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Agent Skill · 研究检索

deep-research(深入研究)

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。

deep-research 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,权限为需要联网;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 14,099。

总安装 8,836周安装 354GitHub Stars 956下载 2,860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
MIT

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/daymade/claude-code-skills
仓库路径:skills/deep-research
安装命令:
npx skills add https://github.com/daymade/claude-code-skills --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/daymade/claude-code-skills --skill deep-research

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。

deep-research 构建多代理协同的高保真研究报告生成体系。采用 Lead Agent 协调 + Subagents 并行整理的多层架构设计。内置证据映射、来源权威评级与交叉验证机制保障内容可信度。支持多轮合成迭代,自动构建带时间戳的引用注册表。

适用于竞品分析、技术调研等需深度信息整合的场景,输出带溯源标记的报告。

来源仓库内路径:skills/deep-research

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/daymade/claude-code-skills --skill deep-resear…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

deep-research 怎么安装?

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

deep-research 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。

deep-research 需要什么权限?

权限级别是需要联网。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。

deep-research 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

deep-research 用的人多吗?

公开数据是累计安装 8,836 次,近一周安装 354 次,下载 2,860 次,GitHub 956 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。

deep-research 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 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
deep-research

深入研究 · 本页

8,836956需要联网MIT未通过

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

Deep Research

Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.

Architecture: Lead Agent + Subagents

Lead Agent (coordinator — minimizes raw search context)
  |
  P0: Environment + source policy setup
  |
  P1: Research Task Board (roles, queries, parallel groups)
  |
  Dispatch ──→ Subagent A ──→ writes task-a.md ──┐
           ──→ Subagent B ──→ writes task-b.md ──┤ (parallel)
           ──→ Subagent C ──→ writes task-c.md ──┘
  |                                               |
  |     research-notes/  <────────────────────────┘
  |
  P2: Build citation registry with source_type + as_of + authority
  P3: Evidence-mapped outline with counter-claim flags
  P4: Draft from notes (never from raw search results)
  P5: Counter-review (claims, confidence, alternatives)
  P6: Verify (every [n] in registry, traceability check)
  P7: Polish → final report with confidence markers

Context efficiency: Subagents' raw search results stay in their context and are discarded. Lead agent sees only distilled notes (~60-70% context reduction).

Mode Selection

Determine the research mode before starting:

DimensionOptions
Topic ModeEnterprise Research (company/corporation) OR General Research (industry/policy/tech)
Depth ModeStandard (5-6 tasks, 3000-8000 words) OR Lightweight (3-4 tasks, 2000-4000 words)
  • Enterprise Research Mode: Six-dimension data collection with structured analysis frameworks (SWOT, risk matrix, competitive barrier quantification)
  • General Research Mode: Standard P0-P7 research pipeline with source governance
  • Depth Selection: Lightweight for single entity/concept < 30 words; Standard for multi-entity comparison or "深入"/"comprehensive" requests

Source Governance (V6)

Source Accessibility Classification

CRITICAL RULE: Every source must be classified by accessibility:

AccessibilityDefinitionExamplesUsage Rule
publicAvailable to any external researcher without authenticationPublic websites, news articles, WHOIS (without privacy), academic papers✅ Always allowed
semi-publicRequires registration or limited accessLinkedIn profiles, Crunchbase basic, industry reports (free tier)✅ Allowed with disclosure
exclusive-user-providedUser's paid subscriptions, private APIs, proprietary databasesCrunchbase Pro, PitchBook, private data feeds, internal databases✅ ALLOWED for third-party research
private-user-ownedUser's own accounts when researching themselvesUser's registrar for user's own company, user's bank for user's own finances❌ FORBIDDEN - circular verification

⚠️ CIRCULAR VERIFICATION BAN: You must NOT:

  • Use user's private data to "discover" what they already know about themselves
  • Research user's own company by accessing user's private accounts
  • Present user's private knowledge as "research findings"

✅ EXCLUSIVE INFORMATION ADVANTAGE: You SHOULD:

  • Use user's Crunchbase Pro to research competitors
  • Use user's proprietary databases for market research
  • Use user's private APIs for investment analysis
  • Leverage any exclusive source user provides for third-party research

Source Type Labels

Every source MUST also be tagged with:

