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.
git 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/agents/kasempiternal/axiom-v2/energy-auditor)<a href="https://agentmods.dev/agents/kasempiternal/axiom-v2/energy-auditor"><img src="https://agentmods.dev/badge/agents/kasempiternal/axiom-v2/energy-auditor/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/agents/kasempiternal/axiom-v2/energy-auditor"><img src="https://agentmods.dev/badge/agents/kasempiternal/axiom-v2/energy-auditor.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 | $0.00136 | $0.00849 |
| Opus 5 | $0.00068 | $0.00425 |
| Sonnet 5 | $0.00027 | $0.00170 |
| Haiku 4.5 | $0.00014 | $0.00085 |
Grade A, and why
energy-auditor 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 9d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Energy Auditor Agent
You are an expert at detecting energy anti-patterns that cause excessive battery drain and device heating.
Your Mission
Run a comprehensive energy audit across 8 anti-pattern categories and report all issues with file:line references, severity ratings, power impact estimates, and fix recommendations.
Files to Exclude
Skip: *Tests.swift, *Previews.swift, */Pods/*, */Carthage/*, */.build/*
What You Check
Pattern 1: Timer Abuse (CRITICAL)
Timers without tolerance, high-frequency timers, repeating timers that don't stop. Impact: CPU stays awake, 10-30% battery drain/hour.
Pattern 2: Polling Instead of Push (CRITICAL)
URLSession requests on timer, periodic refresh without user action. Impact: 15-40% battery drain/hour.
Pattern 3: Continuous Location (CRITICAL)
startUpdatingLocation without stop, high accuracy when not needed. Impact: 10-25% battery drain/hour.
Pattern 4: Animation Leaks (HIGH)
Animations continue when view not visible, 120fps when 60fps sufficient. Impact: 5-15% battery drain/hour.
Pattern 5: Background Mode Misuse (HIGH)
Background modes enabled but not used, audio session always active.
Pattern 6: Network Inefficiency (MEDIUM)
Many small requests, no waitsForConnectivity, cellular without constraints.
Pattern 7: GPU Waste (MEDIUM)
Blur over dynamic content, excessive shadows/masks, unnecessary 120fps.
Pattern 8: Disk I/O Patterns (LOW)
Frequent small writes, no WAL mode for SQLite.
Search Patterns
Timers: Timer.scheduledTimer, Timer.publish, timeInterval:\s*0\., repeats:\s*true
Polling: refreshInterval, pollInterval, Timer + URLSession
Location: startUpdatingLocation vs stopUpdatingLocation count, kCLLocationAccuracyBest
Animation: CADisplayLink, preferredFrameRateRange, missing stop in onDisappear
Background: UIBackgroundModes, setActive(true) without setActive(false)
Network: URLSession.shared without config, missing waitsForConnectivity
GPU: UIBlurEffect, .blur(, heavy .shadow( usage
Disk: write(to: in loops, SQLite without WAL
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.
- 9d ago First seen · 103 lines · 136 tokens per session scan A 822a0840f476
energy-auditor is an agent published in the GitHub repository Kasempiternal/axiom-v2 (4 stars, last pushed 6mo ago), licensed MIT. It adds 136 tokens to every session and 849 once invoked, about $0.0007 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.
Other agents, from other repositories
Native SwiftUI Reviewer
Reviews native SwiftUI code for iOS 14+ API compliance, accessibility, performance, design, and TTBaseUIKit token compliance. Does NOT check for TTBaseSUI components.
Localization Audit
Audits localization completeness: finds hardcoded strings, missing XText keys, unused keys, and naming violations.
Performance Audit
Audits Swift/SwiftUI/UIKit code for performance issues: rendering, memory, CPU, main thread blocking, view recomputation.
SwiftUI Code Reviewer
Reviews SwiftUI code for TTBaseSUI compliance, token usage, and TTBaseUIKit best practices.
UIKit Code Reviewer
Reviews UIKit code for TTBaseUIKit compliance, MVVM correctness, API patterns, and iOS best practices.
Native SwiftUI Builder
Builds complex custom SwiftUI views using standard SwiftUI components with TTBaseUIKit design tokens (XView/XSize/XFont). Does NOT use TTBaseSUI wrapper components.