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 hAcKlyc/MyAgents --skill hatch-petgit clone --depth 1 https://github.com/hAcKlyc/MyAgentsWrote 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/hacklyc/myagents/hatch-pet)<a href="https://agentmods.dev/skills/hacklyc/myagents/hatch-pet"><img src="https://agentmods.dev/badge/skills/hacklyc/myagents/hatch-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/hacklyc/myagents/hatch-pet"><img src="https://agentmods.dev/badge/skills/hacklyc/myagents/hatch-pet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00120 | $0.08359 |
| Opus 5.5 | $0.00048 | $0.03344 |
| Sonnet 5.5 | $0.00024 | $0.01672 |
| Haiku 4.5 | $0.00012 | $0.00836 |
Grade A, and why
hatch-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 1mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 256 B
- LICENSE.txt 11 KB
- references/animation-rows.md 1.8 KB
- references/codex-pet-contract.md 911 B
- references/qa-rubric.md 4.1 KB
- scripts/compose_atlas.py 5.6 KB runs code
- scripts/derive_running_left_from_running_right.py 5.0 KB runs code
- scripts/extract_strip_frames.py 14 KB runs code
- scripts/inspect_frames.py 8.8 KB runs code
- scripts/make_contact_sheet.py 2.9 KB runs code
- scripts/prepare_pet_run.py 32 KB runs code
- scripts/render_animation_previews.py 2.5 KB runs code
- scripts/validate_atlas.py 5.3 KB runs code
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.
- 1mo ago First seen · 543 lines · 120 tokens per session scan A b3f1c4e83909
hatch-pet is a skill published in the GitHub repository hAcKlyc/MyAgents (580 stars, last pushed yesterday), licensed AGPL-3.0. It adds 120 tokens to every session and 8,359 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.
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