LabelDefinitionExamples
officialPrimary source, official documentationCompany SEC filings, government reports, official blog
academicPeer-reviewed researchJournal articles, conference papers, dissertations
secondary-industryProfessional analysisIndustry reports, analyst coverage, trade publications
journalismNews reportingReputable media outlets, investigative journalism
communityUser-generated contentForums, reviews, social media, Q&A sites
otherUncategorized or mixedAggregators, unverified sources

Quality Gates:

  • Standard mode: ≥30% official sources in final approved set
  • Lightweight mode: ≥20% official sources
  • Maximum single-source share: ≤25% (Standard), ≤30% (Lightweight)
  • Minimum unique domains: 5 (Standard), 3 (Lightweight)

AS_OF Date Policy

Set AS_OF date explicitly at P0. For all time-sensitive claims:

  • Include source publication date with every citation
  • Downgrade confidence if source is older than relevant horizon
  • Flag stale sources in registry (studies >3 years, news >6 months for fast-moving topics)

P0: Environment & Policy Setup

Check capabilities before starting:

CheckRequirementImpact if Missing
web_search availableRequiredStop - cannot proceed
web_fetch availableRequired for DEEP tasksSCAN-only mode
Subagent dispatchPreferredDegrade to sequential
Filesystem writableRequiredIn-memory notes only

Set policy variables:

  • AS_OF: Today's date (YYYY-MM-DD) - mandatory for timed topics
  • MODE: Standard (default) or Lightweight
  • SOURCE_TYPE_POLICY: Enforce official/academic/secondary/journalism/community/other labels
  • COUNTER_REVIEW_PLAN: What opposing interpretation to test

Report: [P0 complete] Subagent: {yes/no}. Mode: {standard/lightweight}. AS_OF: {YYYY-MM-DD}.

When researching a specific company/enterprise, follow this specialized workflow that ensures six-dimension coverage, quantified analysis frameworks, and three-level quality control.

Enterprise Workflow Overview

Enterprise Research Progress:
- [ ] E1: Intake — confirm company entity, research depth, format contract
- [ ] E2: Six-dimension data collection (parallel where possible)
  - [ ] D1: Company fundamentals (entity, founding, funding, ownership)
  - [ ] D2: Business & products (segments, products, revenue structure)
  - [ ] D3: Competitive position (industry rank, competitors, barriers)
  - [ ] D4: Financial & operations (3-year financials, efficiency metrics)
  - [ ] D5: Recent developments (6-month events, strategic signals)
  - [ ] D6: Internal/proprietary sources (or note limitation)
- [ ] E3: Structured analysis frameworks
  - [ ] SWOT analysis (evidence-backed, 4 quadrants × 3-5 entries)
  - [ ] Competitive barrier quantification (7 dimensions, weighted score)
  - [ ] Risk matrix (8 categories, probability × impact)
  - [ ] Comprehensive scorecard (6 dimensions, weighted total)
- [ ] E4: L1/L2/L3 quality checks at each stage transition
- [ ] E5: Draft report using 7-chapter enterprise template
- [ ] E6: Multi-pass drafting + UNION merge (same as general Step 6-7)
- [ ] E7: Present draft for human review and iterate

P1: Research Task Board

Decompose the research question into 4-6 investigation tasks (Standard) or 3-4 tasks (Lightweight).

Each task assignment includes:

  • Expert Role: Specialist persona (e.g., "Policy Historian", "Ecosystem Mapper")
  • Objective: One-sentence investigation goal
  • Queries: 2-3 pre-planned search queries
  • Depth: DEEP (fetch 2-3 full articles) or SCAN (snippets sufficient)
  • Output: Path to research notes file
  • Parallel Group: Group A (independent) or Group B (depends on Group A)

Task Decomposition Rules

  1. Each task covers one coherent sub-topic a specialist would own
  2. Group A tasks must be independent and source-diverse
  3. Max 3 tasks per parallel group (concurrency limit)
  4. Every task must flag time-sensitive claims and expected citation aging risk

Enterprise Research Integration

When in Enterprise Research Mode, task board maps to six dimensions:

  • Task A: Company fundamentals (entity, founding, funding, ownership)
  • Task B: Business & products (segments, products, revenue structure)
  • Task C: Competitive position (industry rank, competitors, barriers)
  • Task D: Financial & operations (3-year financials, efficiency metrics)
  • Task E: Recent developments (6-month events, strategic signals)
  • Task F: Internal/proprietary sources (or document limitation)

Report: [P1 complete] {N} tasks in {M} groups. Dispatching Group A.


