skill-quality-assurance技能质量六维评估助手。使用结构化六维评估模型(T 技术深度、C 认知增强、O 编排能力、E 进化能力、M 市场验证、U 用户体验)对技能进行自动化评估。使用当:(1) 新技能开发完成后需要质量评估,(2) 现有技能需要版本升级评估,(3) 准备 ClawHub 上架前需要质量检查,(4) 定期技能健康检查。
Install via ClawdBot CLI:
clawdbot install pagoda111king/skill-quality-assuranceGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 3, 2026
A development team uses the Skill Quality Assurance tool to automatically evaluate the quality of newly created internal skills. The tool scores each skill across six dimensions and generates actionable improvement suggestions, ensuring all skills meet the organization's quality bar before deployment.
A skill developer preparing to publish on ClawHub runs a pre-release quality check using this skill. The tool verifies that the skill meets the minimum six-dimension scores and passes the mandatory checklist, increasing the likelihood of acceptance and positive user reviews.
When updating an existing skill, a product manager uses the tool to compare the new version's quality against the previous release. The six-dimension report highlights improvements and regressions, guiding the team to focus on critical areas before rolling out the upgrade.
An AI platform team schedules regular health checks for their entire skill portfolio. Using batch evaluation, they identify skills that have degraded in quality over time, such as those with low test coverage or poor documentation, and prioritize maintenance efforts.
Offer basic six-dimension evaluation for free, with a premium tier that provides detailed improvement suggestions, historical tracking, and batch evaluation capabilities. Revenue comes from monthly subscriptions for advanced features.
Integrate the skill into ClawHub or similar marketplaces, charging a small fee per evaluation or per report. This model targets developers who need occasional quality checks before publishing.
Sell annual licenses to organizations that want to enforce quality gates in their development pipeline. The tool integrates with CI/CD systems to automatically evaluate skills on commit or pull request, ensuring consistent quality standards.
💬 Integration Tip
Integrate the evaluation engine as a CI step (e.g., GitHub Action) that runs on each pull request for skills; this ensures quality checks are automated and consistent.
Scored Apr 19, 2026
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