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mechanism-d-entity-graph

Audits the JSON-LD structured data layer to ensure an organization has a connected entity graph, strong external identity anchors, and cross-modal consistency…

Skill by AAX10

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/aax10-mechanism-d-entity-graph

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Audits the JSON-LD structured data layer to ensure an organization has a connected entity graph, strong external identity anchors, and cross-modal consistency for maximum AI discoverability.

Use cases: data

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/mechanism-d-entity-graph

What's inside

Skill name
mechanism-d-entity-graph
Description
Audits the JSON-LD structured data layer to ensure an organization has a connected entity graph, strong external identity anchors, and cross-modal consistency for maximum AI discoverability.
License
MIT
Instructions
18 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • name: "mechanism-d-entity-graph" does not match folder "D-Entity-Resolution"

Files (8)

  • SKILL.md
  • D-001.md · hypotheses/
  • D-002.md · hypotheses/
  • D-003.md · hypotheses/
  • D-004.md · hypotheses/
  • references.md
  • audit_mechanism_d.py · scripts/
  • batch_runner.py · scripts/

SKILL.md (first lines)

# Mechanism D: Entity Resolution & Evidence Integrity

## When to use
Use this skill to determine why an LLM or Search Knowledge Graph is failing to attribute products, articles, or factual claims to the parent brand.

## Inputs
- `url`: The target domain to audit.

## Procedure
1. Execute `python scripts/audit_mechanism_d.py <url>`
2. The script extracts the DOM and JSON-LD AST.
3. Evaluates four core hypotheses (H-D1 to H-D4).
4. Outputs a standard JSON array of findings with evidence and prioritized actions.

## Output
A JSON report matching the marketplace schema containing `findings` and `summary`.

From AAX10/Adobe-Round-3, MIT.

More from AAX10/Adobe-Round-3

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Last commit (this folder)
Sep 11, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

mechanism-d-entity-graph skill. Agent Mart. https://agentmart.dev/skills/aax10-mechanism-d-entity-graph (last updated 2026-10-24)