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Capability Graph Builder

Checked
daffy0208·vlatest·agents·MIT

This tool quickly constructs capability graphs to visualize and understand complex systems, streamlining analysis & decision-making.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Capability Graph Builder, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add daffy0208/ai-dev-standards --skill "Capability Graph Builder" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

daffy0208

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned daffy0208/ai-dev-standards at 32c3241e48.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
32c3241e48
Manifest
skills/capability-graph-builder/SKILL.md
Scanned
3 files, 660 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Capability Graph Builder constructs a queryable graph representing capabilities and their relationships, using information from capability manifests. It leverages OpenAI Codex to infer missing relationships and validate compatibility declarations between skills, MCPs (Model Context Protocol), or tools. The resulting graph allows for analysis of dependencies and facilitates orchestration planning.

When to use it

  • After generating manifests for skills/MCPs/tools.
  • When building the orchestration system's knowledge base.
  • To discover capability relationships and dependencies.
  • To validate manifest consistency across resources.
  • To enable graph-based queries for orchestration planning.

Key capabilities

  • Graph Construction: Builds nodes (capabilities) and edges (relationships) from manifests.
  • Relationship Inference: Uses Codex to discover implicit relationships based on descriptions.
  • Consistency Validation: Validates bidirectional relationships (e.g., if A enables B, does B require A?).
  • Path Finding: Supports queries like "what skills are needed to achieve X?".
  • Subgraph Extraction: Finds all capabilities within a specific domain or with particular effects.

Example prompts

  • "Build a capability graph from the manifests in the SKILLS/ directory and save it as capability-graph.json."
  • "Generate a graph, using Codex to infer missing relationships, and validate consistency between manifests located in the TOOLS/ directory."
  • “What skills are needed to achieve [specific goal]?”

Tips & gotchas

  • This skill requires capability manifests (in YAML format) as input. These are typically generated by a separate manifest generator tool.
  • The skill utilizes OpenAI Codex for relationship inference and validation, so access to the OpenAI API is necessary.
  • Ensure the manifest_dir contains valid manifest files; otherwise, graph construction will fail.