Scan codebases for placeholders and enforce multi-stage quality gates before merging.
npx skills add https://github.com/LayerDynamics/Lore --skill quality-layerdynamics
Please help me install this Agent Skill. Skill: quality Source: https://github.com/LayerDynamics/Lore/tree/main/lore/skills/quality Command: npx skills add https://github.com/LayerDynamics/Lore --skill quality-layerdynamics
This Skill ensures code meets high standards by scanning for and fixing incomplete implementations, stubs, and mocks, and by enforcing quality gates before shipping.
Use the quality skill to scan the current project for any placeholder code.
High-intent search queries and answers about installing and using this skill.
To scan for placeholder code and stub implementations, this tool automatically detects TODO comments, language-native stubs, and incomplete logic, then guides you through remediating each issue before merge readiness checks. It ensures code completeness through strict quality gates.
A multi-stage quality gate process enforces code standards by sequentially running static analysis, spec compliance checks, and code quality reviews before a branch can be merged. It prevents incomplete implementations, stubs, and mocks from reaching production environments.
You can enforce code quality in CI/CD pipelines by integrating automated scanning that identifies incomplete code and triggers guided remediation. Strict quality gates then verify spec compliance and code completeness before allowing any merge to proceed.
Yes, automated remediation identifies all forms of incomplete code, from TODO comments to stubs, and guides the fixing process. It prompts for user input when necessary to ensure verifiable implementation and adherence to strict code completeness rules.
The best way to detect mocks and stubs before release is using an automated scanner that flags incomplete implementations and enforces multi-stage quality gates. This verifies that all code is complete, verifiable, and meets merge readiness standards.
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