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 ComeOnOliver/skillshub --skill axiom-energygit clone --depth 1 https://github.com/ComeOnOliver/skillshubWrote 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/comeonoliver/skillshub/axiom-energy)<a href="https://agentmods.dev/skills/comeonoliver/skillshub/axiom-energy"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-energy/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/comeonoliver/skillshub/axiom-energy"><img src="https://agentmods.dev/badge/skills/comeonoliver/skillshub/axiom-energy.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 | $0.00052 | $0.06577 |
| Opus 5 | $0.00026 | $0.03289 |
| Sonnet 5 | $0.00010 | $0.01315 |
| Haiku 4.5 | $0.00005 | $0.00658 |
Grade A, and why
axiom-energy 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 — 853 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Energy Optimization
Overview
Energy issues manifest as battery drain, hot devices, and poor App Store reviews. Core principle: Measure before optimizing. Use Power Profiler to identify the dominant subsystem (CPU/GPU/Network/Location/Display), then apply targeted fixes.
Key insight: Developers often don't know where to START auditing. This skill provides systematic diagnosis, not guesswork.
Requirements: iOS 26+, Xcode 26+, Power Profiler in Instruments
Example Prompts
Real questions developers ask that this skill answers:
1. "My app is always at the top of Battery Settings. How do I find what's draining power?"
→ The skill covers Power Profiler workflow to identify dominant subsystem and targeted fixes
2. "Users report my app makes their phone hot. Where do I start debugging?"
→ The skill provides decision tree: CPU vs GPU vs Network diagnosis with specific patterns
3. "I have timers and location updates. Are they causing battery drain?"
→ The skill covers timer tolerance, location accuracy trade-offs, and audit checklists
4. "My app drains battery in the background even when users aren't using it."
→ The skill covers background execution patterns, BGTasks, and EMRCA principles
5. "How do I measure if my optimization actually improved battery life?"
→ The skill demonstrates before/after Power Profiler comparison workflow
Red Flags — High Energy Likely
If you see ANY of these, suspect energy inefficiency:
- Battery Settings: Your app consistently at top of battery consumers
- Device temperature: Phone gets warm during normal app use
- User reviews: Mentions of "battery drain", "hot phone", "kills my battery"
- Xcode Energy Gauge: Shows sustained high or very high impact
- Background runtime: App runs longer than expected when not visible
- Network activity: Frequent small requests instead of batched operations
- Location icon: Appears in status bar when app shouldn't need location
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 · 853 lines · 52 tokens per session scan A 8e881cd58a01
axiom-energy is a skill published in the GitHub repository ComeOnOliver/skillshub (63 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 6,577 once invoked, about $0.0003 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 2026-09-03.
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