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py-test-swarm

Coordinate hierarchical BioETL test swarms across L1/L2/L3 agents.

1|Updated Dec 1, 2025
Search Tags:#automation#pytest#orchestration#telemetry#quality-assurance#bioetl#test-swarm
One-click install
npx skills add https://github.com/SatoryKono/BioactivityDataAcquisition --skill py-test-swarm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: py-test-swarm
Source: https://github.com/SatoryKono/BioactivityDataAcquisition/tree/main/docs/skills/local/py-test-swarm
Command: npx skills add https://github.com/SatoryKono/BioactivityDataAcquisition --skill py-test-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchestrates hierarchical BioETL test swarms (L1/L2/L3) to enable full-audit, structured failure triage, coverage expansion, and final reporting across multiple providers.

Core Features & Use Cases

  • Decomposes work into L2/L3 agents, enforces constraints, aggregates evidence, and produces final artifacts.
  • Reads L1 startup inputs and task contracts to coordinate deterministic test campaigns.
  • Provides artifact contracts and telemetry aggregation for scalable quality assurance across pipelines.

Quick Start

Launch the L1 orchestrator with a task-id and mode to begin a swarm and generate reports under reports/test-swarm/<task-id>.

Frequently Asked Questions about py-test-swarm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate hierarchical pytest campaigns for large-scale test suites?▼

You orchestrate test campaigns by launching the L1 orchestrator with a task-id and mode. This decomposes work into L2/L3 agents to enforce deterministic execution, aggregate telemetry, and generate final reports under reports/test-swarm/<task-id>/.

What is the best way to triage test failures at scale across multiple providers?▼

Triage test failures at scale using the fix-failures mode in a hierarchical test swarm. The L1 orchestrator coordinates L2/L3 agents to execute deterministic campaigns, aggregate telemetry, and output structured failure diagnostics under reports/test-swarm/<task-id>/FINAL-REPORT.md.

How can I expand test coverage and diagnose flakiness in automated BioETL pipelines?▼

Expand coverage and diagnose flakiness by configuring coverage-boost and stability modes in the test swarm. You define flakiness-runs and a baseline-report in the input contract to execute stability diagnostics and aggregate telemetry for final reporting.

What inputs do I need to start a deterministic test swarm for quality assurance?▼

Starting a deterministic test swarm requires an input contract defining a task-id, mode, scope, baseline-report, and flakiness-runs. These inputs coordinate L1 startup and constrain L2/L3 agents to produce mandated output artifacts.

Does this test orchestration approach work without external dependencies?▼

Yes, this test orchestration approach works without external dependencies. The L1 orchestrator reads task contracts and coordinates L2/L3 agents internally to enforce deterministic execution and aggregate telemetry for final reporting.

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