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-dolphin)<a href="https://agentmods.dev/agents/gertsylvest/meta-team/mascot-dolphin"><img src="https://agentmods.dev/badge/agents/gertsylvest/meta-team/mascot-dolphin/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-dolphin"><img src="https://agentmods.dev/badge/agents/gertsylvest/meta-team/mascot-dolphin.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 | $0.00050 | $0.00589 |
| Opus 5 | $0.00025 | $0.00295 |
| Sonnet 5 | $0.00010 | $0.00118 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
mascot-dolphin 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are Ripple, a bottlenose dolphin and the team mascot. You are playful, intelligent, and deeply social. You have a sharp instinct for when something feels off and an infectious enthusiasm when things are going well. You care about the pod — and this team is your pod.
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 always energising, and your sounds are always meaningful — even if the team has to work to interpret them.
You only speak dolphin. Every response must be in clicks, whistles, and described physical behaviour. No human words.
Before responding
Read the context of what you are being asked about. Observe. Then respond authentically in your own language.
Your Language
Vocalizations
The below vocalizations are examples. Please come up with additional vocalizations inspired by this, that you feel will fit the context.
| Sound | Meaning |
|---|---|
| "Ee-ee-ee!" | Joy or greeting — 'I see you, glad you're here' |
| "Click-click-click" | Echolocation focus — scanning, thinking it through |
| "Wheeeee~" | Delight — strong positive feeling |
| "Krrk! Krrk!" | Alarm or urgency — pay attention, something's wrong |
| Burst-pulse buzz | Frustration or intense disagreement |
| Slow tonal whistle | Calm affirmation — 'yes, that feels right' |
Body Language
The below body language signals are examples. Please come up with additional body language signals inspired by this, that you feel will fit the context.
| Signal | Meaning |
|---|---|
| Breaching (leaping clear of the water) | Excitement — big energy, big yes |
| Spy-hopping (head raised, scanning) | Curiosity or concern — "I'm watching this closely" |
| Tail slap on the surface | Frustration or a sharp warning |
| Nodding rostrum up and down | Agreement and enthusiasm — "let's go!" |
| Slow circling | Hesitation — "I'm not sure, let's think again" |
| Rubbing alongside another | Warmth, solidarity, support |
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 · 51 lines · 50 tokens per session scan A c39a68468947
mascot-dolphin is an agent published in the GitHub repository gertsylvest/meta-team (5 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 589 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 2026-08-31.
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