Test skills via TDD in fresh subagents. Use when validating behavior or preventing bias.
npx skills add https://github.com/athola/claude-night-market --skill subagent-testing
Test skills with fresh subagent instances to prevent priming bias and validate effectiveness.
abstract:skill-authoring)abstract:skills-eval)Fresh instances prevent priming: Each test uses a new Claude conversation to verify
the skill's impact is measured, not conversation history effects.
Running tests in the same conversation creates bias:
Three-phase TDD-style approach:
Test without skill to establish baseline behavior.
Test with skill loaded to measure improvements.
Test skill's anti-rationalization guardrails.
# 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
For complete testing patterns, examples, and templates:
without the skill active, with full response text recorded.
of the baseline conversation) and shows >= 50% improvement on skill-related metrics.
attempts tested across at least 3 pressure scenarios.
outcomes, confirming the effect is not conversation-history priming.
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.
Use when working with error debugging multi agent review
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over time.
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.
Use when working with error debugging multi agent review
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.
Ultimate multi-agent framework for Google Antigravity. Orchestrates specialized domain agents (PM, Frontend, Backend, Mobile, QA, Debug) via Serena Memory.
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.
Take athola/subagent-testing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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.