Where does the skill record the outcome of the checks?

All outcomes, evidence, and rationales are recorded in the project's Action Log to maintain a clear audit trail of the development process.

Is this skill specific to quantitative research?

While it is part of the quant-lab repository, it can be used in any software project that utilizes a QUALITY_GATES.md file to define its standards.

How does it handle the QUALITY_GATES.md file?

It parses your project's local QUALITY_GATES.md file to identify specific requirements and uses them as a checklist for the current task.

Can I mark a check as passed without running it?

No, the skill's guardrails prevent marking checks as passing without providing specific evidence or a rationale for why it is not applicable.

What is the purpose of the Quality Gates skill?

The skill ensures that all necessary checks and 'Definition of Done' requirements are met and documented before a task is considered finished.

Quality Gates Manager

Name: Quality Gates Manager
Author: CheekyCodexConjurer

byCheekyCodexConjurer

安全与测试

Enforces Definition of Done criteria by validating required checks and recording outcomes before task completion.

关于

The Quality Gates skill ensures that development tasks adhere to a strict 'Definition of Done' by automating the verification process against your project's QUALITY_GATES.md file. It streamlines the quality assurance workflow by identifying required checks, executing validations, and mandating evidence before any task is marked as complete. This is ideal for maintaining high standards in complex environments like quantitative research or financial modeling where missing a single validation step can lead to significant errors.

主要功能

Automated Definition of Done verification
0 GitHub stars
Detailed Action Log recording for audit trails
Support for rationalized N/A status on non-applicable checks
Direct integration with local QUALITY_GATES.md documentation
Evidence-based check validation to prevent false positives

使用场景

Validating backtesting results and data integrity in quantitative research workflows.
Maintaining consistent code quality standards across a distributed development team.
Ensuring unit tests and documentation are updated before finalizing a feature.

关于

主要功能

Automated Definition of Done verification
0 GitHub stars
Detailed Action Log recording for audit trails
Support for rationalized N/A status on non-applicable checks
Direct integration with local QUALITY_GATES.md documentation
Evidence-based check validation to prevent false positives

使用场景

Validating backtesting results and data integrity in quantitative research workflows.
Maintaining consistent code quality standards across a distributed development team.
Ensuring unit tests and documentation are updated before finalizing a feature.