by diskd-ai · Agent Tool · ★ 51
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Codespaces Skill Install: | skills.sh Query a graph to discover module boundaries, dependencies, and blast radius before reading source -- so you read the minimal set of files, never whole directories. Scope & Purpose This skill bundles a belief-map query engine and graph builders for architecture discovery, covering: Module boundary and ownership discovery Dependency and reverse-dependency (blast-radius) tracing Architecture-layer and boundary-violation checks Naming-convention (invariant) checks Call-chain and data-flow tracing Cross-language analysis (Python, TypeScript, TSX) Infrastructure topology from Kustomize, Helm, and Terraform When to Use This Skill Triggers: "How does X call Y?" or "Where is this stored?" "What breaks if I change Z?" Root-cause investigations mentioning services, APIs, jobs, events, or UI flows Architecture reviews, impact analysis, or public-contract changes Before any non-trivial code change (boundary check first) Use cases: Scoping the minimal files to read before implementing a change Blast-radius analysis before a refactor Detecting architecture-layer and naming violations Tracing call chains and data flow across modules Mapping infrastructure...
| Stars | 51 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 66.9664419126625/100 |
| Last Updated | 2026-08-08 |
| Created | 2026-06-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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codespaces is Architecture-aware code search, dependency graphs, and impact analysis for Python, TypeScript, Rust, C#, Java, Go, Ruby, Rails, for AI coding agents.. It is categorized as a Agent Tool with 51 GitHub stars.
codespaces is primarily written in Python. It covers topics such as agent-skill, ai-agents, belief-map.
You can find installation instructions and usage details in the codespaces GitHub repository at github.com/diskd-ai/codespaces. The project has 51 stars and 4 forks, indicating an active community.
The top alternatives to codespaces on Agent Skills Hub include ops-codegraph-tool, logicstamp-context, enola. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.