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.