GitHub Deep Research

SkillDev tools

Multi-round deep research on any GitHub repo via API.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the GitHub Deep Research skill

What this skill tells your AI

The instructions your AI receives, as published by hezaohezao/poirot in poirot/backend/agents/skill/builtin_skills/research/github-deep-research/SKILL.md and read by ahel’s review.

Multi-round research combining GitHub API, web_search, and browse_page to produce comprehensive markdown reports on any GitHub repository.

Poirot note: The original deer-flow skill uses a bundled scripts/github_api.py helper. Poirot doesn't bundle that script, so this version uses bash with curl to the GitHub API directly + gh CLI when available.

When to Use

  • User provides a GitHub repository URL
  • User asks for comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of an open source project
  • User wants to understand a project's architecture, history, or community

Research Workflow

  • Round 1: GitHub API (repo metadata, README, file tree, contributors, commits)
  • Round 2: Discovery (web search for overview, competitors)
  • Round 3: Deep Investigation (architecture, timeline, community sentiment)
  • Round 4: Deep Dive (commit history, issues/PRs for feature evolution)

Round 1 — GitHub API

Setup

# Resolve owner/repo from remote URL
REMOTE_URL=$(git remote get-url origin 2>/dev/null || echo "")
# Or user provides owner/repo directly
OWNER="owner"
REPO="repo"

Repo metadata via curl

# Repo summary
curl -s "https://api.github.com/repos/$OWNER/$REPO" | python3 -c "
import sys, json
r = json.load(sys.stdin)
print(f'Name: {r[\"full_name\"]}')
print(f'Description: {r[\"description\"]}')
print(f'Stars: {r[\"stargazers_count\"]}')
print(f'Forks: {r[\"forks_count\"]}')
print(f'Language: {r[\"language\"]}')
print(f'License: {r.get(\"license\",{}).get(\"spdx_id\",\"N/A\")}')
print(f'Created: {r[\"created_at\"][:10]}')
print(f'Updated: {r[\"updated_at\"][:10]}')
"

# README
curl -s "https://api.github.com/repos/$OWNER/$REPO/readme" | python3 -c "
import sys, json, base64
r = json.load(sys.stdin)
print(base64.b64decode(r['content']).decode('utf-8'))
"

# Recent commits
curl -s "https://api.github.com/repos/$OWNER/$REPO/commits?per_page=10" | python3 -c "
import sys, json
for c in json.load(sys.stdin):
    print(f'{c[\"sha\"][:7]} {c[\"commit\"][\"author\"][\"date\"][:10]} {c[\"commit\"][\"message\"].splitlines()[0][:80]}')
"

# Languages
curl -s "https://api.github.com/repos/$OWNER/$REPO/languages"

# Contributors
curl -s "https://api.github.com/repos/$OWNER/$REPO/contributors?per_page=10" | python3 -c "
import sys, json
for c in json.load(sys.stdin):
    print(f'{c[\"login\"]:20s} {c[\"contributions\"]} commits')
"

Via gh CLI (if available)

gh repo view $OWNER/$REPO
gh api repos/$OWNER/$REPO/commits --paginate | head -50

Round 2 — Discovery (3-5 web_search)

  • Get overview and identify key terms
  • Find official website/docs
  • Identify main players/competitors

Round 3 — Deep Investigation (5-10 web_search + browse_page)

  • Technical architecture details
  • Timeline of key events
  • Community sentiment
  • Use browse_page 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

  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

Confidence Scoring

ConfidenceCriteria
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

Citation Format

Always include inline citations: [citation:Title](URL) immediately after each claim from external sources.

Output

Save report as: .poirot/outputs/research_{topic}_{YYYYMMDD}.md

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. Always include inline citations

Signals

GitHub stars
220
Forks
19
Last commit
Jul 2026

ahel review

  • S4info
    community integration — published by hezaohezao, not github

Automated review, not a security audit. Ruleset v1.

Advanced
Catalog kind
skill
Gateway key
github-deep-research
Source
github.com/hezaohezao/poirot