ai-coding-agents-settings-policy

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Designs coding-agent settings. Use when diagnosing precedence, managed policy, runtime controls, skill catalog budgets, persistent notes, or searchable history.

AI & Automation 89 stars 19 forks Updated 3 days ago MIT

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Quality Score: 91/100

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80
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Description 5%
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Skill Content

# AI Coding Agents Settings Policy Use this skill to design or review the settings and policy layer of a coding-agent runtime: settings sources, precedence, managed policy, validation, safe environment handling, and runtime application of settings changes. This skill owns configuration and policy architecture for coding-agent runtimes. For project memory in `AGENTS.md` or `CLAUDE.md`, use [`../agents-memory/SKILL.md`](../agents-memory/SKILL.md). ## ASCII Flow ```text settings sources defaults + managed policy + user + project + local + flags + env | v precedence merge deterministic order + source provenance + plugin-only restrictions | v validation schema + forbidden keys + unsafe env + unknown options | v runtime application provider policy + tools + permissions + plugins + UI + cache invalidation | v audit record effective settings without secrets ``` Validation scope (2026-09-11): Codex skill catalog budget guidance and bundle structure. Other platform claims retain their own dated checks below. ## Quick Reference | Question | Read | Outcome | |----------|------|---------| | How should settings sources and policy precedence work? | [`references/settings-source-precedence-and-managed-policy.md`](references/settings-source-precedence-and-managed-policy.md) | Source model, merge order, managed policy, plugin-only restrictions | | How should settings be validated and applied safely? | [`references/setting...

Details

Author
vasilyu1983
Repository
vasilyu1983/AI-Agents-public
Created
10 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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