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ontoly-software-graph【开发与工程】Use Ontoly Software Graph evidence, CLI reports, MCP, and official Ontoly Agent Skills before searching source files when reviewing architecture, dependencies, request flows, configuration, impact, or security-sensitive ownership.
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Use this skill when the user asks Codex to understand a TypeScript repository's architecture, dependency graph, request flow, service ownership, configuration usage, impact radius, package topology, or security-sensitive code paths.
Ontoly is a deterministic Software Graph compiler. It does not answer questions with AI. It builds graph evidence that Codex can query before falling back to source search.
Check whether .ontoly/SoftwareGraph.json exists.
If the graph is missing or stale, ask before installing dependencies or writing generated graph files. Then run:
pnpm add -D @0xsarwagya/ontoly-cli
pnpm ontoly build .
Inspect graph quality before answering:
pnpm ontoly coverage .
pnpm ontoly stats .
Prefer Ontoly graph queries before repository-wide source search:
pnpm ontoly architecture --json
pnpm ontoly report dependencies --format markdown
pnpm ontoly report routes --format markdown
pnpm ontoly query impact <node-id>
pnpm ontoly trace <node-id-or-name>
Start Ontoly MCP when the environment supports MCP-backed tools:
pnpm ontoly mcp
Use source files only when the graph is missing, stale, low confidence, or insufficient for the question.
When answering, cite graph evidence:
Never claim certainty beyond Ontoly evidence. If graph coverage is incomplete, say exactly which part is inferred or unresolved.
Ontoly publishes task-specific Agent Skills in its own repository. To inspect or install them with the open skills CLI:
npx skills add 0xsarwagya/ontoly --list
npx skills add 0xsarwagya/ontoly --skill architecture-review
npx skills add 0xsarwagya/ontoly --skill impact-analysis
npx skills add 0xsarwagya/ontoly --skill request-tracing
Use those official skills when the task maps directly to one of their workflows.