Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/bytedance/deer-flow --skill github-deep-researchAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
GitHub Deep Research Skill
Multi-round research combining GitHub API, websearch, webfetch to produce comprehensive markdown reports.
Research Workflow
- Round 1: GitHub API
- Round 2: Discovery
- Round 3: Deep Investigation
- Round 4: Deep Dive
Core Methodology
Query Strategy
Broad to Narrow: Start with GitHub API, then general queries, refine based on findings.
Round 1: GitHub API
Round 2: "{topic} overview"
Round 3: "{topic} architecture", "{topic} vs alternatives"
Round 4: "{topic} issues", "{topic} roadmap", "site:github.com {topic}"Source Prioritization:
- Official docs/repos (highest weight)
- Technical blogs (Medium, Dev.to)
- News articles (verified outlets)
- Community discussions (Reddit, HN)
- Social media (lowest weight, for sentiment)
Research Rounds
Round 1 - GitHub API Directly execute scripts/github_api.py without read_file():
bash
python /path/to/skill/scripts/github_api.py <owner> <repo> summary
python /path/to/skill/scripts/github_api.py <owner> <repo> readme
python /path/to/skill/scripts/github_api.py <owner> <repo> treeAvailable commands (the last argument of `github_api.py`):
- summary
- info
- readme
- tree
- languages
- contributors
- commits
- issues
- prs
- releases
Round 2 - Discovery (3-5 web_search)
- Get overview and identify key terms
- Find official website/repo
- Identify main players/competitors
Round 3 - Deep Investigation (5-10 web_search + web_fetch)
- Technical architecture details
- Timeline of key events
- Community sentiment
- Use web_fetch on valuable URLs for full content
Round 4 - Deep Dive
- Analyze commit history for timeline
- Review issues/PRs for feature evolution
- Check contributor activity
Report Structure
Follow template in assets/report_template.md:
- Metadata Block - Date, confidence level, subject
- Executive Summary - 2-3 sentence overview with key metrics
- Chronological Timeline - Phased breakdown with dates
- Key Analysis Sections - Topic-specific deep dives
- Metrics & Comparisons - Tables, growth charts
- Strengths & Weaknesses - Balanced assessment
- Sources - Categorized references
- Confidence Assessment - Claims by confidence level
- Methodology - Research approach used
Mermaid Diagrams
Include diagrams where helpful:
Timeline (Gantt):
mermaid
gantt
title Project Timeline
dateFormat YYYY-MM-DD
section Phase 1
Development :2025-01-01, 2025-03-01
section Phase 2
Launch :2025-03-01, 2025-04-01Architecture (Flowchart):
mermaid
flowchart TD
A[User] --> B[Coordinator]
B --> C[Planner]
C --> D[Research Team]
D --> E[Reporter]Comparison (Pie/Bar):
mermaid
pie title Market Share
"Project A" : 45
"Project B" : 30
"Others" : 25Confidence Scoring
Assign confidence based on source quality:
| Confidence | Criteria |
|---|---|
| High (90%+) | Official docs, GitHub data, multiple corroborating sources |
| Medium (70-89%) | Single reliable source, recent articles |
| Low (50-69%) | Social media, unverified claims, outdated info |
Output
Save report as: research_{topic}_{YYYYMMDD}.md
Formatting Rules
- Chinese content: Use full-width punctuation（，。：；！？）
- Technical terms: Provide Wiki/doc URL on first mention
- Tables: Use for metrics, comparisons
- Code blocks: For technical examples
- Mermaid: For architecture, timelines, flows
Best Practices
- Start with official sources - Repo, docs, company blog
- Verify dates from commits/PRs - More reliable than articles
- Triangulate claims - 2+ independent sources
- Note conflicting info - Don't hide contradictions
- Distinguish fact vs opinion - Label speculation clearly
- CRITICAL: Always include inline citations - Use
[citation:Title](URL)format immediately after each claim from external sources - Extract URLs from search results - web_search returns {title, url, snippet} - always use the URL field
- Update as you go - Don't wait until end to synthesize
Citation Examples
Good - With inline citations:
markdown
The project gained 10,000 stars within 3 months of launch [citation:GitHub Stats](https://github.com/owner/repo).
The architecture uses LangGraph for workflow orchestration [citation:LangGraph Docs](https://langchain.com/langgraph).Bad - Without citations:
markdown
The project gained 10,000 stars within 3 months of launch.
The architecture uses LangGraph for workflow orchestration.
