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Agent Skill · 研究检索

rubric-writer(标题作家)

rubric-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

rubric-writer 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 46,860。

总安装 759周安装 31GitHub Stars 422下载 243核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rubric-writer(标题作家)
来源仓库:https://github.com/willoscar/research-units-pipeline-skills
仓库路径:skills/rubric-writer
安装命令:
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill rubric-writer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill rubric-writer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

rubric-writer 将研究主张转化为结构化评审模板,聚焦新颖性、健全性与清晰度。适合撰写论文评审、项目验收或技术方案评估文档时使用。输出包括证据差距分析、最小修复建议和决策标签(接受/拒绝等)。

安装方式:npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill rubric-writer。需配合 CLAIMS.md 和 NOVELTY_MATRIX.md 文件使用,避免自由发挥结论。

来源仓库内路径:skills/rubric-writer

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/willoscar/research-units-pipeline-skills --ski…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

rubric-writer 怎么安装?

在终端执行 npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill rubric-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

rubric-writer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

rubric-writer 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

rubric-writer 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

rubric-writer 用的人多吗?

公开数据是累计安装 759 次,近一周安装 31 次,下载 243 次,GitHub 422 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

rubric-writer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
rubric-writer

标题作家 · 本页

759422只读MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Rubric Writer (referee report)

Goal: write a complete review that is grounded in extracted claims and evidence gaps.

Role cards (use explicitly)

Referee (fair but sharp)

Mission: evaluate novelty/soundness/clarity/impact with evidence-backed, actionable feedback.

Do:

  • Tie critiques to extracted claims and evidence gaps (not impressions).
  • Separate major vs minor issues; propose minimal fixes.
  • Keep tone calm and professional.

Avoid:

  • Turning the review into a rewrite of the paper.
  • Generic comments ("needs more experiments") without specifying which and why.

Reproducibility Auditor

Mission: identify missing details that block replication and fair comparison.

Do:

  • Ask for protocol details, baselines, ablations, and threat models where missing.
  • Flag underspecified quantitative claims (metric/constraint not stated).

Avoid:

  • Assuming details that are not present in the claims/evidence.

Role prompt: Referee Report Writer

You are writing a referee report.

Your job is to be useful to authors and reviewers:
- summarize contributions (bounded)
- evaluate novelty/soundness/clarity/impact
- list actionable major concerns (problem -> why it matters -> minimal fix)
- list minor comments

Constraints:
- ground critique in output/CLAIMS.md and output/MISSING_EVIDENCE.md
- avoid vague requests; specify the missing baseline/metric/protocol detail

Style:
- professional, concise, specific

Inputs

Required:

  • output/CLAIMS.md
  • output/MISSING_EVIDENCE.md

Optional:

  • output/NOVELTY_MATRIX.md
  • DECISIONS.md (if you have reviewer constraints/format)

Outputs

  • output/REVIEW.md

Workflow

  1. If DECISIONS.md exists, follow any required reviewer format/constraints.
  2. One-paragraph summary (bounded)

- Summarize the paper’s goal + main contributions using output/CLAIMS.md.

  1. Rubric sections

- Novelty: reference output/NOVELTY_MATRIX.md (if present) and/or the related work discussion. - Soundness: reference the concrete gaps from output/MISSING_EVIDENCE.md. - Clarity: identify the top issues that block understanding/reproduction. - Impact: discuss likely relevance if the issues were fixed.

  1. Actionable feedback

- Major concerns: each with “problem → why it matters → minimal fix”. - Minor comments: clarity, presentation, missing details.

  1. Final recommendation

- Choose a decision label and justify it primarily via soundness + evidence quality.

  1. Traceability pass

- Whenever possible, anchor each major concern to claim IDs and evidence-gap IDs. - If output/NOVELTY_MATRIX.md is missing, say so explicitly and keep the novelty judgment conservative.

Output template

Use stable section headings in output/REVIEW.md:

Summary

  • one bounded paragraph on goal + claimed contributions

Novelty

  • novelty judgment
  • strongest overlap/delta evidence
  • explicit note when output/NOVELTY_MATRIX.md is absent

Soundness

  • top evidence gaps
  • protocol / baseline / ablation concerns

Clarity

  • issues that block understanding or reproduction

Impact

  • likely relevance if the major issues are fixed

Major Concerns

  • each item should follow: Problem -> Why it matters -> Minimal fix
  • whenever possible, include claim IDs / evidence-gap IDs in the first line

Minor Comments

  • concise presentation / wording / missing-detail comments

Recommendation

  • one decision label + short justification

Recommendation labels

Use one of:

  • accept
  • weak_accept
  • borderline
  • weak_reject
  • reject

Mini examples (actionable feedback)

Major concern template (good):

  • Problem: The main performance claim is underspecified (task/metric/budget not stated).
  • Why it matters: Without a fixed protocol, comparisons to baselines are not interpretable.
  • Minimal fix: Add a table that lists task, metric definition, budget/tool access assumptions, and seeds; rerun the main comparison under that protocol.

Generic (bad):

  • The paper needs more experiments.

Definition of Done

  • output/REVIEW.md covers novelty/soundness/clarity/impact.
  • Major concerns are actionable (each has a minimal fix).
  • Critiques are traceable to output/CLAIMS.md / output/MISSING_EVIDENCE.md (not free-floating).
  • output/REVIEW.md uses the stable section headings above.
  • If output/NOVELTY_MATRIX.md is absent, the review states that limitation explicitly.

Troubleshooting

Issue: review turns into a rewrite of the paper

Fix:

  • Cut; keep to critique + actionable fixes and avoid adding new content.

Issue: review is generic (“needs more experiments”)

Fix:

  • Replace with concrete gaps from output/MISSING_EVIDENCE.md (which baseline, which dataset, which ablation).

平台分布

Claude Code

30.57%
按下载量换算74

Gemini CLI

24.55%
按下载量换算60

Cursor

15.9%
按下载量换算39

Codex

13.69%
按下载量换算33

OpenCode

7.93%
按下载量换算19

Antigravity

3.58%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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