Tests token-limit override behavior for the linter using gpt-4o scenarios.
npx skills add https://github.com/HaasStefan/skills-lint --skill large-skill
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
This skill enables testing of model-specific token-limit override behavior for the linter.
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.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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