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 wangkuan100-cell/claude-pet --skill claude-petgit clone --depth 1 https://github.com/wangkuan100-cell/claude-petWrote 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/wangkuan100-cell/claude-pet/claude-pet)<a href="https://agentmods.dev/skills/wangkuan100-cell/claude-pet/claude-pet"><img src="https://agentmods.dev/badge/skills/wangkuan100-cell/claude-pet/claude-pet/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/wangkuan100-cell/claude-pet/claude-pet"><img src="https://agentmods.dev/badge/skills/wangkuan100-cell/claude-pet/claude-pet.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 | $0.00045 | $0.00270 |
| Opus 5 | $0.00023 | $0.00135 |
| Sonnet 5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00005 | $0.00027 |
Grade A, and why
claude-pet 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 11d 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
claude-pet
A virtual desktop pet that grows from the user's coding activity. State lives in
~/.claude-pet/ (never in the project). Drive it via the CLI:
node bin/pet.js status— level, stage, mood, achievements, current project statusnode bin/pet.js rename <name>node bin/pet.js milestone "<what shipped>"— +300 XP and a milestone achievementnode bin/pet.js start/stop— show/hide the floating Electron widget
Everyone starts as an egg; it hatches into a RANDOM creature (the user does not
choose) once it grows past level 1. The pet grows from observed activity (lines,
tokens, conventional-commit types, passing tests, milestones); it shows reminder
bubbles for high context usage,
uncommitted changes, and long coding stretches. It is read-only with respect to
the user's project. To regenerate art: OPENAI_API_KEY=... npm run gen-art.
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.
- 11d ago First seen · 22 lines · 45 tokens per session scan A deae30e6afc5
claude-pet is a skill published in the GitHub repository wangkuan100-cell/claude-pet (3 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 270 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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