mcpbeat Sign in

Subagent Testing Skill for Claude

Test skills via TDD in fresh subagents. Use when validating behavior or preventing bias.

4k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
324
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/athola/claude-night-market --skill subagent-testing

The instruction itself

16 sections, as written by the author

Subagent Testing - TDD for Skills

Test skills with fresh subagent instances to prevent priming bias and validate effectiveness.

When NOT To Use

  • Writing the skill under test (use abstract:skill-authoring)
  • A static quality audit with no execution (use abstract:skills-eval)

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

Exit Criteria

  • [ ] Baseline (RED) phase documents at least 5 diverse scenarios run in fresh Claude instances

without the skill active, with full response text recorded.

  • [ ] With-skill (GREEN) phase uses identical prompts in new fresh instances (not continuations

of the baseline conversation) and shows >= 50% improvement on skill-related metrics.

  • [ ] Rationalization (REFACTOR) phase shows skill guardrails blocking >= 80% of rationalization

attempts tested across at least 3 pressure scenarios.

  • [ ] Results are reproducible: the same prompts in a new fresh instance produce consistent

outcomes, confirming the effect is not conversation-history priming.

Other skills for the same job

different authors, same section of the catalogue
Loki Mode
by ComeOnOliver
×2

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

3528k tokens scripts
Error Debugging Multi Agent Review
by lingxling
×1

Use when working with error debugging multi agent review

2k tokens
Evaluation
by lingxling
×1

Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over time.

3k tokens
Agent Communication Debugger
by ComeOnOliver
×1

Diagnoses and debugs A2A agent communication issues including agent status, message routing, transport connectivity, and log analysis. Use when agents aren't responding, messages aren't being delivered, routing is incorrect, or when debugging orchestrator, coder-agent, tester-agent communication problems.

23k tokens scripts
Error Debugging Multi Agent Review
by ComeOnOliver
×1

Use when working with error debugging multi agent review

4k tokens
Micro Skill Creator
by ComeOnOliver
×1

Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, program-of-thought, and plan-and-solve patterns. Enhanced with agent-creator principles and functionality-audit validation. Perfect for building composable workflow components.

6k tokens
Ohmg
by ComeOnOliver
×1

Ultimate multi-agent framework for Google Antigravity. Orchestrates specialized domain agents (PM, Frontend, Backend, Mobile, QA, Debug) via Serena Memory.

3k tokens
Evaluation
by ComeOnOliver
×1

This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.

13k tokens scripts

How to use it

Copy the folder

Take athola/subagent-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.