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audit-orchestrator

The main entrypoint for the AI Readiness Intelligence Engine.

Skill by mahinigam

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/mahinigam-audit-orchestrator

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

The main entrypoint for the AI Readiness Intelligence Engine. Coordinates the execution of all other audit skills, merges findings, correlates root causes, scores severity, and generates the final reports.

Use cases: security

Reviews

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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/audit-orchestrator

What's inside

Skill name
audit-orchestrator
Description
The main entrypoint for the AI Readiness Intelligence Engine. Coordinates the execution of all other audit skills, merges findings, correlates root causes, scores severity, and generates the final reports.
License
MIT
Instructions
21 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
  • orchestrate.py · scripts/

SKILL.md (first lines)

# Audit Orchestrator

## When to use
Use this skill as the single entrypoint to run a comprehensive AI readiness audit on a target website.

## Inputs
- `target_url`: The website URL to audit.

## Procedure
1. Initialize the `AuditContext` and `SiteCrawler`.
2. Discover pages using the `PageImportance` heuristic model (weighing depth, inbound links, sitemap presence, and commercial relevance).
3. Fetch HTML for discovered pages and store in cache.
4. Dynamically delegate to specialized audit skills sequentially based on `marketplace.json` manifest.
5. Fuse raw findings using multi-signal correlation (Jaccard similarity on mechanisms/pages + category/action matches) to group symptoms into root causes via connected-component clustering.
6. Calculate the AI Readiness Score across Discoverability, Semantics, and Engagement dimensions.
7. Generate the final machine-readable JSON report and human-readable Markdown report.

## Output
Emits the final JSON report according to the required schema, and a Markdown report.

From mahinigam/skill-marketplace, MIT.

More from mahinigam/skill-marketplace

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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

More from mahinigam

Cite this page

audit-orchestrator skill. Agent Mart. https://agentmart.dev/skills/mahinigam-audit-orchestrator (last updated 2026-10-24)