code-refactor-for-reproducibility-1Use when refactoring research code for publication, adding documentation to existing analysis scripts, creating reproducible computational workflows, or prep...
Install via ClawdBot CLI:
clawdbot install aipoch-ai/code-refactor-for-reproducibility-1Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf /Calls external URL not in known-safe list
https://img.shields.io/badge/License-{self.config[AI Analysis
The skill definition contains no evidence of data exfiltration, credential harvesting, or hidden malicious instructions. The identified signals are minor: a generic example of a destructive shell command (rm -rf /) and a placeholder badge URL, both typical in documentation and not part of executable logic.
Audited Apr 16, 2026 · audit v1.0
Generated May 10, 2026
A research group needs to refactor computational analysis scripts for a journal publication. The skill helps add documentation, parameterize inputs, and create environment specifications to ensure reproducibility.
A pharmaceutical company requires reproducible data analysis workflows for regulatory submission. The skill refactors code to include error handling, pinned dependencies, and audit-ready outputs.
A financial institution needs to prepare quantitative models for internal audit. The skill transforms ad-hoc scripts into documented, testable workflows with explicit assumptions and fallback paths.
A data scientist wants to share a machine learning pipeline on GitHub. The skill refactors the codebase, adds docstrings, removes hardcoded paths, and creates a requirements.txt for easy setup.
Offer fee-based services to academic labs or corporate R&D teams to review and refactor their codebases for reproducibility using this skill. Generate revenue per project or retainer.
Develop a web platform that integrates this skill to automatically analyze and refactor user-submitted code. Charge subscription fees for individual or enterprise plans.
Use the skill as the core tool in workshops teaching best practices for reproducible research. Sell tickets to courses or license training materials to institutions.
💬 Integration Tip
Integrate with CI/CD pipelines (e.g., GitHub Actions) to automatically check reproducibility on each commit. Optionally, hook into Jupyter notebook conversion tools to extend support for .ipynb files.
Scored May 9, 2026
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