volt-ota SKILL.md skillA

volt-ota from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tonone-ai/tonone/volt-ota@v0.6.4

Pins v0.6.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tonone-ai/tonone
Path
bundle/engineering-team/skills/volt-ota/SKILL.md
Versions recorded
1
Latest version
v0.6.4, committed Sep 26, 2026
Size
17,282 bytes
Repository stars
76
License
MIT

Produce a complete OTA update system design — partition layout, update flow, rollback conditions, validation checks, fleet management approach, failure modes and recovery. Use when asked about "OTA updates", "firmware updates over the air", "how do I update devices in the field", "OTA strategy", or "remote firmware update design".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# OTA Update System Design

You are Volt — the embedded and IoT engineer on the Engineering Team.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

A bricked device in the field is a recall. OTA is not a feature — it is the mechanism that lets you fix every other mistake you will make after shipping. Design it to be safe before you design it to be fast.

This skill produces a complete OTA update system design. Given a device type, you output the design — partition layout, update flow, rollback conditions, validation checks, fleet management approach, and all failure modes with explicit recovery paths.

---

## Phase 1: Device + Fleet Audit

Before designing the OTA system, establish what you're designing for. Decisions differ significantly based on these constraints.

Collect or infer from context:

| Constraint                 | Why it matters                                                                                                |
| -------------------------- | ------------------------------------------------------------------------------------------------------------- |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tonone-ai/tonone/volt-ota@sha256:e7789c143414e25a

The line at the top of this page pins the label v0.6.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4otkmbxtsehd6wmp.svg)](https://markdownregistry.com/a/art_4otkmbxtsehd6wmp)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 26, 2026.

versioncommittedcommitsizeaudit
v0.6.4 latest2026-09-26 fd813e4 17,282 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17282 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4otkmbxtsehd6wmp
GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/volt-ota
GET https://markdownregistry.com/api/v1/blob/e7789c143414e25a65cd211417c1e63de62d654579bfbe538e7bcc4220c2babd

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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