entity-resolution-audit
Analyzes brand, organization, and product names across the website to detect entity ambiguity or inconsistent identity signals.
Skill by mahinigam
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/mahinigam-entity-resolution-audit
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: design, security
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/entity-resolution-audit
What's inside
- Skill name
entity-resolution-audit- Description
- Analyzes brand, organization, and product names across the website to detect entity ambiguity or inconsistent identity signals.
- License
- MIT
- Instructions
- 18 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (2)
- SKILL.md
- audit.py · scripts/
SKILL.md (first lines)
# Entity Resolution Audit ## When to use Use this skill when you want to ensure the website presents a clear, unambiguous entity identity to AI systems. Ambiguous identities cause AI assistants to confuse the brand with competitors or general terms. ## Inputs - `AuditContext` containing sampled pages and structured data. ## Procedure 1. Extract organization names, brand names, and aliases from visible text and JSON-LD structured data. 2. Apply fallback extraction (e.g., checking short `<title>` strings and logo image `alt` text) if primary signals are missing. Note: `<h1>` tags are explicitly avoided as they are often marketing taglines. 3. Check if multiple distinct identities or conflicting brand signals are used interchangeably without strong canonical linking. 4. Generate findings if entity identity signals are weak, highly ambiguous, or contradictory across the page. ## Output Appends Findings to the `AuditContext`.
From mahinigam/skill-marketplace, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 9, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mahinigam/skill-marketplace
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
entity-resolution-audit skill. Agent Mart. https://agentmart.dev/skills/mahinigam-entity-resolution-audit (last updated 2026-10-24)