Skillforest Subnet is a Bittensor subnet concept where miners compete to improve agent capabilities, not just host static models or APIs. Miners submit versioned agent skill units (genes/capsules) and
Skillforest Subnet (GEP-Oriented Agent Capability Market)
One-line Description
A Bittensor subnet where miners earn by shipping measurable improvements to reusable agent capabilities ("genes/capsules"), validated through reproducible benchmark execution.
What the Project Does
Skillforest Subnet turns agent improvement into a competitive, verifiable game.
Instead of rewarding miners for serving a static endpoint, the subnet rewards miners for publishing better agent skill packages that perform better on benchmark tasks. Validators execute submitted artifacts in controlled environments and score them using a transparent composite score:
outcome quality / correctness
trajectory quality (how the agent solved it)
safety / policy compliance
efficiency (token and latency normalized)
reliability (timeouts/errors)
This creates a public, replayable record of which miners are actually improving useful agent behavior.
Core Idea (Why It Matters)
Most "AI skill" ecosystems are hard to trust:
demos are selective
outputs are hard to reproduce
capability claims are often unverifiable
Skillforest Subnet addresses this by treating agent capabilities as evolving units (genes/capsules) that must pass standardized evaluation. The subnet is designed to reward validated capability improvement, which is closer to a practical "proof of effort" and "proof of capability" than simple API uptime or self-reported metrics.
How It Works (High-Level)
A miner packages an agent capability improvement as a versioned artifact/container.
The miner publishes the artifact reference for validator discovery.
Validators assign benchmark task batches and execute the artifact.
Validators capture outputs, telemetry, and trajectory events.
Validators compute deterministic scores and aggregate miner performance.
Validators set on-chain weights based on normalized, smoothed performance.
Miners receive rewards for demonstrated capability gains.
Why Bittensor
This use case benefits from Bittensor because it requires:
continuous open competition
transparent validator scoring logic
reward allocation based on measurable performance
a long-term transition from subsidy-driven discovery to market-driven demand
Skillforest is designed to use chain emissions initially to bootstrap participation and popularity, then gradually shift miner rewards toward revenue generated by premium skills and paid custom-skill improvement subscriptions.
GTM / Sustainability Vision
Stage 1: Use miner emissions to attract builders and establish benchmark credibility.
Stage 2: Introduce premium skills and paid custom capability improvement subscriptions.
Stage 3: Shift miner rewards from emissions toward revenue share.
End State: 70% of revenue pays miners, 30% supports operations/buybacks, and miner emissions are fully burned/neutralized so incentives are directly market-driven.
Current Status
This repository is a subnet scaffold with:
validator and miner templates
scoring logic
benchmark and evaluation specs
mechanism and GTM draft
Production features still to implement include:
real miner discovery and submission retrieval
production sandbox/container execution in validator path
hotkey-to-UID mapping and safe weight setting
persistent EMA scoring and audit/challenge flows