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@5f13117
by dianeldianel555/dskills65 stars
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Deterministic Software Graph analysis via Ontoly CLI and MCP. Use when: (1) Codebase architecture, dependency, route, service, module, configuration, or impact questions need graph evidence, (2) A repository should be analyzed before source search, (3) You need a persistent SoftwareGraph.json for validation, MCP, or agent workflows. Triggers: "build software graph", "trace route", "impact analysis", "architecture summary", "dependency graph", "what uses this", "Ontoly".

Use this Skill: https://skilld.dev/gh/dianel555/dskills/ontoly

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SKILL.md

≈121 tokens always: the name and description. ≈1.3k when used: this file. ≈94 more on demand in 1 file.

Ontoly - Software Graph Analysis

Build and query deterministic Software Graphs for TypeScript repositories. Ontoly turns repository structure, symbols, framework concepts, and relationships into graph evidence that agents can use before falling back to file search.

Prerequisites

# Recommended: run through npx so the current published CLI is used
npx ontoly --help

If the project already has Ontoly installed, prefer the repository-local package manager command, such as pnpm ontoly, npm exec ontoly, or npx ontoly.

Quick Start

# From the repository root
npx ontoly build .

# Start MCP for agent integrations
npx ontoly mcp

# Inspect available commands
npx ontoly --help

Expected outputs may include .ontoly/SoftwareGraph.json, diagnostics, graph statistics, indexes, and metadata depending on the Ontoly version and repository configuration.

Tool Routing Policy

Prefer Ontoly Before File Search

Task Avoid Use Ontoly
Architecture summary Reading every README/source folder Build graph, inspect graph statistics and architecture report
Impact analysis Grep for identifier text Query dependencies, callers, callees, and related nodes
Request flow Manually follow controller/service files Trace route/controller/service relationships
Configuration audit Search .env names only Query configuration and environment-variable nodes
Dead code review Guess from unused exports Use graph diagnostics and unreachable/dead-code evidence

When to Use Built-in Tools

  • Ontoly is not installed and cannot be run in the environment
  • The graph reports low coverage or missing framework support
  • The question depends on source comments, prose documentation, generated artifacts, or runtime data not represented in the graph
  • You need to verify a suspected graph gap

Workflow

Phase 1: Graph Readiness

  1. Locate the repository root.
  2. Check for an existing Ontoly graph, usually .ontoly/SoftwareGraph.json.
  3. If missing or stale, run:
npx ontoly build .
  1. Review diagnostics, graph hash, node count, edge count, framework detection, and coverage/trust signals before answering.

Phase 2: Query

Choose the narrowest query or capability for the question:

Question Type Query Direction
"What owns auth?" Services, controllers, modules, packages
"What handles POST /login?" Routes, handlers, request lifecycle
"What breaks if I remove X?" Impact analysis, consumers, dependency traversal
"Where is DATABASE_URL used?" Configuration and environment-variable usage
"Which modules depend on this package?" Package/module dependency traversal
"Why is this service reachable?" Containment, registration, route, and dependency edges

Phase 3: Answer with Evidence

Always include:

  • direct answer
  • relevant node IDs and node kinds
  • relationship names and directions
  • source locations when present
  • diagnostics or graph-quality warnings
  • confidence derived from graph evidence

Output Format

## Answer
{Concise answer.}

## Graph Evidence
| Type | Evidence |
|------|----------|
| Node | `{nodeId}` ({kind}) |
| Edge | `{source} --RELATIONSHIP--> {target}` |
| Location | `{file}:{line}` |
| Diagnostic | `{code}: {message}` |

## Confidence
{High/Medium/Low} because {specific graph evidence, coverage, diagnostics}.

## Fallbacks
{Any source search used, or graph gaps that prevented a full answer.}

Common Commands

# Build a graph for the current repository
npx ontoly build .

# Build a graph for a specific repository
npx ontoly build /path/to/repo

# Start the MCP server
npx ontoly mcp

# Validate skills if using Ontoly Agent Skills
npx ontoly skills validate

Error Handling

Error Recovery
ontoly command not found Use npx ontoly --help or install Ontoly as a dev dependency
Build fails Report command, exit code, diagnostics, and smallest blocker
No graph output Confirm repository root, package manager, permissions, and Ontoly config
Ambiguous node List candidate node IDs/kinds/locations before answering
Low graph coverage Answer only evidenced parts and label missing coverage

Anti-Patterns

Prohibited Correct
Search files first for architecture questions Build/query Ontoly graph first
Claim certainty without graph evidence Include nodes, edges, diagnostics, and confidence
Hide graph gaps with manual inference State missing node/edge/framework coverage
Compare raw node names across tools Compare semantic concepts and relationship evidence

Limitations

  • Requires the Ontoly CLI package or repository-local installation
  • Graph completeness depends on the language and framework analyzers available in the installed Ontoly version
  • Runtime-only behavior may require additional source or runtime evidence

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub18d

    The skill performs software architecture and dependency analysis using the Ontoly CLI. It uses standard package management tools to run its commands and interacts with the local repository to build a software graph.

  • Socket18d

    No alerts

  • Snyk18d

    Risk: LOW · No issues

Signed by skilld at 5f13117. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last week.

Activeupdated 3 months ago

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