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Agent Skill · 研究检索

results-report(结果报告)

results-report 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。

results-report 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;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 39,506。

总安装 1,402周安装 59GitHub Stars 3,510下载 491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
unknown

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:results-report(结果报告)
来源仓库:https://github.com/galaxy-dawn/claude-scholar
仓库路径:skills/results-report
安装命令:
npx skills add https://github.com/galaxy-dawn/claude-scholar --skill results-report
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/galaxy-dawn/claude-scholar --skill results-report

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。

用于查找和筛选相关信息。results-report 属于研究检索类 Skill,可作为该场景下的辅助能力补充。支持关键词搜索和任务场景匹配。可结合来源仓库核验具体内容。需确认权限范围和检索限制。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

适合快速定位候选结果和信息筛选。

来源仓库内路径:skills/results-report

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/galaxy-dawn/claude-scholar --skill results-rep…;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

results-report 怎么安装?

在终端执行 npx skills add https://github.com/galaxy-dawn/claude-scholar --skill results-report。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

results-report 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。

results-report 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。

results-report 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

results-report 用的人多吗?

公开数据是累计安装 1,402 次,近一周安装 59 次,下载 491 次,GitHub 3,510 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。

results-report 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 3,510 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
results-report

结果报告 · 本页

1,4023,510只读未明确通过

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

Results Report

Write the complete post-experiment summary report after analysis artifacts are ready.

This skill is for the stage after results-analysis.

Role boundary

results-analysis does

  • strict statistics,
  • real figures,
  • figure interpretation scaffolding,
  • stats appendix.

results-report does

  • complete experiment wrap-up report,
  • decision-oriented narrative,
  • figure-by-figure interpretation inside a coherent structure,
  • limitations, failure cases, and next actions,
  • Obsidian write-back into Results/Reports/.

When the task is to create or redesign paper-ready figures/tables themselves, rely on publication-chart-skill instead of expanding results-report into figure/table production.

Do not replace strict analysis with confident prose. If the analysis bundle is missing, first identify the blocker and request or produce the missing bundle.

Default output

The default report is an internal research report, not manuscript prose.

It should be named as:

YYYY-MM-DD--{experiment-line}--r{round}--{purpose}.md

Example:

  • 2026-03-18--freezing--r03--transfer-summary.md
  • 2026-03-18--contrastive-adversarial--r02--ablation-report.md

The note title should be:

{Experiment Line} / Round {N} / {Purpose} / {YYYY-MM-DD}

Read references/report-naming.md before finalizing the filename or note title.

Required frontmatter

---
type: results-report
date: 2026-03-18
experiment_line: freezing
round: 3
purpose: transfer-summary
status: active
source_artifacts:
  - analysis-output/analysis-report.md
  - analysis-output/stats-appendix.md
linked_experiments:
  - Experiments/Freezing-Study.md
linked_results:
  - Results/Freezing-vs-Adapter.md
---

Default report structure

The report must include all sections below.

  1. Executive Summary
  2. Experiment Identity and Decision Context
  3. Setup and Evaluation Protocol
  4. Main Findings
  5. Statistical Validation
  6. Figure-by-Figure Interpretation
  7. Failure Cases / Negative Results / Limitations
  8. What Changed Our Belief
  9. Next Actions
  10. Artifact and Reproducibility Index

Read references/report-structure.md before writing.

Workflow

1. Confirm the report object

Lock these fields first:

  • date,
  • experiment line,
  • round,
  • purpose,
  • linked experiment note,
  • linked durable result note if one already exists.

If round is unknown, do not silently invent a semantic round. Use r00 only as a temporary placeholder and state that it should be normalized later.

2. Read the strict analysis bundle

Minimum required inputs:

  • analysis-report.md
  • stats-appendix.md
  • figure-catalog.md
  • actual figures, if available

If these are missing, either generate them first with results-analysis or explicitly state which claims cannot be supported.

3. Write the report as a decision object

This report is not a transcript of outputs.

Each section must answer a real question:

  • What did we test?
  • What changed numerically?
  • What is actually supported?
  • What failed or remains uncertain?
  • What should we do next?

Read references/decision-oriented-analysis.md for the expected reasoning depth.

4. Interpret figures inside the report

Do not only attach figures.

For each main figure:

  • introduce why it is included,
  • state the key observation,
  • explain the supported interpretation,
  • explain the decision implication.

Read references/figure-interpretation.md and references/statistical-completeness.md as needed.

5. Choose the write target explicitly

If the current repo is bound to an Obsidian project knowledge base:

  • create or update Results/Reports/{report-name}.md,
  • link back to the relevant Experiments/ note,
  • update the matching canonical Results/ note when a durable conclusion is now supported,
  • append a short trace to today's Daily/ note,
  • update .claude/project-memory/<project_id>.md.

If the repo is not bound:

  • write the report as a local markdown artifact in the requested output location or next to the analysis bundle,
  • keep the same filename contract,
  • explicitly say that no Obsidian write-back was attempted.

Use obsidian-project-kb-core conventions only for bound repos. Internal experiment reports belong in Results/Reports/, not Writing/.

6. End with explicit next actions

The report must end with operational decisions, for example:

  • stop a weak branch,
  • schedule one missing ablation,
  • promote a stable finding into manuscript-facing writing,
  • update the active plan.

Required quality bar

  • The report must be dateable, searchable, and attributable to one experiment line and one round.
  • The report must cite actual evidence from the analysis bundle.
  • The report must include negative results when they matter.
  • The report must separate stable conclusion from tentative interpretation.
  • The report must say what changed in project belief and what should happen next.

Reference files

Load only what is needed:

  • references/report-structure.md
  • references/report-naming.md
  • references/figure-interpretation.md
  • references/statistical-completeness.md
  • references/decision-oriented-analysis.md
  • references/EVIDENCE-PROPAGATION.md
  • examples/example-results-report.md

平台分布

Codex

36.14%
按下载量换算177

Claude

28.18%
按下载量换算138

Cursor

21.01%
按下载量换算103

Gemini CLI

9.93%
按下载量换算49

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。目前只有一个公开来源,建议同时核对源仓库。

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