github-deep-research

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkDeclared4 observations
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha d0b58bb330ae · 28 Oct 2026Report an issue or request a re-scan

• Publisherbytedance GitHub organizationOwner of the repository this skill is read from
• Source folderbytedance/deer-flow/skills/public/github-deep-researchThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdictd0b58bb330aeA new audit runs when the source changes
• Repository statusNot archivedPushed today
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown…

---
name: github-deep-research
description: Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.
---

# GitHub Deep Research Skill

Multi-round research combining GitHub API, web_search, web_fetch 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**:
1. Official docs/repos (highest weight)
2. Technical blogs (Medium, Dev.to)
3. News articles (verified outlets)
4. Community discussions (Reddit, HN)
5. 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> tree
```

**Available commands (the last argument of `github_api.py`):**
- summary
- info
- readme
- tree
- languages
- contributors
- commits
- issues
- prs
- releases

The `issues` command returns repository issues only, excluding pull requests. It follows additional pages when needed to fill the requested issue limit; use `prs` to research pull requests separately.

**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`:

1. **Metadata Block** - Date, confidence level, subject
2. **Executive Summary** - 2-3 sentence overview with key metrics
3. **Chronological Timeline** - Phased breakdown with dates
4. **Key Analysis Sections** - Topic-specific deep dives
5. **Metrics & Comparisons** - Tables, growth charts
6. **Strengths & Weaknesses** - Balanced assessment
7. **Sources** - Categorized references
8. **Confidence Assessment** - Claims by confidence level
9. **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, 2025-04-01
```

**Architecture (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" : 25
```

## Confidence 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

1. **Start with official sources** - Repo, docs, company blog
2. **Verify dates from commits/PRs** - More reliable than articles
3. **Triangulate claims** - 2+ independent sources
4. **Note conflicting info** - Don't hide contradictions
5. **Distinguish fact vs opinion** - Label speculation clearly
6. **CRITICAL: Always include inline citations** - Use `[citation:Title](URL)` format immediately after each claim from external sources
7. **Extract URLs from search results** - web_search returns {title, url, snippet} - always use the URL field
8. **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.
```

Excerpt, first 5,240 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/bytedance/deer-flow
git -C deer-flow checkout d0b58bb330ae

Works in

1. 2026-10-28
   ✓SAFE B 89 / 100

   first audit · source d0b58bb330ae

Questions about github-deep-research

• github.com/bytedance/deer-flow/tree/main/skills/public/github-de — the audited source at commit d0b58bb330ae and every finding aboveObserved · 28 Oct 2026

Spotted something wrong? Report a correction · Methodology