Halve actionable debt on a scorecard surface and re-pin baselines at saturation.
npx skills add https://github.com/anthony-chaudhary/fak --skill score-2x
Please help me install this Agent Skill. Skill: score-2x Source: https://github.com/anthony-chaudhary/fak/tree/main/.claude/skills/score-2x Command: npx skills add https://github.com/anthony-chaudhary/fak --skill score-2x
This skill solves the problem of Goodhart's Law, where metrics become stagnant or performative because they are no longer challenged, preventing genuine improvement in code quality and agent performance.
Run the score-2x skill to analyze the code-quality surface and perform a 2x debt reduction pass.
High-intent search queries and answers about installing and using this skill.
To prevent Goodhart's Law in code quality metrics, you need a continuous improvement loop that systematically halves actionable debt and automatically tightens thresholds when surfaces saturate at grade A. This ensures standards evolve to match genuine progress.
Metric hardening for quality assurance scorecards automatically raises the bar by tightening thresholds or promoting KPIs when a surface saturates at grade A. This maintains a live gradient of improvement across your codebase.
To run a 2x debt reduction pass, execute the score-2x skill to analyze your code-quality surface. The skill orchestrates genuine fixes to systematically halve actionable debt while adhering to strict anti-gaming and evidence-based verification protocols.
Yes, automating governance and debt reduction requires integration with scorecard control panes. This integration allows the system to measure, reduce, and harden performance metrics while re-pinning control-plane baselines upon saturation.
Evidence-based verification prevents metric gaming in automation by enforcing strict protocols that require genuine fixes for debt reduction. This ensures measurable improvements reflect actual code quality rather than performative threshold manipulation.
You should tighten thresholds for KPIs and industry alignment metrics when a specific surface saturates at grade A. Automatically promoting these metrics maintains a live gradient of improvement and prevents performance stagnation.
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