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report-findings报告调查结果

Agent Skill

report-findings 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

494

周安装

21

GitHub Stars

26

下载量

173
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:report-findings(报告调查结果)
来源仓库:https://github.com/outfitter-dev/agents
仓库路径:skills/report-findings
安装命令:
npx skills add https://github.com/outfitter-dev/agents --skill report-findings
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/outfitter-dev/agents --skill report-findings

简介

report-findings 用于查找、检索和筛选相关信息。

  • 它适合根据关键词或任务场景快速定位候选结果。
  • 可在 Codex、Claude、Cursor、Gemini CLI 中使用。
  • 安装命令为 npx skills add https://github.com/outfitter-dev/agents --skill report-findings。
  • 建议确认是否会触发联网或命令执行。

SKILL.md

Report Findings

Multi-source gathering → authority assessment → cross-reference → synthesize → present with confidence.

<when_to_use>

  • Synthesizing research from multiple sources
  • Presenting findings with proper attribution
  • Comparing options with structured analysis
  • Assessing source credibility
  • Documenting research conclusions

NOT for: single-source summaries, opinion without evidence, rushing to conclusions

</when_to_use>

<source_authority>

TierConfidenceTypesUse For
1: Primary90-100%Official docs, original research, direct observationFactual claims, guarantees
2: Secondary70-90%Expert analysis, established publications, official guidesBest practices, patterns
3: Community50-70%Q&A sites, blogs, wikis, anecdotal evidenceWorkarounds, pitfalls
4: Unverified0-50%Unattributed, outdated, content farms, unchecked AIInitial leads only

See source-tiers.md for detailed assessment criteria.

</source_authority>

<cross_referencing>

Two-Source Minimum

Never rely on single source for critical claims:

  1. Find claim in initial source
  2. Seek confirmation in independent source
  3. If sources conflict → investigate further
  4. If sources agree → moderate confidence
  5. If 3+ sources agree → high confidence

Conflict Resolution

When sources disagree:

  1. Check dates — newer information often supersedes
  2. Compare authority — higher tier beats lower tier
  3. Verify context — might both be right in different scenarios
  4. Test empirically — verify through direct observation if possible
  5. Document uncertainty — flag if unresolved

Triangulation

For complex questions, seek alignment across:

  • Official sources — what should happen
  • Direct evidence — what actually happens
  • Community reports — what people experience

All three align → high confidence. Mismatches → investigate the gap.

</cross_referencing>

<comparison_analysis>

Three comparison methods:

MethodWhen to Use
Feature MatrixSide-by-side capability comparison
Trade-off AnalysisStrengths/weaknesses/use cases per option
Weighted MatrixQuantitative scoring with importance weights

See comparison-methods.md for templates and examples.

</comparison_analysis>

<synthesis_techniques>

Extract Themes

Across sources, identify:

  • Consensus — what everyone agrees on
  • Disagreements — where opinions differ
  • Edge cases — nuanced situations

Present Findings

  1. Main answer — clear, actionable
  2. Supporting evidence — cite 2-3 strongest sources
  3. Caveats — limitations, context-specific notes
  4. Alternatives — other valid approaches

</synthesis_techniques>

<confidence_calibration>

LevelIndicatorCriteria
High90-100%3+ tier-1 sources agree, empirically verified
Moderate60-89%2 tier-2 sources agree, some empirical support
LowBelow 60%Single source or tier-3 only, unverified

Flag remaining uncertainties even at high confidence.

</confidence_calibration>

<output_format>

Standard report structure:

## Summary
{ 1-2 sentence answer }

## Key Findings
1. {FINDING} — evidence: {SOURCE}

## Comparison (if applicable)
{ matrix or trade-off analysis }

## Confidence Assessment
Overall: {LEVEL} {PERCENTAGE}%

## Sources
- [Source](url) — tier {N}

## Caveats
{ uncertainties, gaps, assumptions }

See output-template.md for full template with guidelines.

</output_format>

ALWAYS:

  • Assess source authority before citing
  • Cross-reference critical claims (2+ sources)
  • Include confidence levels with findings
  • Cite sources with proper attribution
  • Flag uncertainties

NEVER:

  • Cite single source for critical claims
  • Present tier-4 sources as authoritative
  • Skip confidence calibration
  • Hide conflicting sources
  • Omit caveats when uncertainty exists

Research vs Report-Findings:

  • research skill covers the full investigation workflow using MCP tools
  • This skill (report-findings) covers synthesis, source assessment, and presentation

Load this skill during research synthesis stage, or standalone for any task requiring multi-source synthesis with proper attribution.

适合场景

01

用户想查找某类 Agent Skill 时

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

26.37%
按下载量换算46

Cursor

23.53%
按下载量换算41

windsurf

19.62%
按下载量换算34

Antigravity

13.86%
按下载量换算24

Codex

8.41%
按下载量换算15

Gemini CLI

3.71%
按下载量换算6

安全审计

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通过

Snyk

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

来源信息

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