dos-enforce-tune

Tune DOS enforcement policy knobs from false-deny and held-catch evidence.

18|4|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/anthony-chaudhary/dos-kernel --skill dos-enforce-tune
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dos-enforce-tune
Source: https://github.com/anthony-chaudhary/dos-kernel/tree/main/claude-plugin/skills/dos-enforce-tune
Command: npx skills add https://github.com/anthony-chaudhary/dos-kernel --skill dos-enforce-tune

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you tune DOS enforcement policy using real outcome evidence so you can reduce false denials without weakening valuable catches.

Core Features & Use Cases

  • Outcome-driven policy tuning: Adjust intervention policy knobs based on false-deny and held-catch evidence instead of guesswork.
  • Safe iterative evaluation: Compare candidate changes against a baseline using measured net_task_delta and only keep proven improvements.
  • Guardrailed enforcement changes: Work with intervention policy settings, intervention ladder ranks, and improvement thresholds while avoiding runtime-logic edits.
  • Use Case: A maintainer wants to loosen an overly strict policy that is blocking legitimate work, but only if the new settings preserve catch quality and pass the kernel’s checks.

Quick Start

Ask the assistant to review DOS enforcement outcomes, tune the policy knobs in dos.toml, and keep only changes that measurably improve net_task_delta while preserving suite health and truth cleanliness.

Frequently Asked Questions about dos-enforce-tune

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

FAQPage Schema
How do I tune DOS enforcement policy to reduce false denials?

To reduce false denials in DOS enforcement policy, adjust intervention policy knobs using false-deny and held-catch evidence. You compare candidate changes against a baseline and keep only those that measurably improve net_task_delta while passing suite health checks.

What evidence is required to calibrate DOS intervention gating?

Calibrating DOS intervention gating requires measured net_task_delta gains, suite-passed evidence, and truth-clean evidence. This outcome-driven approach ensures you adjust intervention ladder ranks and improvement thresholds based on real results rather than guesswork.

How do I safely adjust intervention ladder ranks without weakening catches?

Safely adjust intervention ladder ranks by evaluating candidate changes against a baseline using measured net_task_delta. Only keep policy configurations that preserve catch quality and pass the kernel's suite health and truth cleanliness checks.

Can I modify runtime logic while tuning DOS enforcement settings?

No, you must avoid runtime-logic edits or self-modifying policy changes when tuning DOS enforcement. Guardrailed enforcement changes are limited to adjusting intervention policy knobs, ladder ranks, and improvement thresholds to ensure safe iterative evaluation.

How do I configure dos.toml for operational policy calibration?

Configure dos.toml for operational policy calibration by reviewing DOS enforcement outcomes and tuning the policy knobs. Apply changes only if they measurably improve net_task_delta while preserving suite health and truth cleanliness.