
Code Search
- 80 installs
- 325 repo stars
- Updated August 2, 2026
- athola/claude-night-market
Search GitHub for prior art, libraries, and reference implementations while researching what to build or how others solved a problem.
About
Code Search is a library-role agent skill in the Claude Night Market / Tome stack that finds existing implementations and patterns on GitHub during research. Solo builders use it when they need prior art before writing custom integrations, choosing a library, or validating that an approach already exists in open source. The workflow builds GitHub-oriented search queries, executes them through WebSearch, optionally enriches via the GitHub API, ranks results, and emits structured Finding objects for downstream synthesis. It is narrowly scoped: it does not search your local tree and it does not replace academic literature search. Estimated footprint is small (~200 tokens in metadata), with a standard model hint. Pair it with broader research orchestration when exploring competitors or technical feasibility in early journey phases.
- Six-step workflow: build queries, WebSearch, parse results, optional GitHub API, rank findings, return Finding objects
- Integrates with tome.channels.github helpers (build_github_search_queries, parse_github_result, rank_github_findings)
- Designed as part of `/tome:research` or standalone invocation
- Explicit anti-pattern: not for local codebase search (use Grep/Explore) or papers (`/tome:papers`)
Code Search by the numbers
- 80 all-time installs (skills.sh)
- Ranked #5,257 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 80 |
|---|---|
| repo stars | ★ 325 |
| Security audit | 2 / 3 scanners passed |
| Last updated | August 2, 2026 |
| Repository | athola/claude-night-market ↗ |
What it does
Search GitHub for prior art, libraries, and reference implementations while researching what to build or how others solved a problem.
Files
Code Search
When To Use
- Finding existing implementations or libraries on GitHub
- Part of a
/tome:researchsession or standalone search
When NOT To Use
- Searching local codebase (use Grep or Explore agent)
- Academic literature (use
/tome:papers)
Search GitHub for implementations of a given topic.
Usage
Invoked as part of /tome:research or standalone.
Workflow
1. Build search queries using tome.channels.github.build_github_search_queries() 2. Execute queries via WebSearch 3. Parse results via parse_github_result() 4. Optionally use GitHub API via build_github_api_search() for richer metadata 5. Rank via rank_github_findings() 6. Return Finding objects
Exit Criteria
- [ ] At least one GitHub search query built and executed via
WebSearch for the requested topic
- [ ] Results parsed into Finding objects containing repo metadata
(name, URL, stars) and a relevance score
- [ ] Findings returned from
rank_github_findings()sorted by
relevance score descending
- [ ] If no results are found for the query, this is reported
explicitly rather than returning an empty list silently
Related skills
FAQ
Is Code 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.