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results-report结果报告

Agent Skill

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。

总安装

1,402

周安装

59

GitHub Stars

3,510

下载量

491
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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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

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