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 Kasempiternal/axiom-v2 --skill ax-energy-refgit clone --depth 1 https://github.com/Kasempiternal/axiom-v2Wrote 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/kasempiternal/axiom-v2/ax-energy-ref)<a href="https://agentmods.dev/skills/kasempiternal/axiom-v2/ax-energy-ref"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-energy-ref/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/kasempiternal/axiom-v2/ax-energy-ref"><img src="https://agentmods.dev/badge/skills/kasempiternal/axiom-v2/ax-energy-ref.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 | $0.00039 | $0.04651 |
| Opus 5 | $0.00019 | $0.02325 |
| Sonnet 5 | $0.00008 | $0.00930 |
| Haiku 4.5 | $0.00004 | $0.00465 |
Grade A, and why
ax-energy-ref 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 11d 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 — 660 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Energy API Reference
Quick Patterns
Timer APIs
// NSTimer with tolerance
let timer = Timer.scheduledTimer(withTimeInterval: 1.0, repeats: true) { [weak self] _ in
self?.updateUI()
}
timer.tolerance = 0.1 // 10% minimum
// Combine Timer
Timer.publish(every: 1.0, tolerance: 0.1, on: .main, in: .default)
.autoconnect()
.sink { [weak self] _ in self?.refresh() }
.store(in: &cancellables)
// DispatchSource timer with leeway
let timer = DispatchSource.makeTimerSource(queue: queue)
timer.schedule(deadline: .now(), repeating: .seconds(1), leeway: .milliseconds(100))
timer.setEventHandler { [weak self] in self?.performWork() }
timer.resume()
URLSession Energy-Conscious Config
let config = URLSessionConfiguration.default
config.waitsForConnectivity = true
config.allowsExpensiveNetworkAccess = false
config.allowsConstrainedNetworkAccess = false
let session = URLSession(configuration: config)
Discretionary Background Download
let config = URLSessionConfiguration.background(withIdentifier: "com.app.downloads")
config.isDiscretionary = true
config.sessionSendsLaunchEvents = true
let session = URLSession(configuration: config, delegate: self, delegateQueue: nil)
let task = session.downloadTask(with: url)
task.earliestBeginDate = Date(timeIntervalSinceNow: 2 * 60 * 60)
task.countOfBytesClientExpectsToSend = 200
task.countOfBytesClientExpectsToReceive = 500_000
task.resume()
Location Accuracy Options
| Constant | Accuracy | Battery Impact | Use Case |
|---|---|---|---|
kCLLocationAccuracyBestForNavigation |
~1m | Extreme | Turn-by-turn only |
kCLLocationAccuracyBest |
~10m | Very High | Fitness tracking |
kCLLocationAccuracyNearestTenMeters |
~10m | High | Precise positioning |
kCLLocationAccuracyHundredMeters |
~100m | Medium | Store locators |
kCLLocationAccuracyKilometer |
~1km | Low | Weather, general |
kCLLocationAccuracyThreeKilometers |
~3km | Very Low | Regional content |
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.
- 11d ago First seen · 660 lines · 39 tokens per session scan A d813c3c53632
ax-energy-ref is a skill published in the GitHub repository Kasempiternal/axiom-v2 (4 stars, last pushed 6mo ago), licensed MIT. It adds 39 tokens to every session and 4,651 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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