Enterprise Research Mode (Specialized Pipeline)

When researching a specific company/enterprise, follow this specialized workflow that ensures six-dimension coverage, quantified analysis frameworks, and three-level quality control.

E1: Intake

Same as P0/P1 above, plus:

  • Confirm the exact legal entity being researched (parent vs subsidiary)
  • Select research depth: Quick scan (3-5 pages) / Standard (10-20 pages) / Deep (20-40 pages)
  • Identify any specific comparison targets (benchmark companies)

P2: Dispatch + Investigate

Subagents execute tasks using references/subagent_prompt.md and output to references/research_notes_format.md.

With Subagents (Claude Code / Cowork / DeerFlow)

  1. Dispatch Group A tasks in parallel (max 3 concurrent)
  2. Each subagent searches, fetches, and tags source types
  3. Every source line includes Source-Type and As Of
  4. Wait for Group A completion
  5. Dispatch Group B (can read Group A notes)

Subagent Output Requirements

Each task-{id}.md must contain:

  • Sources section: URLs from actual search results with Source-Type, As Of, Authority (1-10)
  • Findings section: Max 10 one-sentence facts with source numbers
  • Deep Read Notes (DEEP tasks): 2-3 sources read in full with key data/insights
  • Gaps section: What was searched but NOT found, alternative interpretations

Without Subagents (Degraded Mode)

Lead agent executes tasks sequentially, acting as each specialist. Raw search results are discarded after writing notes.

Enterprise Research: Six-Dimension Collection

Follow references/enterprise_research_methodology.md for:

  • Detailed collection workflow per dimension (query strategies, data fields, validation)
  • Data source priority matrix (P0-P3 ranking)
  • Cross-validation rules (min sources, max deviation thresholds)

Key principles:

  • Evidence-driven: every conclusion must trace to a citable source
  • Multi-source validation: key data requires ≥2 independent sources
  • Restrained judgment: mark speculation explicitly, avoid unsubstantiated claims
  • Structured presentation: complex information via tables, lists, hierarchies

Run L1 quality check after completing each dimension (see enterprise_quality_checklist.md).

Status per task: [P2 task-{id} complete] {N} sources, {M} findings. Status all: [P2 complete] {N} tasks done, {M} total sources. Building registry.

E3: Structured Analysis Frameworks

Apply frameworks from references/enterprise_analysis_frameworks.md in order:

  1. SWOT analysis — each entry with evidence + source + impact assessment
  2. Competitive barrier quantification — 7 dimensions with weighted scoring → A+/A/B+/B/C+/C rating
  3. Risk matrix — 8 mandatory categories, probability × impact → Red/Yellow/Green
  4. Comprehensive scorecard — 6-dimension weighted total → X/10

Run L2 quality check after analysis is complete.

E4: Quality Control

Three-level checks from references/enterprise_quality_checklist.md:

  • L1 (Data): Source count, attribution, cross-validation, timeliness
  • L2 (Analysis): SWOT completeness, risk coverage, barrier scoring, conclusion support
  • L3 (Document): Structure compliance, format consistency, readability, appendices

E5: Draft Using Enterprise Template

Use the 7-chapter enterprise report template from enterprise_quality_checklist.md:

  1. Company Overview
  2. Business & Product Structure
  3. Market & Competitive Position
  4. Financial & Operations Analysis
  5. Risks & Concerns
  6. Recent Developments
  7. Comprehensive Assessment & Conclusion

Plus appendices: Data Source Index, Glossary, Disclaimer.

E3-E7: Enterprise Analysis, Drafting, and Review


P3: Citation Registry + Source Governance

Lead agent reads all task notes and builds unified registry.

Registry Process

  1. Read every task file's ## Sources section
  2. Merge all sources, deduplicate by URL
  3. Assign sequential [n] numbers by first appearance
  4. Tag: source_type, as_of date, authority score (1-10), task id
  5. Apply quality gates:

- Standard: ≥12 approved sources, ≥5 unique domains, ≥30% official - Lightweight: ≥6 approved sources, ≥3 unique domains, ≥20% official - Max single-source share: ≤25% (Standard), ≤30% (Lightweight)

  1. Drop sources below threshold and list them explicitly

Registry Output Format

CITATION REGISTRY

Approved:
[1] Author/Org — Title | URL | Source-Type: official | Accessibility: public | Date: 2026-03-01 | Auth: 8 | task-a
[2] ...

