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Run and manage Python test suites with pytest: discover tests, run with coverage and parallelism, and provide failure analysis and diagnostics.
Run and manage pytest-based test suites with sensible defaults, coverage reporting, and failure analysis. The skill provides environment checks, test discovery, execution commands (including coverage and parallel runs), and recovery steps for common failures. It saves checkpoints (collections, results, coverage) for downstream analysis.
Use this skill when you need automated test execution and diagnostics: CI troubleshooting, local test runs before commits, generating coverage reports, or running selective tests by markers or patterns. It is useful for developers and CI engineers integrating pytest into workflows.
Best suited for agents that can run shell/python commands and access project files (e.g., Claude Code / Copilot-like agents with Bash/Python tooling).
A pytest runner skill that guides an agent through environment setup, test discovery, execution, and failure analysis. Well-structured with archetype mitigations and recovery protocols, but no bundled scripts — it's purely instructional, relying on the agent to run bash commands ad-hoc. Useful as a reference but limited in automation since there's nothing to execute programmatically.
Clean skill — no security concerns. No hardcoded secrets, no remote code execution, no exfiltration risks. The `pip install pytest` fallback is a minor environment-modification concern but standard practice. Architecture follows a reasonable pattern but the `.aiwg` checkpoint structure is very specific to one framework. Usefulness is moderate: many agents can already run pytest without a dedicated skill, and without scripts it's essentially a well-organized reference doc.
Uloop: Execute Dynamic Code
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Bookmarklet Creation
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Overnight — Autonomous Long-Running Coding
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Bexio API (Swiss CRM & Invoicing)
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Review Pull Request
Automated, structured PR reviewer: gathers metadata, diffs, CI results, dependency changes and provides a concise verdict with testing and documentation recomme
Agent Ops — Testing Workflow
Guidance for designing, running, and analyzing test suites for agents: test isolation, execution patterns, and coverage-based enforcement.
libagent
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Raindrop.io API
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Development Worktree
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ds-fix — data-science mid-analysis fixer
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Tmux Bridge
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Juicebox Common Errors
Identify and remediate common Juicebox API errors (authentication, quotas, rate limits, invalid queries) with quick diagnostics and fixes.