Agent skill

Ontoly Software Graph

by mxyhi in mxyhi/ok-skills

Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to…

Apache-2.0Auto-check passed

Install Ontoly Software Graph

skills CLI
$ npx skills add mxyhi/ok-skills --skill ontoly-software-graph -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mxyhi/ok-skills ontoly-software-graph --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mxyhi/ok-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ontoly-software-graph .claude/skills/ontoly-software-graph && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ontoly-software-graph
GitHub stars
493
Token cost
~697 tokens
SKILL.md length
274 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to…

  • Works in 6 steps: Check whether an Ontoly graph already… → If the graph is missing and local… → Inspect graph health before answering:… → …
  • SKILL.md covers When to Use, Workflow, Capability Map and Response Pattern, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ontoly Software Graph is an agent skill from mxyhi/ok-skills. Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source search.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Model Context Protocol. The repository describes itself as: Curated AI coding agent skills and AGENTS.md playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKILL.md-compatible tools. The licence is Apache-2.0.

Example prompts

  • “/ontoly-software-graph”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Check whether an Ontoly graph already exists: .ontoly/, SoftwareGraph.json, diagnostics.json, validation reports, graph hash, or MCP setup.
  2. If the graph is missing and local analysis is allowed, run
  3. Inspect graph health before answering: diagnostics, graph hash, semantic coverage, trust or quality score, framework detection, and build…
  4. Prefer Ontoly CLI or MCP capabilities over repository search for graph-answerable questions.
  5. Search source files only when Ontoly cannot answer, the graph is stale or incomplete, or the user explicitly asks for file-level…
  6. Always cite graph evidence: node IDs, edge types, file paths, source locations, diagnostics, framework analyzer output, and confidence.

What it can do on your machine

Read from SKILL.md and the folder at commit 43dfda9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ontoly Software Graph loads about 697 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 274 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~697

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mxyhi/ok-skills at commit 43dfda9, republished under its Apache-2.0 licence (© mxyhi). 274 words, ~697 tokens.

Download SKILL.mdSave it as .claude/skills/ontoly-software-graph/SKILL.md (or your agent's skills folder).
name
ontoly-software-graph
description
Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source search.

Ontoly Software Graph

Use this skill when a coding agent needs graph-backed understanding of a TypeScript repository. Ontoly is the source of truth; the skill only teaches the workflow.

When to Use

  • Explain repository architecture or package/module topology
  • Trace a route, controller, service, function, or dependency path
  • Find services, controllers, providers, modules, routes, configuration, or environment variables
  • Estimate impact before refactoring or deleting code
  • Audit unresolved imports, circular dependencies, dead code, semantic coverage, or graph quality
  • Produce onboarding, documentation, or architecture-review notes with deterministic evidence

Workflow

  1. Check whether an Ontoly graph already exists: .ontoly/, SoftwareGraph.json, diagnostics.json, validation reports, graph hash, or MCP setup.

  2. If the graph is missing and local analysis is allowed, run:

    bash
    ontoly build .
  3. Inspect graph health before answering: diagnostics, graph hash, semantic coverage, trust or quality score, framework detection, and build timestamp.

  4. Prefer Ontoly CLI or MCP capabilities over repository search for graph-answerable questions.

  5. Search source files only when Ontoly cannot answer, the graph is stale or incomplete, or the user explicitly asks for file-level verification.

  6. Always cite graph evidence: node IDs, edge types, file paths, source locations, diagnostics, framework analyzer output, and confidence.

Capability Map

  • Architecture review: ExplainArchitecture
  • Dependency analysis: FindDependencies
  • Impact analysis: ImpactAnalysis
  • Request tracing: TraceExecution
  • Configuration analysis: FindConfigurationUsage
  • Framework analysis: FrameworkReport
  • Dead-code review: FindDeadCode

Response Pattern

Return the direct answer first, then evidence:

text
AuthController handles authentication.

Evidence:
- node: class:src/auth/auth.controller.ts:AuthController
- route edges: HANDLES POST /login and POST /logout
- dependency edges: USES AuthService and JwtService

Confidence: high, because the graph has controller, route, and dependency edges with source locations.

Fallbacks

  • If the graph is missing, build it first when allowed.
  • If validation fails, report the graph issue and verify only the affected area with source search.
  • If several nodes match, show candidates with package/module context.
  • If nothing matches, return NOT_FOUND with the closest graph evidence instead of inventing an answer.

© mxyhi, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ontoly-software-graph of mxyhi/ok-skills.

Open the folder on GitHubat commit 43dfda9

Compare with similar skills

Ontoly Software Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ontoly Software Graph compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ontoly Software Graph this skillmxyhi/ok-skills493—~697Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Questions about Ontoly Software Graph

What does Ontoly Software Graph do?

Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to…. Ontoly Software Graph is an agent skill from mxyhi/ok-skills. Use Ontoly's deterministic Software Graph and MCP capabilities for repository architecture, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source search.

How do I install Ontoly Software Graph in Claude Code?

Run `npx skills add mxyhi/ok-skills --skill ontoly-software-graph -a claude-code`. Or copy the skill folder (ontoly-software-graph in mxyhi/ok-skills) into .claude/skills/ontoly-software-graph in your project. Claude Code loads it when a task matches its description.

How do I install Ontoly Software Graph in Codex?

Run `npx skills add mxyhi/ok-skills --skill ontoly-software-graph -a codex`. Or copy the skill folder (ontoly-software-graph in mxyhi/ok-skills) into .agents/skills/ontoly-software-graph in your project. Codex loads it when a task matches its description.

Can I use Ontoly Software Graph in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mxyhi/ok-skills --skill ontoly-software-graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ontoly-software-graph, .gemini/skills/ontoly-software-graph, .github/skills/ontoly-software-graph and .opencode/skills/ontoly-software-graph in your project.

What does Ontoly Software Graph need to run?

SKILL.md names no scripts, command-line tools or credentials: Ontoly Software Graph is instructions for the agent only.

Does Ontoly Software Graph access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ontoly Software Graph safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ontoly Software Graph use?

Ontoly Software Graph is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ontoly Software Graph use?

About 697 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ontoly Software Graph?

Skills that share tags, products or a category with Ontoly Software Graph: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ontoly Software Graph?

mxyhi (a GitHub user) maintains it in mxyhi/ok-skills, which has 493 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 30, 2026.

Source: mxyhi/ok-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.