Agentic Marketing Auditor

Audit repositories for 2026 Marketing readiness (GEO & A2A). This skill analyzes your README and documentation to ensure your AI products are discoverable an...

Security Scan

The skill's code and instructions match its marketing-audit purpose: it only reads repo files (llms.txt and README.md) and makes recommendations, with no network calls, secrets, or unusual installs.

Purpose & Capability

Name, description, SKILL.md, and auditor.py are consistent: the auditor checks for llms.txt and README.md content to evaluate 'GEO' and 'A2A' readiness. There are no declared env vars, binaries, or config paths that don't belong to this purpose.

Instruction Scope

SKILL.md instructs running the auditor against a local repository path. The included auditor.py only checks for the presence of llms.txt and README.md and reads README.md content; it does not access other system paths, environment variables, or external endpoints.

Install Mechanism

No install spec or third-party downloads are present; the skill is instruction-only (with a small local Python script). Nothing is written to disk beyond reading the supplied repo path.

Credentials

The skill declares no environment variables or credentials and the code does not read any. No disproportionate credential or config access is requested.

Persistence & Privilege

always:false and default autonomous invocation are in place. While autonomous invocation is allowed (platform default), the skill's scope and capabilities are minimal and do not require persistent privileges or cross-skill configuration changes.

Assessment

This skill appears coherent and low-risk: it only reads files inside the repo path you provide (llms.txt and README.md) and prints recommendations. Before running, ensure you point it at a repository you trust (it will read files there). If you don't want the agent to run skills autonomously, consider disabling autonomous invocation for this skill or running it manually. If you need extra assurance, inspect auditor.py locally (it's short and readable) before executing.

In 2026, user acquisition is driven by AI agents. If your product is not discoverable by LLMs, it doesn't exist. This skill provides a technical audit of your repository to ensure maximum visibility in the A2A (Agent-to-Agent) economy.

Features

• GEO Analysis: Checks for the presence and quality of llms.txt.
• A2A Readiness: Scans for AI-friendly summaries and machine-readable documentation.
• Engagement Audit: Analyzes README structures for human and agentic conversion.

Usage

Run the auditor against any local repository path:

npx openclaw skill run agentic-marketing-auditor -- /path/to/your/repo

Architect's Note

Part of the Sovereign Infrastructure initiative by System Architect Zero. Focus on technical authority.