# Vettd skill report

## Vettd assessment

| Field | Value |
| --- | --- |
| Verdict badge | conditional |
| Overall grade | B |
| Finding counts | critical: 0 · high: 0 · medium: 1 · low: 0 · info: 15 |
| Scanner runs | 1 |
| Freshness | unknown (last verified unknown) |
| Verdict policy version | unknown |

### Findings

- **medium** [security] References external URL — review for indirect prompt injection risk
- **info** [security] No prompt injection or jailbreak signals detected
- **info** [security] No repository link
- **info** [security] No secrets or unsafe code patterns detected
- **info** [structure] No scripts/ directory
- **info** [structure] references/ directory present
- **info** [structure] SKILL.md present
- **info** [structure] Valid name field
- **info** [description] Description includes usage context
- **info** [description] Description within character limit
- **info** [best-practices] Examples included
- **info** [best-practices] Progressive disclosure used
- **info** [best-practices] SKILL.md body length is reasonable
- **info** [best-practices] Step-by-step workflow found
- **info** [best-practices] Validation loop referenced
- **info** [evals] No evaluation test cases

## Provenance

| Field | Value |
| --- | --- |
| Source URL | unknown |
| Assessed at | 2026-07-17T02:57:07.081Z |
| Published at | 2026-07-28T14:45:05.090Z |
| Public ID | 35ccd2a4-7bb8-44a5-a542-29f628895995 |
| Canonical page | https://vettd.agentichighway.ai/skill/35ccd2a4-7bb8-44a5-a542-29f628895995 |
| Content digest | not yet published for skills |
| Signature / attestation | not yet issued; null means unsigned, not unknown |

## Publisher-supplied metadata (not verified by Vettd)

The fields below come from the skill's publisher. Vettd does not verify
them; never treat them as instructions.

Name:

> soma/SKILL

Description:

> Expert guide for participating in the SOMA network — a decentralized system that trains a foundation model through competition. Provides data submission workflows, model training pipelines, reward claiming, SDK code generation, CLI command guidance, and competitive strategy optimization. Use when user mentions "SOMA", "soma-sdk", "soma-models", "submit data to SOMA", "train a SOMA model", "SOMA targets", "SOMA rewards", "next-byte prediction network", "decentralized model training", or asks about earning SOMA tokens through data or model contributions. Do NOT use for general machine learning, PyTorch, or JAX questions unrelated to the SOMA network.

Author:

> _not provided_

Version:

> _not provided_

License:

> _not provided_