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#ai
preview-verdicts
Generate the interactive keep/drop verdict preview (HTML page with per-row feedback controls) whenever a prune sweep, batch entry edit, or restructure needs maintainer review before touching README.md — and process the feedback JSON the maintainer pastes back.
DeepseekModel
官方收录技能
★ 精选
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=vinta-awesome-python-claude-skills-preview-verdicts-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name preview-verdicts description Generate the interactive keep/drop verdict preview (HTML page with per-row feedback controls) whenever a prune sweep, batch entry edit, or restructure needs maintainer review before touching README.md — and process the feedback JSON the maintainer pastes back. Verdict preview Maintainer review happens through an interactive HTML page: one row per entry with your seeded verdict and reason, a Keep/Drop toggle and a reason field for the maintainer, and a Copy feedback button that exports only changed or commented rows as JSON. Generate the page, wait for the pasted JSON, then apply it. Entry changes land in README.md only after the review — and only on an explicit go. Generate the preview Build the DATA array. A group is [section, subcategory, rows] ; a row is [entry, url, downloads, verdict, reason] . subcategory may carry a note after — (rendered muted): use it for proposed splits, re-homes, or anything the maintainer should weigh for the whole group. downloads is PyPI last-month as a comma-formatted string; use — when no signal exists (e.g. agent skill packs), stdlib for standard-library modules, fetch failed when the lookup failed. State the fetch date in the sub-header. verdict is keep or drop , seeded from the current adjudication or dry-run. reason is plain language the maintainer reads cold — no invented shorthand. When fresh evidence contradicts the seeded verdict (a big download count on a drop, a dead repo on a keep), say so in that row's reason instead of silently changing the seed. Copy template.html (sibling of this file) and replace the placeholders: __TITLE__ (page title), __SUB__ (sub-header: scope, seed provenance, fetch date, and the standing instruction to flip/comment then Copy feedback), __KEY__ (localStorage key), __DATA__ (the array). __KEY__ must be unique per review — slug plus date, e.g. awesome-python-science-2026-09-01 — because saved state under a reused key bleeds a previous review's flips into rows with the same section and entry name. Write the page to tmp/awesome-python-<slug>-preview.html in the repo root (git-ignored; create the directory if needed), open it, and tell the maintainer the path and the return path: flip or comment rows (they highlight yellow), press Copy feedback , paste the JSON into the chat. Done when the page is open and the return path is stated. Process the pasted feedback Each JSON row is {section, subcategory, entry, my_verdict, your_verdict, reason} . The maintainer's verdict is final — apply it, never re-argue it. An empty reason means the verdict stands unexplained; that is enough. Before executing, surface anything the flips imply that the maintainer has not decided: a use case pushed past its cap, an entry left homeless by a proposed split, a request that is already satisfied (a no-op). Ask, then execute on their go. Done when every pasted row is either applied or surfaced back — none silently dropped.
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该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |