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@a84b3db
by EgonexAIegonex-ai/understand-anything85k stars
7,160

Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships

Use this Skill: https://skilld.dev/gh/egonex-ai/understand-anything/understand

This session only. Nothing lands on disk.

languagesmarkdown.md

≈480 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Markdown Language Prompt Snippet

Key Concepts

  • Heading Hierarchy: # through ###### for document structure, with h1 as the title
  • Front Matter: YAML metadata between --- delimiters at the top of the file
  • Fenced Code Blocks: Triple backticks with optional language identifier for syntax highlighting
  • Reference-Style Links: [text][ref] with [ref]: url definitions, useful for repeated URLs
  • Tables: Pipe-delimited columns with alignment markers (:---, :---:, ---:)
  • Admonitions: Blockquote-based callouts (> **Note:**, > **Warning:**) for emphasis
  • Task Lists: - [ ] and - [x] for checklists in issue trackers and READMEs
  • HTML Embedding: Raw HTML allowed inline for features Markdown does not support natively

Notable File Patterns

  • README.md — Project overview and entry point for new contributors (high-value)
  • CONTRIBUTING.md — Contribution guidelines, code style, PR process
  • CHANGELOG.md — Version history following Keep a Changelog or similar format
  • docs/**/*.md — Documentation directory with guides, API references, tutorials
  • *.md in source directories — Co-located documentation for modules or packages
  • ADR-*.md or adr/*.md — Architecture Decision Records

Edge Patterns

  • Markdown files documents the code components they describe or reference
  • Links to other .md files create related edges between documentation nodes
  • Code block references mentioning file paths may imply documents edges to those files
  • README files in subdirectories typically documents the module at that path

Summary Style

"Project overview documentation with N sections covering installation, usage, and API reference." "Architecture Decision Record documenting the choice of [technology] for [purpose]." "Contributing guide with code style rules, testing requirements, and pull request process."

Source: SKILL.md on GitHub

No alerts19d3 checks · Risk SAFE
  • Gen Agent Trust Hub19d

    This skill is a sophisticated codebase analysis tool used to generate interactive architectural knowledge graphs. It leverages a series of deterministic Node.js and Python scripts alongside AI sub-agents to perform tasks like file scanning, import resolution, and relationship mapping. The skill incorporates strong security practices by explicitly instructing its agents to treat project data (such as READMEs and manifests) as untrusted and ignore any prompt-like directives within them. All script behaviors, including shell command execution and local dependency builds, are consistent with its primary purpose and follow least-privilege principles.

  • Socket19d

    No alerts

  • Snyk19d

    Risk: LOW · No issues

Signed by skilld at a84b3db. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 4 days ago.

Activeupdated 4 weeks ago
Other metadata
argument-hint
[
  "[path] [--full|--auto-update|--no-auto-update|--review|--language <lang>|--exclude <patterns>]"
]

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