Dropped:
x Source | URL | Source-Type: community | Accessibility: privileged | Auth: 3 | Reason: PRIVILEGED SOURCE - NOT ALLOWED

Stats: {approved}/{total}, {N} domains, official_share {xx}%
Privileged sources rejected: {N}

Critical rule: These [n] are FINAL. P5 may only cite from Approved list. Dropped sources never reappear.

Circular verification handling: When researching the user's own company/assets, if you discover data in user's private accounts (e.g., user's domain registrar showing they own domains), you MUST:

  1. Reject it from the registry (user already knows this)
  2. Note it as "CIRCULAR - USER ALREADY KNOWS" in Dropped
  3. Search for equivalent PUBLIC sources (e.g., public WHOIS, news articles)
  4. Report from external investigator perspective only

Exclusive source handling: When user EXPLICITLY PROVIDES their paid subscriptions or private APIs for third-party research (e.g., "Use my Crunchbase Pro to research competitors"), you SHOULD:

  1. Accept it as "exclusive-user-provided" accessibility
  2. Use it as competitive advantage
  3. Cite it properly in registry
  4. If no public equivalent exists, mark as [unverified] or omit the claim

Report: [P3 complete] {approved}/{total} sources. {N} domains. Official share: {xx}%. Privileged rejected: {N}.

Handling Information Black Box

When researching entities with no public footprint (like the "字节跳动子公司" example):

What an external researcher would find:

  • WHOIS: Privacy protected → No owner info
  • Web search: No news, no press releases
  • Social media: No company pages
  • Business registries: No public API or requires local access
  • Result: Complete information black box

Correct response:

Findings: NO PUBLIC INFORMATION AVAILABLE

Sources checked:
- WHOIS (public): Privacy protected [failed]
- Company registry (public): Access denied/No API [failed]
- News media: No coverage [failed]
- Corporate website: Placeholder only [minimal]

Verdict: UNABLE TO VERIFY COMPANY EXISTENCE from external perspective
Sources found: 0 (or minimal, e.g., only WHOIS showing domain exists)
Confidence: N/A - Insufficient evidence

DO NOT:

  • ❌ Use user's own credentials to "fill in the gaps"
  • ❌ Assume the company exists based on domain registration alone
  • ❌ Fill missing data with speculation
  • ❌ Claim to have "verified" information you accessed through privileged means

DO:

  • ✅ Clearly state what an external researcher can/cannot verify
  • ✅ Document all failed search attempts
  • ✅ Mark claims as [unverified] or omit entirely
  • ✅ Downgrade mode to Lightweight or stop if insufficient public sources
  • ✅ Recommend direct contact for due diligence

P4: Evidence-Mapped Outline

Lead agent reads notes + registry to build outline.

  1. Identify cross-task patterns
  2. Design sections topic-first, not task-order-first
  3. Map each section to specific findings with source numbers
  4. Flag sections needing counter-review
  5. Mark recency-sensitive claims with AS_OF checks

Outline format:

## N. {Section Title}
Sources: [1][3][7] from tasks a, b
Claims: {claim from task-a finding 3}, {claim from task-b finding 1}
Counter-claim candidates: {alternative explanations}
Recency checks: {source dates + AS_OF}
Gaps: {limited official evidence}

P5: Draft from Notes

Write section by section using references/report_template_v6.md.

Rules:

  • Every factual claim needs citation [n]
  • Numbers/percentages must have source
  • Add confidence marker per section: High/Medium/Low with rationale
  • Add counter-claim sentence when evidence conflicts
  • No new sources may be introduced
  • Use [unverified] for unsupported statements

Anti-hallucination:

  • Lead agent never invents URLs — only from subagent notes
  • Lead agent never fabricates data — mark [unverified] if number not in notes

Status: [P5 in progress] {N}/{M} sections, ~{words} words.


