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研究检索external-servicegithub未标认证来源可访问clear审计异常

deep-research深入研究

Agent Skill

deep-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

212

周安装

9

GitHub Stars

2

下载量

74
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:deep-research(深入研究)
来源仓库:https://github.com/bsamiee/parametric_forge
仓库路径:skills/deep-research
安装命令:
npx skills add https://github.com/bsamiee/parametric_forge --skill deep-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。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/bsamiee/parametric_forge --skill deep-research

简介

deep-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。

  • 它主要用于研究检索场景,通过并行代理调度实现全面主题研究。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 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操作。
  • 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。

SKILL.md

[H1][DEEP-RESEARCH]

Dictum: *Iterative dispatch with inter-round critique maximizes research coverage.*

Conduct comprehensive topic research via parallel agent dispatch.

Workflow:

  1. §ORIENT — Execute 3 Exa searches via exa-tools skill, map landscape, extract facets
  2. §ROUND_1 — Dispatch 6-10 agents for breadth coverage via parallel-dispatch skill
  3. §CRITIQUE_1 — Filter findings, retain quality, build skeleton with gaps
  4. §ROUND_2 — Dispatch 6-10 agents to flesh out skeleton
  5. §CRITIQUE_2 — Synthesize holistically, deduplicate, produce final output

Dependencies:

  • exa-tools — Web search and code context queries
  • parallel-dispatch — Agent orchestration mechanics

Input:

  • Topic: Domain to research
  • OutputPath: Target file path (passed by invoking command, default: report.md)
  • Constraints: Context, scaffold, style from invoking skill

[CRITICAL]:

  • [ALWAYS] Main agent writes to OutputPath only—no other files.
  • [ALWAYS] Sub-agents RETURN structured text—main agent is sole file writer.
  • [NEVER] Sub-agents use Write, Edit, Bash, or create any files.

[1][ORIENT]

Dictum: *Initial queries map landscape before dispatch.*

Main agent executes exactly 3 Exa searches via exa-tools skill; these map topic structure.

Map domain landscape; identify facets for agent assignment. Produce facet list (6-10 independent research areas) for Round 1.

[IMPORTANT]:

  • [ALWAYS] Execute 3 Exa searches via exa-tools skill before dispatch.
  • [ALWAYS] Extract facet boundaries from results.
  • [NEVER] Dispatch before orient completes.

[2][ROUND_1]

Dictum: *Breadth via parallel dispatch—6-10 agents exploring independent facets.*

Dispatch 6-10 sub-agents via parallel-dispatch. Assign each agent unique scope from orient facets.

Agent Count: Scale by task complexity (default: 8).

Agent Prompt:

Scope: [Specific facet from orient]
Objective: Research this facet comprehensively
Output: Return structured text (CRITICAL → FINDINGS → SOURCES)
Context: [Topic background, constraints]
Constraint: DO NOT write files—return text only

[CRITICAL]:

  • [ALWAYS] Dispatch ALL agents in ONE message block.
  • [ALWAYS] Include "DO NOT write files" constraint in every agent prompt.
  • [NEVER] Create overlapping scopes.

[3][CRITIQUE_1]

Dictum: *Main agent builds skeleton—retains quality, identifies gaps.*

Main agent (NOT sub-agent) processes Round 1 outputs.

[INDEX][ACTION][CRITERIA]
[1]RemoveLacks focus, duplicates content, missing sources, pre-2024, fails quality
[2]RetainAddresses topic, includes sources, dates 2024-2025, converges across agents

Skeleton: Build from retained → [Domain N]: [findings] + Gaps: + Depth-Targets:

[CRITICAL] Skeleton is first corpus—Round 2 fleshes it out.


[4][ROUND_2]

Dictum: *Depth via parallel dispatch—same agent count, focused on skeleton gaps.*

Dispatch 6-10 sub-agents (same count as Round 1) via parallel-dispatch.

Agent Assignment:

[INDEX][TYPE][PURPOSE][COUNT]
[1]FocusedSpecific gaps from skeleton4-6
[2]WideBroader context for areas2-4

Agent Prompt:

Scope: [Gap or depth-target from skeleton]
Objective: [Focused: fill gap | Wide: broaden context]
Output: Return structured text (CRITICAL → FINDINGS → SOURCES)
Context: [Skeleton content—build on, don't repeat]
Prior: [Relevant Round 1 findings]
Constraint: DO NOT write files—return text only

[CRITICAL]:

  • [ALWAYS] Same agent count as Round 1.
  • [ALWAYS] Include skeleton context.
  • [ALWAYS] Include "DO NOT write files" constraint in every agent prompt.

[5][CRITIQUE_2]

Dictum: *Main agent synthesizes holistically—final corpus for downstream use.*

Main agent (NOT sub-agent) compiles final research output and writes to OutputPath.

Integrate: Merge Round 2 → skeleton. Cross-reference rounds. Resolve conflicts (prioritize sourced, current, convergent).

Filter: Remove duplicates, out-of-scope content, superseded items, unresolved conflicts.

Write: Single file to OutputPath with structure:

  • ## [1][FINDINGS] — Synthesized research by domain
  • ## [2][CONFIDENCE] — High (convergent) | Medium (single-source) | Low (gaps)
  • ## [3][SOURCES] — All sources with attribution

[6][VALIDATION]

Dictum: *Gates prevent incomplete synthesis.*

[VERIFY]:

  • Orient: 3 Exa searches executed via exa-tools skill
  • Round 1: 6-10 agents in ONE message, all returned text (no file writes)
  • Critique 1: Skeleton built, gaps identified
  • Round 2: Same count, focused on skeleton, all returned text (no file writes)
  • Critique 2: Final synthesis, duplicates removed
  • Single file written to OutputPath by main agent only

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

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能力 2

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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

OpenCode

25.36%
按下载量换算19

Antigravity

24.75%
按下载量换算18

Claude Code

18.83%
按下载量换算14

Codex

13.42%
按下载量换算10

windsurf

7.92%
按下载量换算6

Gemini CLI

3.78%
按下载量换算3

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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

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来源信息

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