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: 83/100
Agent Skill Harness (Stdio)
Career Ops
Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit.
Category: Coding
Runtime: Python 3.10+
License: MIT
At a Glance Technical Specifications
Protocol MCP / Stdio
Runtime Python 3.10+
Client Support Claude / Cursor
Execution Local Subprocess
License MIT
Popularity 83/100
Security Allowlist Scoped
Status Verified Clean
01 // How It Works & Runtime Architecture
By leveraging Python SDK / OpenAI API, the application isolates runtime dependencies while maintaining low-latency execution traces across multi-step LLM operations.
Deterministic Execution Pipeline Local Stdio Protocol
AI Client (Claude / Cursor)
→
Career Ops 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
Python 3.10+ 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": {
"career-ops": {
"command": "python",
"args": [
"-m",
"career_ops"
]
}
}
}
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 career-ops-hq/career-ops from GitHub
- 2
Install dependencies with pip install -r requirements.txt (or uv sync)
- 3
Copy .env.example to .env and add your API keys
- 4
Run the skill server and connect your AI client via stdio or HTTP
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 Career Ops and how does it empower AI agents?
Career Ops is an open-source coding capability designed for AI clients and autonomous agents. Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit.
How do I install and configure Career Ops?
Follow the step-by-step installation: 1) Verify your runtime (Python 3.10+), 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 Career Ops?
Career Ops 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 Career Ops enforce?
Career Ops 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 Career Ops free and open source?
Yes, Career Ops is published under the MIT open-source license. You can inspect the source code and contribute on GitHub at https://github.com/career-ops-hq/career-ops.
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