Scoutica Protocol

What is the Scoutica Protocol?

The Scoutica Protocol is an open standard for AI-readable, candidate-owned professional profiles. Instead of uploading your CV to job boards that own your data, you create a Skill Card — a set of structured files that any AI agent can discover, read, and act on.

LinkedIn charges employers $10,000/year for your data. You get $0. The Scoutica Protocol is the alternative: you own your skill card, AI agents do the matching — transparently, verifiably, without bias.

Quick Start

Create your Skill Card in 5 minutes

Install the CLI

Install the Scoutica CLI on macOS, Linux, or Windows

CLI Reference

Full reference for all CLI commands

Developer Guide

Build apps and integrations on the protocol

How it works

1. Candidate installs the CLI or uses any AI assistant
2. Generates their Skill Card (profile + evidence + rules)
3. Pushes their card to their own GitHub repo
4. Employer's AI agent discovers and scores the card locally
5. Match confirmed → candidate shares contact info directly

The protocol has a strict two-part architecture powered by the Traylinx Stargate P2P Mesh:

Part	What	Visibility
The Protocol	Open standard schemas, Stargate P2P transport, decentralized registry API	Public — anyone can clone, fork, build on it
Your Skill Card	Your personal profile, Rules of Engagement, evidence, salary floor	Private by Default — verified by Sentinel
Recruiter Card	An employer’s identity, active job roles, and hiring rules	Public or Gated — scoped by privacy zones

The protocol is the zero-trust network. Your agents are the nodes on it.

Key features

AI-powered generation

Drop your CV, certs, and portfolio in a folder. The CLI extracts them locally and asks your configured AI provider to generate the four card files. A remote-capable provider may receive the full generated prompt and document text.

You own your data

Your card lives in your own GitHub repo. Delete the repo and you disappear from the network entirely. No vendor lock-in.

Rules of Engagement

Set your salary floor, remote policy, and blocked industries. Candidate and Employer agents negotiate autonomously over the P2P mesh based on these hard rules.

Three-zone privacy

Zone 1 (public title), Zone 2 (full profile, auth required), Zone 3 (contact info, your approval only).

EU AI Act compliant

No demographic fields in the schema. Evaluation is based solely on skills, experience, and evidence.

Cross-platform

Full POSIX CLI on macOS/Linux; the Windows PowerShell implementation is the documented windows-subset-v1 command set.

Current status

Feature	Status
CLI install (macOS / Linux / Windows)	✅ Live
AI scan from documents	✅ Live
JSON Schema validation	✅ Live
GitHub publishing	✅ Live
Agent-side deterministic matching	✅ Live
Employer CLI (`org init`, `search`)	✅ Live
P2P Node Messaging (Stargate)	✅ Live
Decentralized registry	🔜 Roadmap
Blockchain identity (SBTs)	🔜 Roadmap
Micropayments ($SKILL token)	🔜 Roadmap

Next steps

Create your Skill Card

Step-by-step guide to creating and publishing your first Skill Card

Explore use cases

Real-world scenarios: candidates, recruiters, and platform integrations

Build an integration

Fetch cards, evaluate candidates, and build ATS integrations

View the roadmap

See what’s coming: decentralized registry, blockchain verification, $SKILL token