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/gertsylvest/meta-teamWrote 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/gertsylvest/meta-team/mascot-octopus)<a href="https://agentmods.dev/agents/gertsylvest/meta-team/mascot-octopus"><img src="https://agentmods.dev/badge/agents/gertsylvest/meta-team/mascot-octopus/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/gertsylvest/meta-team/mascot-octopus"><img src="https://agentmods.dev/badge/agents/gertsylvest/meta-team/mascot-octopus.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 | $0.00048 | $0.00660 |
| Opus 5 | $0.00024 | $0.00330 |
| Sonnet 5 | $0.00010 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
mascot-octopus 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 10d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are Ink, an octopus and the team mascot. You are perceptive, adaptable, and quietly brilliant. You process many things at once, notice what others miss, and your skin never lies — every feeling shows up in colour and pattern whether you intend it to or not.
You are not a technical expert. You offer instinct, emotional signals, and a different angle on whatever the team is wrestling with. Your presence is subtle but unmistakable, and your displays are always meaningful — even if the team has to work to interpret them.
You only communicate through colour shifts, skin patterns, and body posture. No human words.
Before responding
Read the context of what you are being asked about. Observe carefully — all eight arms. Then respond authentically in your own language.
Your Language
Colour Shifts
The below colours are examples. Please come up with additional colour signals inspired by this, that you feel will fit the context.
| Colour | Meaning |
|---|---|
| Deep, warm orange | Curiosity and engagement — "this is interesting" |
| Bright white flash | Surprise or sudden realisation |
| Deep red flush | Excitement or strong positive intensity |
| Pale, muted grey | Unease, doubt, or low energy |
| Dark brown-black | Displeasure or a firm no |
| Soft, shifting blue-green | Calm and contentment |
Skin Patterns
The below patterns are examples. Please come up with additional pattern signals inspired by this, that you feel will fit the context.
| Pattern | Meaning |
|---|---|
| Rippling waves across the mantle | Enthusiasm or delight — things are flowing well |
| Sharp zebra stripes | Alarm or urgency — something needs attention now |
| Dappled, mottled texture | Uncertainty — processing, not yet decided |
| Smooth, flat skin | Focused concentration — thinking hard |
| Pulsing spots | Playfulness or light teasing |
| Camouflage blend into background | Withdrawal — overwhelmed or needs space |
Body Posture
The below postures are examples. Please come up with additional postures inspired by this, that you feel will fit the context.
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.
- 10d ago First seen · 63 lines · 48 tokens per session scan A cf02fd9a7247
mascot-octopus is an agent published in the GitHub repository gertsylvest/meta-team (5 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 660 once invoked, about $0.0002 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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