Github Search
- 688 installs
- 3.9k repo stars
- Updated January 26, 2026
- parcadei/continuous-claude-v3
github-search is a Claude Code skill that queries GitHub code, repositories, issues, and pull requests from an agent session via an MCP harness script.
About
github-search is a Claude Code skill that searches GitHub code, repositories, issues, and pull requests through an MCP-backed Python harness in continuous-claude-v3. Invocations run via uv run python -m runtime.harness scripts/mcp/github_search.py with --type set to code, repos, issues, or prs, plus a --query string supporting GitHub search syntax. Optional --owner and --repo filters narrow results to specific repositories. Developers reach for github-search when they need prior art, open bug reports, or pull request history without leaving the agent session or opening the GitHub web UI.
- Four search modes: code, repos, issues, and PRs via one harness script
- Supports GitHub search syntax plus optional owner and repo filters
- Runs through `uv run python -m runtime.harness scripts/mcp/github_search.py`
- Requires github MCP in mcp_config.json with GITHUB_PERSONAL_ACCESS_TOKEN
Github Search by the numbers
- 688 all-time installs (skills.sh)
- +7 installs in the week ending Jul 26, 2026 (Skillselion tracking)
- Ranked #89 of 739 Git & Pull Requests skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| Installs | 688 |
|---|---|
| repo stars | ★ 3.9k |
| Security audit | 2 / 3 scanners passed |
| Last updated | January 26, 2026 |
| Repository | parcadei/continuous-claude-v3 ↗ |
How do you search GitHub from a coding agent?
Query GitHub code, repos, issues, and pull requests from your agent without leaving the session when you need prior art or open bugs.
Who is it for?
Developers using continuous-claude-v3 who need GitHub code, issue, and PR search without leaving the agent session.
Skip if: Local git history inspection, GitHub Actions CI management, or teams without the continuous-claude-v3 MCP harness installed.
When should I use this skill?
The user asks to search GitHub code, find open issues, look up repos, or query pull requests from within an agent.
What you get
GitHub code matches, repository listings, issue results, and pull request search output
- GitHub search results
- Filtered code matches
- Issue and PR listings
By the numbers
- Supports 4 search types: code, repos, issues, and prs
Files
GitHub Search Skill
When to Use
- Search code across repositories
- Find issues or PRs
- Look up repository information
Instructions
uv run python -m runtime.harness scripts/mcp/github_search.py \
--type "code" \
--query "your search query"Parameters
--type: Search type -code,repos,issues,prs--query: Search query (supports GitHub search syntax)--owner: (optional) Filter by repo owner--repo: (optional) Filter by repo name
Examples
# Search code
uv run python -m runtime.harness scripts/mcp/github_search.py \
--type "code" \
--query "authentication language:python"
# Search issues
uv run python -m runtime.harness scripts/mcp/github_search.py \
--type "issues" \
--query "bug label:critical" \
--owner "anthropics"MCP Server Required
Requires github server in mcp_config.json with GITHUB_PERSONAL_ACCESS_TOKEN.
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Pick this over manual GitHub web search when you need programmatic code, issue, and PR queries inside a continuous-claude-v3 agent session.
FAQ
What search types does github-search support?
github-search supports four --type values: code, repos, issues, and prs. Each query runs through the MCP harness script with optional --owner and --repo filters for repository-scoped searches.
How do you invoke github-search from Claude Code?
github-search runs via uv run python -m runtime.harness scripts/mcp/github_search.py with --type and --query arguments. The --query parameter accepts standard GitHub search syntax for code, issue, and PR lookups.
Is Github Search safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.