required inputs per the skill's parameter spec and get structured output
What is Nm Abstract Subagent Testing?
Test skills via RED/GREEN/REFACTOR TDD with fresh subagents. It is an AI Agent Skill for Claude Code / OpenClaw, with 154 downloads so far.
How do I install Nm Abstract Subagent Testing?
Run "/install nm-abstract-subagent-testing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Abstract Subagent Testing free?
Yes, Nm Abstract Subagent Testing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Abstract Subagent Testing support?
Nm Abstract Subagent Testing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Abstract Subagent Testing?
It is built and maintained by athola (@athola); the current version is v1.8.3.