feat: add initial skill authoring workspace

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

skills/zhihu-hotlist/references/data-quality.md

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+# Data Quality
+
+This skill can return useful partial data, but it must not overclaim completeness.
+
+## Main Quality Risks
+
+- comment areas may not load for every hot item
+- the DOM may expose only visible comments, not the full set
+- generic selectors may match the wrong footer controls
+- compact text counts can be parsed but still reflect display approximations
+
+## Partial Success Rule
+
+The source implementation tracks partial item failures during comment collection. If some detail pages fail but the run still returns a snapshot:
+
+- report the run as partial
+- include how many items were missing comment metrics
+- keep the successful hotlist capture separate from comment-metric completeness
+
+## Snapshot Caveats
+
+The source store design keeps:
+
+- `snapshot_id`
+- capture timestamp
+- page URL
+- collector version
+- item list
+- collection stats
+
+This is enough for reproducible reporting, but it does not guarantee that every metric field was fully captured.
+
+## Recommended Caution Language
+
+Use wording like:
+
+- `热榜列表已采集，评论指标为部分完成。`
+- `报告基于最新快照生成，部分条目缺少评论指标。`
+- `数字来自页面可见指标，可能低于完整站内统计。`
+
+Avoid wording like:
+
+- `全部评论指标已准确采集`
+- `完整真实热度`
+- `无缺失`
+