infra-fix

Coordinate parallel sub-agents to fix infrastructure audit findings across Python projects.

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/vossiman/python-infra-audit-cc --skill infra-fix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: infra-fix
Source: https://github.com/vossiman/python-infra-audit-cc/tree/main/skills/infra-fix
Command: npx skills add https://github.com/vossiman/python-infra-audit-cc --skill infra-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the complex, multi-step process of diagnosing and applying fixes to infrastructure audit findings by coordinating parallel agents.

Core Features & Use Cases

  • Dispatches parallel agents to fix CRITICAL and WARNING findings without serial dependency.
  • Reads blueprint standards and verification data to guide repeatable remediations across git, config, and env files.
  • Validates fixes by re-running detection and verification before updating findings and audit history.

Quick Start

Start a fix session by running the detect and verify steps, then apply fixes in waves.

Frequently Asked Questions about infra-fix

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

FAQPage Schema
How do I automate infrastructure audit fixes across Python and CI/CD configurations?▼

You can automate infrastructure audit fixes by dispatching parallel sub-agents that apply blueprint-guided, atomic file edits across Python configurations, git settings, Dockerfiles, and CI/CD pipelines.

What is the best way to resolve critical audit findings without serial dependencies?▼

Resolving critical audit findings without serial dependencies is achieved by coordinating parallel agents that apply fixes in multiple waves, allowing independent infrastructure issues to be remediated simultaneously.

How do I re-verify infrastructure fixes after updating audit findings?▼

To re-verify infrastructure fixes, the workflow automatically re-runs detection and verification steps against the updated files before finalizing the audit history, ensuring the remediation was successful.

Does this parallel agent workflow work with pyproject.toml and Dockerfile environments?▼

Yes, this workflow explicitly supports Python project infrastructures by guiding atomic file edits and remediation across pyproject.toml, Dockerfiles, environment settings, and git configurations.

When do I need blueprint-guided atomic file edits for DevOps remediation?▼

Blueprint-guided atomic file edits are needed when you require repeatable, safe-operations remediation for complex infrastructure audits, ensuring that multi-wave fixes adhere to strict verification and compliance standards.

What are the limitations of using parallel sub-agents for infrastructure audit fixes?▼

A limitation of using parallel sub-agents is that fixes must be planned in multi-wave increments to avoid conflicts, and the workflow currently focuses exclusively on Python project infrastructures and CI/CD configurations.