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 Amazon-Quick/Amazon-Quick-official-catalog --skill battery-storage-analystgit clone --depth 1 https://github.com/Amazon-Quick/Amazon-Quick-official-catalogWrote 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/amazon-quick/amazon-quick-official-catalog/battery-storage-analyst)<a href="https://agentmods.dev/skills/amazon-quick/amazon-quick-official-catalog/battery-storage-analyst"><img src="https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/battery-storage-analyst/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/amazon-quick/amazon-quick-official-catalog/battery-storage-analyst"><img src="https://agentmods.dev/badge/skills/amazon-quick/amazon-quick-official-catalog/battery-storage-analyst.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 | $0.00093 | $0.03311 |
| Opus 5.5 | $0.00037 | $0.01324 |
| Sonnet 5.5 | $0.00019 | $0.00662 |
| Haiku 4.5 | $0.00009 | $0.00331 |
Grade A, and why
battery-storage-analyst 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 today.
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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/battery-charging.svg 479 B
- assets/README.md 1.8 KB
- references/data-sources.md 2.4 KB
- references/degradation-model.md 3.8 KB
- references/financial-model.md 3.8 KB
- references/sizing-and-dispatch.md 4.3 KB
- scripts/degradation.py 6.7 KB runs code
- scripts/financial.py 7.1 KB runs code
- scripts/rainflow.py 5.7 KB runs code
- scripts/tests/unit/test_degradation.py 2.5 KB runs code
- scripts/tests/unit/test_financial.py 3.3 KB runs code
- scripts/tests/unit/test_rainflow.py 1.5 KB runs code
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.
- today Changed bd59625014b4
- 2d ago Changed 76e5f39e6c9d
- 1mo ago Changed · +2 lines c44b486a8fe6
- 1mo ago Changed · +1 lines a51d27650710
- 1mo ago First seen · 150 lines · 93 tokens per session scan A c6c0a255b767
battery-storage-analyst is a skill published in the GitHub repository Amazon-Quick/Amazon-Quick-official-catalog (50 stars, last pushed today), licensed MIT-0. It adds 93 tokens to every session and 3,311 once invoked, about $0.0004 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 2026-08-30.
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