Agent skill

Ontoly Software Graph

by anbeime in anbeime/skill

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

No licenceAuto-check passedDevelopment

Install Ontoly Software Graph

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

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

GitHub CLI
$ gh skill install anbeime/skill 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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/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
7.6k
Token cost
~801 tokens
SKILL.md length
345 words
Files
3
Skills in repo
57
Repo updated
First seen
Licence
None found

At a glance

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

  • Works in 7 steps: Check whether an Ontoly graph already… → If no graph exists and the user permits… → Inspect graph health before answering:… → …
  • Tasks that involve Software architecture
  • SKILL.md covers When to Use, Required Workflow, Useful Ontoly Capabilities and Answer Shape, 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 anbeime/skill. Use Ontoly's deterministic Software Graph and MCP capabilities for architecture review, request tracing, dependency analysis, configuration lookup, and impact analysis before falling back to source-file search.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `metadata.json`).

It sits in Development, covering Software architecture. It works with Model Context Protocol. The repository describes itself as: 收录最全、更新最快的技能Skills商店:精选原创技能包(涵盖文档处理、内容创作、编程开发、机器学习、自动化工作流),全部打包好可直接安装使用!同时自动抓取GitHub上万个Skills项目,按分类、更新时间、Star数量整理。The most comprehensive and frequently updated AI Agent skill…

When your agent uses it

  • Tasks that involve Software architecture

Example prompts

  • “/ontoly-software-graph”

Workflow steps

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

  1. Check whether an Ontoly graph already exists by looking for .ontoly/, SoftwareGraph.json, diagnostics.json, validation reports, or an…
  2. If no graph exists and the user permits local analysis, run
  3. Inspect graph health before answering: diagnostics, graph hash, semantic coverage, trust or quality score, framework detection, and…
  4. Prefer Ontoly CLI or MCP capabilities for graph questions instead of scanning source files first.
  5. Use repository search only when Ontoly cannot answer, the graph is stale, the graph is incomplete, or the user explicitly asks for…
  6. Always cite graph evidence in the answer: node IDs, edge types, file paths, source locations, diagnostics, or framework analyzer output.
  7. State confidence from graph evidence. Do not guess confidence.

What it can do on your machine

Read from SKILL.md and the folder at commit b8dadc0. 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 801 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 345 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
~801

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 345 words (~801 tokens).

“Use this skill when a coding agent needs evidence-backed software understanding from an Ontoly graph before searching repository files directly.”

— opening of SKILL.md by anbeime
name
ontoly-software-graph

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/ontoly-software-graph of anbeime/skill.

  • SKILL.md
  • README.md
  • metadata.json

Open the folder on GitHubat commit b8dadc0

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 skillanbeime/skill7.6k—~801Automated safety check: PassNone
GitDiagram Repository Overviewahmedkhaleel2004/gitdiagram18k—~427Automated safety check: PassMIT
Architecture Reviewsickn33/agentic-awesome-skills47k1 repos~613Automated safety check: PassAGPL-3.0-only
Ontoly Software Graphsickn33/agentic-awesome-skills47k1 repos~1.8kAutomated safety check: PassMIT
Apex Microsoft Docsjonathan-vella/apex217—~966Automated safety check: PassMIT
Qmdbreferrari/obsidian-mind4.9k—~1.7kAutomated safety check: PassMIT

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Categories

Questions about Ontoly Software Graph

What does Ontoly Software Graph do?

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

When should I use Ontoly Software Graph?

Ontoly Software Graph fits situations like: tasks that involve Software architecture.

How do I install Ontoly Software Graph in Claude Code?

Run `npx skills add anbeime/skill --skill ontoly-software-graph -a claude-code`. Or copy the skill folder (skills/ontoly-software-graph in anbeime/skill) 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 anbeime/skill --skill ontoly-software-graph -a codex`. Or copy the skill folder (skills/ontoly-software-graph in anbeime/skill) 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 anbeime/skill --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?

No licence was found for Ontoly Software Graph or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Ontoly Software Graph use?

About 801 tokens (SKILL.md is roughly 3.2k 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: GitDiagram Repository Overview (ahmedkhaleel2004/gitdiagram, 18k stars), Architecture Review (sickn33/agentic-awesome-skills, 47k stars), Ontoly Software Graph (sickn33/agentic-awesome-skills, 47k stars) and Apex Microsoft Docs (jonathan-vella/apex, 217 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?

anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,605 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 6, 2026.

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