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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)
npx skills add https://github.com/athola/claude-night-market --skill code-search

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Listed on Skillselion
Installs80
repo stars325
Security audit2 / 3 scanners passed
Last updatedAugust 2, 2026
Repositoryathola/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

SKILL.mdMarkdownGitHub ↗

Code Search

When To Use

  • Finding existing implementations or libraries on GitHub
  • Part of a /tome:research session 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.

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