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.