.claude/skills/ym-feedback-evidence-triageRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
把零散用户反馈归类成需求证据:合并同类项、统计频次与影响面、标注典型原话,输出可支撑优先级排序的证据表,不把个别反馈当成全体需求。当用户说「整理用户反馈」「反馈归类」「需求证据」时使用。 也适用于「反馈整理」「用户声音」「feedback triage」这类说法。
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/ym-feedback-evidence-triageRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/ym-feedback-evidence-triageRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/ym-feedback-evidence-triageRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @liuyuming0823/ym-feedback-evidence-triageclawhub inspect @liuyuming0823/ym-feedback-evidence-triage --version 0.1.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:d347eb363980f76b238da583db6b3886d620d6c3930a660f812d0761af922eb9references/evidence-rules.mdSKILL.mdtemplates/evidence-table-template.md- Initial release of ym-feedback-evidence-triage. - Clusters scattered user feedback into clear evidence tables with frequency, impact, and exemplar quotes. - Rigorously grades evidence strength to avoid overgeneralization from weak signals. - Highlights conflicting user needs and provides precise prioritization suggestions (excluding cost estimates). - Flags missing evidence and sample-size limitations, with transparent reporting boundaries. - Output formatted for clarity in Markdown, following a structured evidence table template.