large-skill

Tests token-limit override behavior for the linter using gpt-4o scenarios.

7|Updated Feb 3, 2026

Search Tags:#testing #config #CI #linter #override #token-limit #GPT-4o

Ready to run

npx skills add https://github.com/HaasStefan/skills-lint --skill large-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: large-skill
Source: https://github.com/HaasStefan/skills-lint/tree/main/.github/skills/large-skill
Command: npx skills add https://github.com/HaasStefan/skills-lint --skill large-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables testing of model-specific token-limit override behavior for the linter.

Core Features & Use Cases

Test harness: Provides a controlled environment to exercise the token-limit override logic for gpt-4o.
Override resolution: Verifies priority and conflict resolution across multiple config scenarios.
Use Case: In CI, simulate various configurations and confirm metrics and outcomes reflect configured thresholds.

Quick Start

Run the linter against this skill in your project to validate that gpt-4o overrides are applied and reported correctly. Configure the repository's skills-lint config to reference this skill and execute the linter.

Frequently Asked Questions about large-skill

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

FAQPage Schema

How do I test gpt-4o token-limit overrides for a linter in CI?▼

To test gpt-4o token-limit overrides in CI, configure the repository's skills-lint config to reference the target skill and execute the linter to validate that higher thresholds are applied and reported correctly.

What is token-limit override resolution for the linter?▼

Token-limit override resolution is the process of loading model-specific configuration rules for gpt-4o and validating priority and conflict resolution across multiple config scenarios to produce deterministic linting results.

How do I validate conflicting token-limit configurations during automated testing?▼

You validate conflicting token-limit configurations by simulating various config scenarios in a controlled test harness, confirming that the linter correctly applies the highest configured gpt-4o thresholds and reports expected metrics.

Does the linter test harness require specific dependencies to simulate gpt-4o overrides?▼

The linter test harness requires no external dependencies to simulate gpt-4o overrides, relying solely on loading override rules from your configuration and applying them deterministically to the target SKILL.md.

Why are my gpt-4o token-limit overrides not resolving correctly in automated tests?▼

Token-limit overrides may fail to resolve correctly if the repository's skills-lint config is not properly configured to load the gpt-4o override rules, preventing the linter from applying higher thresholds to the target SKILL.md.

Can I use this linter test harness to verify threshold metrics outside of CI environments?▼

Yes, you can use this linter test harness outside of CI environments by running the linter locally against the target skill to verify that gpt-4o token-limit overrides are applied and reported deterministically.