source-fix-remediation-workflow

Enforce strict source-level validation and fail-closed transitions in evaluation pipelines.

2|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/MRiabov/Problemologist-AI --skill source-fix-remediation-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: source-fix-remediation-workflow
Source: https://github.com/MRiabov/Problemologist-AI/tree/main/.agents/skills/source-fix-remediation-workflow
Command: npx skills add https://github.com/MRiabov/Problemologist-AI --skill source-fix-remediation-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured workflow to identify and remediate fallback-driven regressions by enforcing strict source-level validation and fail-closed transitions, reducing silent failures and flaky outputs.

Core Features & Use Cases

  • Tightens evaluation gates by locating transition points and fallback producers.
  • Enforces structured artifact contracts and semantic checks at gate time.
  • Preserves observability with detailed logs and postmortem-relevant metadata.
  • Applicable to AI agent workflows, evaluation pipelines, and deployment gateways requiring deterministic behavior and safe fallbacks.

Quick Start

Reproduce the remediation workflow in a test environment to validate strict source contracts.

Frequently Asked Questions about source-fix-remediation-workflow

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

FAQPage Schema
How do I remediate fallback-driven regressions in an evaluation pipeline?

Fallback-driven regressions are remediated by enforcing strict source-level validation and fail-closed transitions, which prevents silent failures and flaky outputs. This workflow tightens evaluation gates by locating transition points and fallback producers.

What is strict source-level validation for AI agent workflows?

Strict source-level validation enforces structured artifact contracts and semantic checks at gate time to guarantee determinism in AI agent workflows. It implements fail-closed transitions with explicit failure paths to preserve safety.

How do I tighten evaluation gates to prevent silent failures in deployment gateways?

Tighten evaluation gates by locating transition points and fallback producers to enforce structured artifact contracts. This deployment gateway workflow prevents silent failures by implementing fail-closed transitions with explicit failure paths.

How do I preserve observability when enforcing fail-closed transitions?

Preserve observability when enforcing fail-closed transitions by capturing detailed logs and postmortem-relevant metadata. The remediation workflow enhances observability alongside strict source contract enforcement to maintain safety guarantees.

Can I use this remediation workflow for rollout gates requiring deterministic behavior?

Yes, this remediation workflow applies to rollout gates and artifact validation across agentic workflows where determinism and safety guarantees are critical. It implements gate tightening and end-to-end validation with explicit failure paths.

Why does my evaluation pipeline produce flaky outputs during rollouts?

Flaky outputs occur in evaluation pipelines due to fallback-driven regressions and silent failures. Enforcing strict source-level validation and fail-closed transitions remediates these issues by tightening gate transitions and validating artifact contracts.