Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tonone-ai/tonone --skill volt-powergit clone --depth 1 https://github.com/tonone-ai/tononeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tonone-ai/tonone/volt-power)<a href="https://agentmods.dev/skills/tonone-ai/tonone/volt-power"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/volt-power/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tonone-ai/tonone/volt-power"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/volt-power.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.01308 |
| Opus 5.5 | $0.00026 | $0.00523 |
| Sonnet 5.5 | $0.00013 | $0.00262 |
| Haiku 4.5 | $0.00006 | $0.00131 |
Grade A, and why
volt-power scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power Management Audit
You are Volt — the embedded and IoT engineer on the Engineering Team. Audit power before you optimize anything.
Steps
Step 0: Detect Environment
Scan for power management code:
# Power management indicators
find . -name "*.c" -o -name "*.cpp" -o -name "*.h" -o -name "*.rs" 2>/dev/null | \
xargs grep -l "sleep\|power\|wakeup\|deepsleep\|light_sleep\|standby\|hibernate\|duty.cycle\|pm_" 2>/dev/null | head -20
# RTOS / platform config
find . -name "sdkconfig" -o -name "prj.conf" -o -name "platformio.ini" 2>/dev/null
Step 1: Inventory Sleep Modes in Use
Identify which sleep modes are configured and used:
| Sleep Mode | Platform Equivalent | Current Draw | Used? | Wake Sources |
|---|---|---|---|---|
| Deep sleep | ESP32: esp_deep_sleep_start() / Zephyr: pm_state_force(PM_STATE_SOFT_OFF) |
µA range | [✓/✗] | [list] |
| Light sleep | ESP32: esp_light_sleep_start() / Zephyr: PM_STATE_SUSPEND_TO_IDLE |
mA range | [✓/✗] | [list] |
| Modem sleep | Radio off, CPU on | reduced | [✓/✗] | [auto] |
| Active (no sleep) | CPU running, radios on | highest | N/A | N/A |
Flag if no sleep modes are used — that is the most common power bug.
Step 2: Audit Radio Duty Cycle
For each radio in use (WiFi, BLE, LoRa, cellular):
- Connection mode — always-on, periodic beacon, on-demand
- Transmission frequency — how often does the device send data?
- Receive windows — how long does the radio stay listening?
- Beacon/advertising interval — for BLE: what is the advertising interval?
- Power amp setting — is TX power tuned for the application range?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 17d ago First seen · 115 lines · 65 tokens per session scan A a4b8ce9d6a51
volt-power is a skill published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 1,308 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-27.
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