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 KunanonJ/ai-skills-hub --skill aside-google-accountsgit clone --depth 1 https://github.com/KunanonJ/ai-skills-hubWrote 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/kunanonj/ai-skills-hub/aside-google-accounts)<a href="https://agentmods.dev/skills/kunanonj/ai-skills-hub/aside-google-accounts"><img src="https://agentmods.dev/badge/skills/kunanonj/ai-skills-hub/aside-google-accounts/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/kunanonj/ai-skills-hub/aside-google-accounts"><img src="https://agentmods.dev/badge/skills/kunanonj/ai-skills-hub/aside-google-accounts.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 | $0.00016 | $0.00181 |
| Opus 5 | $0.00008 | $0.00090 |
| Sonnet 5 | $0.00003 | $0.00036 |
| Haiku 4.5 | $0.00002 | $0.00018 |
Grade A, and why
aside-google-accounts 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 8d 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.
What it actually says
Google Accounts
Use the googleAccounts global in the REPL tool to discover signed-in Google accounts. Uses cookie-only HTTP — no tab needed.
Usage
await googleAccounts.print();
Methods
googleAccounts.print(): Promise<void>
Print all signed-in Google accounts to the console. Token-efficient.
googleAccounts.list(): Promise<GoogleAccountInfo[]>
Returns all signed-in Google accounts. Use this when you need programmatic access.
interface GoogleAccountInfo {
accountId: number; // matches Gmail /u/{uid}/
name: string;
email: string;
profileImageUrl: string;
}
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.
- 8d ago First seen · 36 lines · 16 tokens per session scan A 16b9b2e7c2a5
aside-google-accounts is a skill published in the GitHub repository KunanonJ/ai-skills-hub (5 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 181 once invoked, about $0.0001 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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