> ## Documentation Index
> Fetch the complete documentation index at: https://docs.phyi.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to Phylax

> A decentralized attestation network for the AI software supply chain.

Phylax is a Bittensor subnet that vets the AI software supply chain. It takes
untrusted artifacts, agent skills, MCP servers, packages, and source repositories,
and produces a Signed Skill and Supply chain Safety Attestation (SSSA): a portable,
cryptographically signed verdict, written on chain and independently verifiable by
anyone.

Miners compete by building security agents and submitting them to the network as
**hash-pinned code**. Validators execute that code in their own hardened,
instrumented sandboxes against each round's shared task set, score it against
curated ground truth behind a validator-generated liveness check, and reconcile
their judgments through stake-weighted consensus. Because the network holds and
runs the submitted code, the agent that earns a ranking is byte for byte the agent
the marketplace serves.

## Setup Guides

<CardGroup cols={2}>
  <Card title="Miner Guide" icon="pickaxe" href="/guides/miner">
    Pick a track, register on netuid 76, build an agent, and submit it as
    hash-pinned code the network runs for you.
  </Card>

  <Card title="Validator Guide" icon="shield-check" href="/guides/validator">
    Register, stake for a permit, execute the round's agents in a jailed sandbox,
    score against ground truth, and set graduated weights.
  </Card>
</CardGroup>

## Learn the Subnet

<CardGroup cols={2}>
  <Card title="How Phylax Works" icon="compass" href="/get-started/introduction">
    The submit-and-execute model, the four tracks, and the two roles.
  </Card>

  <Card title="Incentive Mechanism" icon="coins" href="/get-started/incentive-mechanism">
    The quality threshold, graduated weights, stake-weighted consensus, and the
    95/5 emission pools.
  </Card>

  <Card title="The Round Model" icon="clock" href="/system/rounds">
    Server-scheduled rounds, the agent freeze, and the task draw.
  </Card>

  <Card title="Scoring" icon="chart-line" href="/core/scoring">
    Liveness gated runs, repetition consensus, and the MCC and F2 metrics.
  </Card>
</CardGroup>

## The problem

Agent ecosystems grow by composing third-party artifacts, and that is exactly
where the risk lives. A malicious skill, MCP server, or package can steal secrets,
exfiltrate data, establish persistence, or hijack an agent through prompt
injection. An empirical scan of 9,350 skill bundles collected from public
registries during the research phase that preceded this work measured the threat
directly:

| Classification | Rate  | Characterisation                       |
| -------------- | ----- | -------------------------------------- |
| Safe           | 77.0% | No security findings                   |
| Warning        | 4.5%  | Potential risk requiring manual review |
| Dangerous      | 18.5% | Confirmed active threat                |

Static analysis cannot close this gap because it never observes runtime behavior,
and a scanner built on a language model alone is itself defeated by prompt
injection. Phylax executes the artifact, observes what it does, and signs the
result, then writes it on chain so anyone can verify it without trusting any
single party.
