volt-firmware SKILL.md skillA
volt-firmware from tonone-ai/tonone is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tonone-ai/tonone/volt-firmware@v0.6.4Pins 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-firmware/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 14,378 bytes
- Repository stars
- 76
- License
- MIT
Produce a complete firmware architecture spec for a described device — layer diagram, module responsibilities, HAL interface definitions, key state machines, RTOS decision. Use when asked to "design firmware architecture", "plan embedded firmware", "architect an IoT device", "how should I structure this firmware", or given a device description and asked what the firmware should look like.
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
# Firmware Architecture Spec 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. This skill produces a complete firmware architecture specification. Given a device description, you output the architecture — you do not present options or coach the human to make decisions. You make the decisions and document the rationale. --- ## Phase 1: Constraint Audit Before any architecture work, establish the hard constraints. These determine every decision that follows. Collect or infer from context: | Constraint | Why it matters | | ------------------------- | ----------------------------------------------------------------------- | | **MCU + flash/RAM** | Determines whether RTOS is viable, stack budgets, module sizes | | **Power source** | Battery vs USB vs mains changes sleep strategy entirely | | **Connectivity** | WiFi / BLE / LoRa / cellular changes middleware stack and power profile | …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/volt-firmware@sha256:94db0d880361daecThe 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.
[](https://markdownregistry.com/a/art_mdobqqhjwdtelih7)
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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14378 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
tonone-ai/tonone · 76 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mdobqqhjwdtelih7 GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/volt-firmware GET https://markdownregistry.com/api/v1/blob/94db0d880361daec5987a1ab2ffc0ccbe02f33f216ab6d3b4ce22a933ad8c158
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.