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 agentmods add skills/subhansh-dev/agent-maxxing/avatarnpx skills add subhansh-dev/agent-maxxing --skill avatargit clone --depth 1 https://github.com/subhansh-dev/agent-maxxingWhat 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 | $0.00016 | $0.00456 |
| Opus 5 | $0.00008 | $0.00228 |
| Sonnet 5 | $0.00003 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
avatar 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 2d 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
Avatar Component
.avatar {
width: 40px;
height: 40px;
border-radius: 50%;
overflow: hidden;
position: relative;
flex-shrink: 0;
}
.avatar img {
width: 100%;
height: 100%;
object-fit: cover;
}
.avatar-initials {
width: 100%;
height: 100%;
display: flex;
align-items: center;
justify-content: center;
background: linear-gradient(135deg, var(--accent), var(--accent-deep));
color: white;
font-size: 14px;
font-weight: 600;
}
.avatar-status {
position: absolute;
bottom: 0;
right: 0;
width: 12px;
height: 12px;
border-radius: 50%;
border: 2px solid rgba(16, 18, 30, 0.95);
}
.avatar-status.online { background: #22c55e; }
.avatar-status.away { background: #f59e0b; }
.avatar-status.busy { background: #ef4444; }
.avatar-status.offline { background: #6b7280; }
.avatar-group {
display: flex;
}
.avatar-group .avatar {
margin-left: -8px;
border: 2px solid rgba(16, 18, 30, 0.95);
}
.avatar-group .avatar:first-child {
margin-left: 0;
}
.avatar-sm { width: 28px; height: 28px; font-size: 11px; }
.avatar-lg { width: 56px; height: 56px; font-size: 18px; }
.avatar-xl { width: 80px; height: 80px; font-size: 24px; }
Rules:
- Show initials when image fails to load
- Status dot: online/green, away/yellow, busy/red, offline/grey
- Avatar group: overlap with negative margin
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.
- 2d ago First seen · 73 lines · 16 tokens per session scan A ccc0c1ad3e23
avatar is a skill published in the GitHub repository subhansh-dev/agent-maxxing (2 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 456 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 2026-08-31.
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