opensource-pipeline

Strip secrets and PII from private repositories and generate open-source boilerplate files.

2|Updated May 11, 2026
One-click install
npx skills add https://github.com/himanshu231204/AI_Research_agent --skill opensource-pipeline-himanshu231204
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opensource-pipeline
Source: https://github.com/himanshu231204/AI_Research_agent/tree/main/.opencode/skills/opensource-pipeline
Command: npx skills add https://github.com/himanshu231204/AI_Research_agent --skill opensource-pipeline-himanshu231204

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Releasing private internal projects to public platforms carries high risk of exposing secrets, PII, and internal references, plus requires generating standard open-source boilerplate files that are often overlooked. This Skill eliminates those risks and manual steps.

Core Features & Use Cases

  • 3-Stage Automated Pipeline: Runs a forker agent to strip secrets and clean git history, a sanitizer agent to verify no sensitive data remains, and a packager agent to generate all required open-source files.
  • Safety Guardrails: Enforces sanitization checks before packaging, never pushes to GitHub without explicit user approval, and supports retries for failed sanitization scans.
  • Use Case: You have a private internal tool you want to release as an open-source project on GitHub; this Skill automates stripping all credentials, verifying the repo is clean, and generating CLAUDE.md, setup.sh, README, LICENSE, and CONTRIBUTING.md files in one workflow.

Quick Start

Use the opensource-pipeline skill to safely prepare your private project for public open-source release on GitHub.

Frequently Asked Questions about opensource-pipeline

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

FAQPage Schema
How do I safely prepare a private repository for public open-source release on GitHub?

To prepare a private repository for open-source release, you need to strip secrets, sanitize PII, and generate standard boilerplate. This automated pipeline handles secret detection, history cleaning, and packaging of license and contribution files for safe GitHub publication.

What is the best way to strip secrets and credentials from a git repository before making it public?

Stripping secrets from a repository before making it public is best handled by an automated forker agent that cleans git history. This ensures credentials and sensitive data are removed and verified through subsequent sanitization scans before any public release.

How do I automatically generate open-source boilerplate files like LICENSE and CONTRIBUTING.md?

Generating open-source boilerplate files like LICENSE and CONTRIBUTING.md is automated by a packager agent. It creates the required setup scripts, README, and contribution guidelines to ensure your public repository meets standard open-source project documentation requirements.

Does this open-source preparation pipeline verify that no sensitive data remains before publication?

Yes, verifying that no sensitive data remains before publication is enforced by a dedicated sanitizer agent. It runs automated sanitization checks and supports retries for failed scans, ensuring your repository is clean before any public GitHub release.

Can I automate GitHub publication directly through this repository sanitization pipeline?

Automating GitHub publication directly through this pipeline is restricted by safety guardrails. It prepares the repository and generates all open-source files, but never pushes to GitHub without your explicit approval, preventing accidental exposure of sensitive data.

Why do I need to sanitize internal references before publishing an open-source project?

Sanitizing internal references before publishing an open-source project is necessary to eliminate sensitive data exposure risks. Private internal tools often contain hardcoded secrets and PII that must be stripped and verified clean before public distribution.