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研究检索需要联网github未标认证来源可访问许可证需确认审计提醒

research研究

Agent Skill

research 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

897

周安装

37

GitHub Stars

3

下载量

293
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

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:research(研究)
来源仓库:https://github.com/alpoxdev/hypercore
仓库路径:skills/research
安装命令:
npx skills add https://github.com/alpoxdev/hypercore --skill research
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/alpoxdev/hypercore --skill research

简介

research 用于事实调查与证据合成,输出可复用的 Markdown 研究报告。

  • 适用于趋势分析、对比研究或需数据支撑的决策场景。
  • 聚焦证据收集而非自由写作,保持核心技能轻量可扩展。
  • 安装后可通过关键词触发,自动保存报告至 .hypercore/research/ 目录。
  • 注意不用于文案润色或纯表达性写作任务。

SKILL.md

@rules/research-workflow.md @rules/validation.md

Research Skill

Investigate a topic, verify the evidence, and save a reusable report.
  • Turn a research question into a saved markdown brief under .hypercore/research/.
  • Prefer evidence gathering and synthesis over freeform writing.
  • Keep the core skill lean and load support files only when they change the search or reporting plan.

<routing_rule>

Use research when the main job is fact-finding, comparison, trend analysis, or an evidence-backed recommendation.

Do not use research when:

  • the user only wants writing, rewriting, or presentation polish without new evidence gathering
  • the user only needs a narrow library or API lookup with no synthesis; use direct official-doc lookup instead
  • the main job is code modification, debugging, or implementation rather than gathering evidence

</routing_rule>

<activation_examples>

Positive requests:

  • "Research AI agent framework tradeoffs for me."
  • "Compare WebSocket and SSE for realtime notifications."
  • "Look up the latest Korea SaaS market trends and summarize them."

Negative requests:

  • "Rewrite this report so it sounds more executive."
  • "Implement the migration after you read the docs."

Boundary requests:

  • "/research react useEffectEvent" Use research only if the user wants synthesis across multiple sources; otherwise do a direct official-doc lookup.
  • "/research" Ask immediately for the missing topic before doing any collection work.

</activation_examples>

<depth_modes>

ModeQuery budgetSource floorSecond passDeliverable shape
--quick1-3 distinct searches3+ reviewed, 2+ citedNoshort answer or brief memo
default4-6 distinct searches6+ reviewed, 4+ citedOnly if gaps remainstandard report
--deep7-10 distinct searches10+ reviewed, 6+ citedYesdecision memo with caveats

</depth_modes>

<support_file_read_order>

Read in this order:

  1. This core SKILL.md to confirm that the job is research and to pick the depth.
  2. instructions/sourcing/reliable-search.md before running multiple live searches so query dedupe, recency handling, and stop conditions stay explicit.
  3. references/channel-selection.md when choosing between local repo search, official docs, GitHub evidence, and live web sources.
  4. references/report-template.md when drafting or saving the report.
  5. rules/validation.md before declaring the research complete.

</support_file_read_order>

PhaseTaskOutput
0Confirm topic, depth, scope, and whether the request is date-sensitiveResearch plan
1Choose channels and search questionsQuery plan
2Collect evidence in priority orderSource set
3Synthesize a conclusion-first report with citationsDraft report
4Save under .hypercore/research/ and run validationFinal report + concise user summary

Phase rules

  • If the topic is missing, ask for it before any search.
  • If the request is broad, high-stakes, or --deep, use sequential thinking to define 3-5 research questions, scope, date constraints, and stop conditions before searching.
  • If the request is narrow and low-risk, state a short plan and start collecting without turning the skill into a planning exercise.
  • Prefer repo-local search for internal project questions, official docs for package or API questions, GitHub evidence for release or implementation history, and live web sources for market, news, or trend work.
  • When the user asks for "latest", "current", "today", or similar wording, verify with live sources and write exact dates in the report instead of relative dates.
  • Save before closing. Do not stop at a chat answer if the skill was invoked to produce a report.
  • Keep search queries distinct and stop when the evidence is sufficient; do not repeat the same query across channels.
  • Prefer primary or official sources first for technical and product claims.
  • Attach a link to every non-obvious claim in the final report.
  • Use comparison tables when judging alternatives.
  • Record unresolved conflicts or missing evidence explicitly instead of smoothing them over.
  • Hardcoding a specific year into evergreen search or reasoning rules
  • Claims without citations
  • Comparison conclusions without a visible evidence basis
  • Placeholder tool or role names when the local runtime already offers a clearer direct path

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

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

34.04%
按下载量换算100

Claude

32.94%
按下载量换算97

Cursor

17.52%
按下载量换算51

Gemini CLI

9.13%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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