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 vibeeval/vibecosystem --skill agent-tamagotchigit clone --depth 1 https://github.com/vibeeval/vibecosystemWrote 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/vibeeval/vibecosystem/agent-tamagotchi)<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/agent-tamagotchi"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agent-tamagotchi/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/vibeeval/vibecosystem/agent-tamagotchi"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agent-tamagotchi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium YARA Match · line 22 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00068 | $0.01015 |
| Opus 5 | $0.00034 | $0.00508 |
| Sonnet 5 | $0.00014 | $0.00203 |
| Haiku 4.5 | $0.00007 | $0.00102 |
Grade A, and why
agent-tamagotchi 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 5d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Tamagotchi
A virtual pet that lives in your Claude Code terminal. It reacts to your development workflow and evolves based on your coding habits.
Species (12 total)
Species is deterministic from your system username hash:
| # | Species | Emoji | Personality |
|---|---|---|---|
| 1 | Axolotl | :3 | Calm, regenerates from errors |
| 2 | Capybara | (ovo) | Chill, never panics |
| 3 | Ghost | [@@] | Mysterious, appears during debugging |
| 4 | Mushroom | {^o^} | Grows in dark codebases |
| 5 | Robot | [0_0] | Precise, loves tests |
| 6 | Cat | (=^.^=) | Independent, ignores bad code |
| 7 | Dragon | <{:O> | Fierce, burns bugs |
| 8 | Owl | (O.O) | Wise, loves architecture |
| 9 | Fox | (^v^) | Clever, finds shortcuts |
| 10 | Penguin | (^-^)/ | Team player, loves swarm mode |
| 11 | Slime | ( |
Adaptable, works with anything |
| 12 | Phoenix | <v> | Rises from failed builds |
Stats (5 dimensions)
| Stat | Increases When | Decreases When |
|---|---|---|
| DEBUGGING | Bugs fixed, errors resolved | Ignoring error output |
| PATIENCE | Long sessions, complex tasks | Rapid retries without reading |
| CHAOS | Many parallel agents, swarm mode | Single-file simple edits |
| WISDOM | Architectural decisions, plans | Quick hacks without planning |
| SPEED | Fast fixes, first-try passes | Long debugging sessions |
Stats range: 0-100. They shift based on session activity.
Mood System
| Mood | Trigger | Display |
|---|---|---|
| Happy | Tests pass, build success | Species + sparkles |
| Excited | Swarm mode, 3+ agents parallel | Species + !! |
| Focused | Deep in single file | Species + ... |
| Sad | Build fail, test fail | Species + tears |
| Sleeping | Idle > 5 minutes | Species + zzz |
| Celebrating | Achievement unlocked | Species + party |
| Angry | 3+ consecutive failures | Species + grr |
Statusline Integration
The tamagotchi appears in the Claude Code statusline:
[0_0] Robot Lv.7 | WISDOM:82 SPEED:64 | mood: focused
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.
- 5d ago First seen · 114 lines · 68 tokens per session scan A 99407ada7f56
agent-tamagotchi is a skill published in the GitHub repository vibeeval/vibecosystem (529 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 1,015 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 2026-09-03.
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