RuView Hardware Setup
ruvnet/RuView
Brings a RuView CSI sensing node online by building ESP32-S3 or ESP32-C6 firmware, flashing the board, provisioning WiFi and checking the serial output.
Firmware reconnaissance for takeover — inventory the MCU, peripherals, RTOS, protocols, OTA, power management, and assess code quality with risk flags.
Install Volt Recon
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace volt-recon --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/volt-recon .claude/skills/volt-recon && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "volt-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-recon into .claude/skills/volt-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volt-recon", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-reconType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace volt-recon --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/volt-recon .agents/skills/volt-recon && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "volt-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-recon into .agents/skills/volt-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volt-recon", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace volt-recon --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/volt-recon .cursor/skills/volt-recon && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "volt-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-recon into .cursor/skills/volt-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volt-recon", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path plugins/ai-agency/tonone/skills/volt-recon--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace volt-recon --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/volt-recon .gemini/skills/volt-recon && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "volt-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-recon into .gemini/skills/volt-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volt-recon", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace volt-reconInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/volt-recon .github/skills/volt-recon && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "volt-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-recon into .github/skills/volt-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volt-recon", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace volt-recon --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/volt-recon .opencode/skills/volt-recon && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "volt-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/volt-recon into .opencode/skills/volt-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "volt-recon", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
volt-recon- GitHub stars
- 2.8k
- Token cost
- ~1k tokens
- SKILL.md length
- 374 words
- Files
- 2
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Firmware reconnaissance for takeover — inventory the MCU, peripherals, RTOS, protocols, OTA, power management, and assess code quality with risk flags.
- Works in 5 steps: Detect Environment → Inventory Hardware and Platform → Inventory Software Architecture → …
- Asked to understand this firmware
- SKILL.md covers Steps and Delivery
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Volt Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).
It sits in Development, covering Embedded systems and Code quality. It works with ESP32. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Asked to understand this firmware
- Device inventory
- Embedded assessment
Example prompts
- “understand this firmware”
- “device inventory”
- “embedded assessment”
- “/volt-recon”
Requirements
- Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashGlobGrepWebFetchWebSearchAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Volt Recon loads about 1k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 374 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 374 words, ~1,033 tokens.
Download SKILL.mdSave it as
.claude/skills/volt-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- volt-recon
- description
- 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".
- allowed-tools
- Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
- version
- 0.6.4
- author
- tonone-ai <hello@tonone.ai>
- license
- MIT
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.ymlorprj.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
Identify and document:
- RTOS — FreeRTOS, Zephyr, ThreadX, bare-metal super loop, or MicroPython
- Task structure — what tasks exist, priorities, stack sizes
- Communication protocols — WiFi, BLE, MQTT, LoRa, Zigbee, HTTP (scan for client/server code)
- OTA mechanism — dual partition, MCUboot, custom, or none
- Power management — sleep modes used, wake sources, power state machine, or none
- Build system — PlatformIO, CMake, Make, IDE-specific
Show full SKILL.md (162 more words)Show less
Step 3: Assess Code Quality
Evaluate against embedded best practices:
- HAL abstraction — is hardware access abstracted, or is code tied to one board?
- Watchdog usage — is there a watchdog timer? Is it fed properly?
- Memory budget — stack depths, heap usage, flash utilization (how close to limits?)
- Interrupt hygiene — are ISRs short? Is work deferred to tasks?
- Error handling — are peripheral failures handled, or silently ignored?
- Security — signed firmware updates? Secure boot? Encrypted storage? Hardcoded credentials?
- Debug artifacts — serial prints left in production? Debug flags enabled?
- Dynamic allocation — malloc in ISRs or tight loops?
Step 4: Present Assessment
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## Firmware Reconnaissance
**MCU:** [chip] | **RTOS:** [name/none] | **Build:** [system]
**Flash:** [used/total] | **RAM:** [used/total]
### Hardware
| Peripheral | Bus | Device | Status |
|-----------|-----|--------|--------|
| [I2C0] | I2C | [sensor] | [OK/issue] |
| ... | | | |
### Software Architecture
- **Tasks:** [N] RTOS tasks ([list with priorities])
- **Comms:** [protocols in use]
- **OTA:** [mechanism or NONE]
- **Power:** [sleep states or NONE]
### Risk Flags
- [RED] [critical issue — e.g., no watchdog, no OTA rollback, hardcoded credentials]
- [YELLOW] [concern — e.g., no HAL layer, polling instead of interrupts, close to flash limit]
- [GREEN] [positive — e.g., good error handling, clean task structure]
### Recommendations
1. [highest priority fix]
2. [second priority]
3. [third priority]Keep the assessment factual. Flag risks, don't editorialize.
Delivery
If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/volt-recon of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- .claude-plugin/plugin.json
Open the folder on GitHubat commit cfae287
Compare with similar skills
Volt Recon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Volt Recon this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | Automated safety check: Notes | MIT | |
| RuView Hardware Setupruvnet/RuView | 97k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 117 | 1 repos | ~3.8k | Automated safety check: Pass | GPL-3.0 | |
| RuView mmWave Radar Setupruvnet/RuView | 97k | — | ~907 | Automated safety check: Notes | MIT | |
| Embedded DebugFastLED/FastLED | 7.5k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Auto EmbeddedDunCanYounG-1/MICU-auto-embedded | 253 | — | ~1.6k | Automated safety check: Pass | CC-BY-NC-4.0 |
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Questions about Volt Recon
What does Volt Recon do?
Firmware reconnaissance for takeover — inventory the MCU, peripherals, RTOS, protocols, OTA, power management, and assess code quality with risk flags. Volt Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Firmware reconnaissance for takeover — inventory the MCU, peripherals, RTOS, protocols, OTA, power management, and assess code quality with risk flags.
When should I use Volt Recon?
Volt Recon fits situations like: asked to understand this firmware; device inventory; embedded assessment.
How do I install Volt Recon in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/volt-recon in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/volt-recon in your project. Claude Code loads it when a task matches its description.
How do I install Volt Recon in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/volt-recon in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/volt-recon in your project. Codex loads it when a task matches its description.
Can I use Volt Recon in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill volt-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/volt-recon, .gemini/skills/volt-recon, .github/skills/volt-recon and .opencode/skills/volt-recon in your project.
What does Volt Recon need to run?
SKILL.md names no scripts, command-line tools or credentials: Volt Recon is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.
Does Volt Recon access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Volt Recon safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Volt Recon use?
Volt Recon is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Volt Recon use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Volt Recon?
Skills that share tags, products or a category with Volt Recon: RuView Hardware Setup (ruvnet/RuView, 97k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 117 stars), RuView mmWave Radar Setup (ruvnet/RuView, 97k stars) and Embedded Debug (FastLED/FastLED, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Volt Recon?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.