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
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
Use cases: data
Reviews
Write a reviewNo 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.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 11, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/AAX10/Adobe-Round-3
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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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)