P6: Counter-Review (Mandatory)

For each major conclusion, perform opposite-view checks:

  1. Could the conclusion be wrong?
  2. Which high-impact claims depend on a single source?
  3. Which claims lack official/academic support?
  4. Are stale sources used for time-sensitive claims?
  5. Find ≥3 issues (re-examine if 0 found)

Using Counter-Review Team (Recommended)

For comprehensive parallel review, use the Counter-Review Team:

# 1. Prepare inputs
counter-review-inputs/
  ├── draft_report.md
  ├── citation_registry.md
  ├── task-notes/
  └── p0_config.md

# 2. Dispatch to 4 specialist agents in parallel
SendMessage to: claim-validator
SendMessage to: source-diversity-checker
SendMessage to: recency-validator
SendMessage to: contradiction-finder

# 3. Wait for all specialists to complete

# 4. Send to coordinator for synthesis
SendMessage to: counter-review-coordinator
  inputs: [4 specialist reports]

# 5. Receive final P6 Counter-Review Report

See references/counter_review_team_guide.md for detailed usage.

Manual Counter-Review (Fallback)

If Counter-Review Team is unavailable, perform manual checks:

  • Verify every high-confidence claim has ≥2 sources
  • Check official/academic backing for key claims
  • Verify AS_OF dates on time-sensitive claims
  • Document opposing interpretations

Output

Include in final report:

## 核心争议 / Key Controversies
- **争议 1:** [主张 A 与反向证据 B 对比] [n][m]
- **争议 2:** ...

Report: [P6 complete] {N} issues found: {critical} critical, {high} high, {medium} medium.


P7: Verify

Cross-check before finalization:

  1. Registry cross-check: List every [n] in report vs approved registry
  2. Spot-check 5+ claims: Trace to task notes
  3. Remove/fix non-traceable claims
  4. Validate no dropped source resurrected
  5. Check source concentration for key claims

Report: [P7 complete] {N} spot-checks, {M} violations fixed.


Output Requirements

  • Match the requested language and tone
  • Preserve technical terms in English
  • Respect the report spec and formatting rules
  • Include a references section or bibliography

Reference Files

Core V6 Pipeline References

FileWhen to Load
source_accessibility_policy.mdP0 (CRITICAL): Source classification rules - read first
subagent_prompt.mdP2: Task dispatch to subagents
research_notes_format.mdP2: Subagent output format
report_template_v6.mdP5: Draft with confidence markers and counter-review
quality_gates.mdAll phases: Quality thresholds and anti-hallucination checks

General Research References

FileWhen to Load
research_report_template.mdBuild outline and draft structure
formatting_rules.mdEnforce section formatting and citation rules
source_quality_rubric.mdScore and triage sources
research_plan_checklist.mdBuild research plan and query set
completeness_review_checklist.mdReview for coverage, citations, and compliance

Enterprise Research References (load when in Enterprise Research Mode)

FileWhen to Load
enterprise_research_methodology.mdSix-dimension data collection workflow, source priority, cross-validation rules
enterprise_analysis_frameworks.mdSWOT template, competitive barrier quantification, risk matrix, comprehensive scoring
enterprise_quality_checklist.mdL1/L2/L3 quality checks, per-dimension checklists, 7-chapter report template

Anti-Patterns

  • Single-pass drafting without parallel complete passes
  • Splitting passes by section instead of full report drafts
  • Ignoring the format contract or user template
  • Claims without citations or evidence table mapping
  • Mixing conflicting dates without calling out discrepancies
  • Copying external AI output without verification
  • Deleting intermediate drafts or raw research outputs
  • Lead agent reading raw search results — only read subagent notes
  • Inventing URLs — only use URLs from actual search results
  • Resurrecting dropped sources — dropped in P3 never reappear
  • Missing AS_OF for time-sensitive claims — always include source date
  • Skipping counter-review — mandatory P6 must find ≥3 issues
  • CIRCULAR VERIFICATION — never use user's private data to "discover" what they already know about themselves
  • IGNORING EXCLUSIVE SOURCES — when user provides Crunchbase Pro etc. for competitor research, USE IT

Next Step: Verify and Deliver

After completing research, suggest verification and output:

Research report complete: [N] sources cited, [M] claims made.

Options:
A) Verify facts — run /fact-checker on the report (Recommended)
B) Create slides — run /ppt-creator from the findings
C) Export as PDF — run /pdf-creator for formal delivery
D) No thanks — the report is ready as-is

平台分布

Claude Code

29.11%
按下载量换算833

Antigravity

23.17%
按下载量换算663

OpenCode

16.23%
按下载量换算464

Gemini CLI

10.7%
按下载量换算306

Cursor

7.08%
按下载量换算202

Codex

2.82%
按下载量换算81

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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