ai-coding-agents-settings-policy
FeaturedDesigns settings and policy layers for coding-agent runtimes. Use when modeling source precedence, managed policy, env controls, or runtime settings validation.
AI & Automation 80 stars
17 forks Updated 1 weeks ago MIT
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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
```
## 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/settings-validation-and-safe-runtime-application.md`](references/settings-validation-and-safe-runtime-application.md) | Schema validation, invalid-rule hand...
Details
- Author
- vasilyu1983
- Repository
- vasilyu1983/AI-Agents-public
- Created
- 9 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Integrates with
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