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Kirrito-k423
Kirrito-k423COMMUNITY
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customer-config

Generate, validate, and inspect AutoResearch customer configuration files with redacted secrets.

Updated Jun 6, 2026
Search Tags:#pydantic#validation#cli#configuration#yaml#secrets#keyring
One-click install
npx skills add https://github.com/Kirrito-k423/AutoResearch --skill customer-config-kirrito-k423
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-config
Source: https://github.com/Kirrito-k423/AutoResearch/tree/main/.agents/skills/01-customer-config
Command: npx skills add https://github.com/Kirrito-k423/AutoResearch --skill customer-config-kirrito-k423

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic, keyring, and includes scripts (resource) components.

What problem does it solve? Managing customer configuration files for AutoResearch involves sensitive fields like passwords, SSH keys, and API tokens that must never be exposed in plain text. This Skill provides a safe workflow for creating, validating, and viewing config.yaml files without leaking credentials. ## Core Features & Use Cases - Config Generation: Initialize a new customer configuration file via the config_init.py script with a structured template. - Schema Validation: Validate configuration files against a Pydantic schema to catch malformed or missing fields before runtime. - Redacted Display: Inspect configuration contents with sensitive values masked (e.g., passwords shown as ***), using keyring or environment variable placeholders for secrets. - Use Case: Before running an experiment on a remote NPU server, generate a config.yaml, validate it against the schema, and review it with secrets redacted to confirm settings without exposing credentials. ## Quick Start Ask the assistant to generate and validate a new AutoResearch customer configuration file at config/config.yaml with secrets stored safely.

Frequently Asked Questions about customer-config

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

FAQPage Schema
How do I generate a customer configuration file for AutoResearch?▼

Run the config_init.py script with an output path such as ./config/config.yaml to create a new configuration file from the template. You can then edit the generated file to fill in server and credential details.

How to validate a config.yaml file against a Pydantic schema?▼

Use the config_validate.py script with the --config flag pointing to your config.yaml file. It checks the file against the Pydantic schema and reports malformed or missing fields before runtime.

How are passwords and API tokens stored in the configuration?▼

Sensitive fields like passwords, SSH keys, and API tokens are handled through keyring or environment variable placeholders rather than plain text. When displaying the config, secret values are redacted and shown as masked characters.

Can I view my configuration without exposing secrets?▼

Yes, the config_show.py script displays the configuration with sensitive values masked, for example showing passwords as ***. This lets you verify settings in terminals or shared screens without leaking credentials.

When should I not use the customer-config skill?▼

Do not use it for health checks, network or training stack operations, service reachability tests, or report rendering. Its scope is limited to configuration file generation, validation, and redacted inspection.

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