Roadmap

V1 — Live today

Everything below is available now in the POSIX implementation 0.4.0 unless a platform row says otherwise:

Feature	Details
Candidate CLI (macOS / Linux)	`init`, `import aijs`, `scan`, `validate`, `publish`, `preview`, `resolve`, `info`
Candidate CLI (Windows)	PowerShell 0.1.0 / `windows-subset-v1`: `init`, `init --ai`, `validate`, `publish`, `info`, `help`, `version`
Employer CLI	`org init/verify/publish`, `role create/validate` — recruiter cards and structured job postings
JSON Schemas	Validation schemas for all four card files
AI-powered scan	Generate a full Skill Card from your documents using your local AI provider
ai-job-search import	Convert an ai-job-search fork into a Skill Card, offline and deterministic (`import aijs`)
GitHub publishing	Publish your card to your own GitHub repo with one command
Deterministic scoring	`scoutica evaluate` scores fit between a candidate and a role — agent-side, no server
Registry search	`scoutica jobs search` finds candidates or roles in the registry
Agent-to-agent network	`send` / `deliver` / `inbox` / `reply` / `register` — server-less messaging over a Git-native transport (Nostr + webhook planned)
Local identity	`scoutica identity init` — a local Nostr (secp256k1) keypair; the private key never leaves your machine
Rules of Engagement	Candidates set salary floors, remote policies, and blocked industries
Three-zone privacy	Zone 1 (public), Zone 2 (auth required), Zone 3 (candidate approval)
EU AI Act compliance	No demographic fields; human-in-the-loop by design

V2+ — Roadmap

Decentralized federated registries

Phase 1 uses a GitHub-based central registry. Phase 2 replaces this with a federated network where anyone can run a registry node. Cards registered on any node become discoverable across the entire network.

`npx skills find` command

A zero-install discovery command for employers and agents:

npx skills find "Senior AI Engineer"

This queries the federated registry and returns matching cards ranked by fit score, without requiring any setup.

Micropayments (~$0.05 per Zone 2 access)

When an employer’s agent unlocks Zone 2 (full profile), a ~$0.05 micro-fee is paid directly to the candidate. This fee isn’t just about monetization — it acts as a hard economic barrier against recruiter spam and mass data scraping. If it costs money to view a profile, recruiters only unlock candidates they are serious about matching with. V1 uses Stripe credits; V2 moves to on-chain micro-fees.

Blockchain identity — Soulbound Tokens on Base L2

Verification Level 4 (blockchain-verified) will be implemented using Soulbound Tokens (SBTs) on Base L2, with Polygon as a fallback. SBTs are non-transferable on-chain tokens that act as cryptographic endorsements of a candidate’s verified skills.

`$SKILL` token

The $SKILL token is the native currency of the Scoutica Protocol economy. It powers micro-fees, verifier payments, and registry subscriptions. Token mechanics and launch timeline are under active design.

On-chain micro-fees

V3 migrates from Stripe credits to fully on-chain micro-fee settlement using $SKILL. This removes intermediaries and makes payments instant, transparent, and auditable.

Key decisions

Decision	Choice	Status
Format	Pure Markdown + JSON + YAML — no runtime needed	✅ Live
Distribution	GitHub (Phase 1) → Federated registries (Phase 2)	✅ Phase 1 live
Matching	Agent-side (decentralized — each agent scores locally)	✅ Live
Identity	Soulbound Tokens on Base L2 (primary), Polygon (fallback)	🔜 Roadmap
Payment	Stripe credits (V1) → On-chain micro-fees (V2) → `$SKILL` token (V3)	🔜 Roadmap
Compliance	EU AI Act High-Risk compliant by design	✅ Live
Anti-bias	No demographic fields in schema	✅ Live

Target cost model

Channel	Cost per hire
LinkedIn Recruiter	~$10,000/year
Recruiting agency	$15,000–$30,000
Scoutica Protocol	~$4