ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Coding MIT
Coding MIT ●
Score: 54/100
Agent Skill Harness (Stdio)
Agentic SEO Skill
An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 16 specialized sub-skills, 10 specialist agents, and 88 optional utility scripts used as evidence collectors.
At a Glance Technical Specifications
Protocol MCP / Stdio
Runtime Node.js 18+
Client Support Claude / Cursor
Execution Local Subprocess
License MIT
Popularity 54/100
Security Allowlist Scoped
Status Verified Clean
01 // How It Works & Runtime Architecture
Integrates directly into AI code assistants and developer CLI harnesses. It exposes deterministic code analysis tools, inspects local repository trees, and provides isolated sandboxing so coding agents can inspect AST nodes, execute tests, and propose accurate patches without side effects.
Deterministic Execution Pipeline Local Stdio Protocol
AI Client (Claude / Cursor)
→
Agentic SEO Skill Server
→
Scoped Local Tools
→
Sanitized Agent Memory
02 // Real-World Workflows & Use Cases
01
Deterministic AST code analysis, symbol indexing, and cross-file reference discovery
02
Autonomous test generation, test execution feedback loops, and automated patch creation
03
Safe repository refactoring and automated codebase modernization without context leakage
03 // Prerequisites & Compatibility
✓
Runtime Environment
Node.js 18+ installed and available in system PATH
✓
Compatible Client
Claude Desktop, Cursor, Windsurf, Claude Code CLI, or OpenCode
✓
Directory Permissions
Explicit filesystem read/write access to designated directories
✓
License Compliance
Verified permissive MIT open-source license
04 // Client Configuration (claude_desktop_config.json)
{
"mcpServers": {
"agentic-seo-skill": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-agentic-seo-skill"
]
}
}
}
Paste into your client configuration file (e.g. ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%/Claude/claude_desktop_config.json on Windows).
05 // Step-by-Step Installation
Verified Process- 1
Clone the repository: git clone https://github.com/Bhanunamikaze/Agentic-SEO-Skill.git
- 2
Install dependencies in a virtual environment: python3 -m venv venv && source venv/bin/activate && pip install -r requirements.txt (or npm install)
- 3
Configure local environment credentials in a '.env' file following the provided example
- 4
Start the local execution service and connect your agent workflow via stdio or HTTP API endpoint
06 // Execution Boundaries & Security Safeguards
● Context Protection
Keeps heavy parsing and raw file structures external to the LLM. Only sanitized excerpts and structured returns are injected into agent memory turns.
● Directory Allowlisting
Enforce explicit directory allowlists and permission scopes in client configuration to ensure autonomous tool calls never breach system boundaries.
● Process Isolation
Executes in an isolated local child process communicating strictly over JSON-RPC via stdio with explicit process timeouts.
07 // Frequently Asked Questions
FAQ Schema IncludedWhat is Agentic SEO Skill and how does it empower AI agents?
Agentic SEO Skill is an open-source coding capability designed for AI clients and autonomous agents. An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 16 specialized sub-skills, 10 specialist agents, and 88 optional utility scripts used as evidence collectors.
How do I install and configure Agentic SEO Skill?
Follow the step-by-step installation: 1) Verify your runtime (Node.js 18+), 2) Add the configuration snippet into your AI client settings (e.g. claude_desktop_config.json), 3) Restart the client to initialize tool execution.
Which AI clients and developer harnesses support Agentic SEO Skill?
Agentic SEO Skill is compatible with all AI tools supporting tool-calling and the Model Context Protocol (MCP), including Claude Desktop, Cursor, Claude Code CLI, Windsurf, OpenCode, and custom agent runtimes.
What security boundaries and sandboxing safeguards does Agentic SEO Skill enforce?
Agentic SEO Skill executes locally with strict directory allowlists and permission scopes. Heavy parsing and raw file structures stay external to the LLM context window to prevent memory saturation and unauthorized access.
Is Agentic SEO Skill free and open source?
Yes, Agentic SEO Skill is published under the MIT open-source license. You can inspect the source code and contribute on GitHub at https://github.com/Bhanunamikaze/Agentic-SEO-Skill.
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