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trust-boundary-calibration

Map autonomous versus gated actions in a Claude harness and score risk and leverage.

Updated Jun 30, 2026
Search Tags:#hooks#permissions#autonomy#claude-code#risk-analysis#agent-grants
One-click install
npx skills add https://github.com/Festo-Wampamba/Claude-Features --skill trust-boundary-calibration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trust-boundary-calibration
Source: https://github.com/Festo-Wampamba/Claude-Features/tree/main/skills/trust-boundary-calibration
Command: npx skills add https://github.com/Festo-Wampamba/Claude-Features --skill trust-boundary-calibration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you decide which actions Claude should take automatically and which ones should require your approval, so your setup matches real risk instead of default caution.

Core Features & Use Cases

  • Boundary inventory: Reviews settings, hooks, skill instructions, and agent grants to map current autonomy versus gating.
  • Risk and leverage analysis: Separates low-risk friction from high-risk actions that should stay behind approval.
  • Redesign guidance: Proposes specific changes to permission rules, hooks, or agent scopes.
  • Use case: Use it when you keep approving routine prompts, or when you suspect an action is happening without enough human oversight.

Quick Start

Ask the skill to audit your Claude permissions, hooks, and agent grants, then recommend a safer autonomy boundary based on risk and leverage.

Frequently Asked Questions about trust-boundary-calibration

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

FAQPage Schema
How do I configure Claude Code permissions to stop approving routine actions?▼

You can reduce unnecessary approval pressure by inventorying your current Claude Code settings and hooks, then redesigning permission rules to allow low-risk autonomous actions while keeping high-leverage actions gated.

What is trust boundary calibration in AI agent configurations?▼

Trust boundary calibration in AI agent configurations is the process of mapping autonomous versus gated actions to identify miscalibrated trust boundaries, ensuring your permission settings match real risk instead of default caution.

How do I audit Claude Code hooks and agent grants for overreach?▼

Audit Claude Code hooks and agent grants by reading configuration sources and scoring each action by risk and leverage to produce a concrete redesign plan that addresses approval pressure, overreach, or unnecessary caution.

When do I need to adjust AI autonomy boundaries in Claude Code?▼

You need to adjust AI autonomy boundaries when you keep approving routine prompts or suspect an action is happening without enough human oversight, indicating a miscalibrated trust boundary between autonomous and gated actions.

Does this approach work with existing Claude Code skill instructions?▼

Yes, this approach works with existing Claude Code skill instructions by reviewing them alongside permission settings, hooks, and agent tool grants to map current autonomy versus gating and propose specific scope changes.

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