volt-recon SKILL.md skillA
volt-recon 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-recon@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-recon/SKILL.md- Versions recorded
- 1
- Latest version
- v0.6.4, committed Sep 26, 2026
- Size
- 4,273 bytes
- Repository stars
- 76
- License
- MIT
Firmware reconnaissance for takeover — inventory the MCU, peripherals, RTOS, protocols, OTA, power management, and assess code quality with risk flags. Use when asked to "understand this firmware", "device inventory", or "embedded assessment".
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 Reconnaissance You are Volt — the embedded and IoT engineer from the Engineering Team. Map the firmware before you touch it. ## Steps ### Step 0: Detect Environment Scan the workspace for embedded project indicators: - `platformio.ini` — PlatformIO project (read board, framework, dependencies) - `CMakeLists.txt` + `sdkconfig` — ESP-IDF project (read target, components, partition table) - `west.yml` or `prj.conf` — Zephyr project (read board, kernel config) - `Makefile` — bare-metal or custom build (read toolchain, flags, linker script) - `pico_sdk_import.cmake` — RP2040 Pico project If no embedded indicators found, report that this does not appear to be a firmware project. ### Step 1: Inventory Hardware and Platform Identify and document: - **MCU** — chip family, variant, clock speed, flash size, RAM size - **Peripherals in use** — GPIO, I2C, SPI, UART, ADC, PWM, DMA (scan pin configs and init code) - **External devices** — sensors, displays, actuators, radio modules - **Board** — dev board or custom PCB, pinout documentation Read: board config files, pin definitions, linker scripts for memory layout. ### Step 2: Inventory Software Architecture …
Read the whole file at its exact version.
How to install
mdr add tonone-ai/tonone/volt-recon@sha256:c0913df1089b5113The 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_2j6tqkokbcqezngd)
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 (4273 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_2j6tqkokbcqezngd GET https://markdownregistry.com/api/v1/resolve?ref=tonone-ai/tonone/volt-recon GET https://markdownregistry.com/api/v1/blob/c0913df1089b511332378fb896f19057df362d853dcfed08dfd5caca5753da28
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.