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 legeling/awesome-codex-pet --skill hatch-pet-v1git clone --depth 1 https://github.com/legeling/awesome-codex-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/legeling/awesome-codex-pet/hatch-pet-v1)<a href="https://agentmods.dev/skills/legeling/awesome-codex-pet/hatch-pet-v1"><img src="https://agentmods.dev/badge/skills/legeling/awesome-codex-pet/hatch-pet-v1/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/legeling/awesome-codex-pet/hatch-pet-v1"><img src="https://agentmods.dev/badge/skills/legeling/awesome-codex-pet/hatch-pet-v1.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 | $0.00107 | $0.05316 |
| Opus 5 | $0.00053 | $0.02658 |
| Sonnet 5 | $0.00021 | $0.01063 |
| Haiku 4.5 | $0.00011 | $0.00532 |
Grade A, and why
hatch-pet-v1 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.
This is a copy
89% identical to hatch-pet — 58 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hatch Pet v1
Overview
Create a Codex-compatible animated pet from a concept, one or more reference images, or both. This skill owns pet-specific prompt planning, animation rows, frame extraction, atlas geometry, QA, previews, and packaging. It delegates visual generation to $imagegen.
User-facing inputs are optional. If the user omits a pet name, infer one from the concept or reference filenames; if that is not possible, choose a short appropriate name. If the user omits a description, infer one from the concept or references. If the user omits reference images, generate the base pet from text first, then use that base as the canonical reference for every animation row.
Generation Delegation
Use $imagegen for all normal visual generation.
Before generating base art, row strips, or repair rows, load and follow the installed image generation skill:
${CODEX_HOME:-$HOME/.codex}/skills/.system/imagegen/SKILL.md
Do not call the Image API directly for the normal path. Let $imagegen choose its own built-in-first path and its own CLI fallback rules. If $imagegen says a fallback requires confirmation, ask the user before continuing.
When invoking $imagegen from this skill, pass the generated pet prompt as the authoritative visual spec. Do not wrap it in the generic $imagegen shared prompt schema and do not add extra polish, hero-art, photo, product, or illustration-style augmentation. Pet prompts should stay terse, sprite-specific, and digital-pet oriented; only add role labels for input images and any essential user constraint.
Use this skill's scripts for deterministic work only: preparing prompts and manifests, ingesting selected $imagegen outputs, extracting frames, validating rows, composing the final atlas, creating QA media, and packaging.
Hard boundary: do not create, draw, tile, warp, mirror, or synthesize pet visuals with local Python/Pillow scripts, SVG, canvas, HTML/CSS, or other code-native art as a substitute for $imagegen. For a normal pet run, expect up to 10 visual generation jobs: 1 base pet plus 9 row-strip jobs. The only exception is running-left, which may be derived by mirroring running-right only after running-right has been generated, visually inspected, and explicitly approved as safe to mirror. If mirroring is not appropriate, generate running-left as a normal grounded $imagegen row. If those calls are too expensive, blocked, or unavailable, stop and explain the blocker instead of fabricating row strips locally.
What ships with it
21 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 463 B
- LICENSE.txt 11 KB
- references/animation-rows.md 1.7 KB
- references/codex-pet-contract.md 788 B
- references/qa-rubric.md 4.0 KB
- scripts/compose_atlas.py 5.4 KB runs code
- scripts/derive_running_left_from_running_right.py 4.8 KB runs code
- scripts/extract_strip_frames.py 16 KB runs code
- scripts/finalize_pet_run.py 14 KB runs code
- scripts/generate_pet_images.py 8.9 KB runs code
- scripts/inspect_frames.py 8.3 KB runs code
- scripts/inspect_matte_fringe.py 7.3 KB runs code
- scripts/make_contact_sheet.py 2.9 KB runs code
- scripts/package_custom_pet.py 3.7 KB runs code
- scripts/pet_job_status.py 4.0 KB runs code
- scripts/prepare_pet_run.py 27 KB runs code
- scripts/queue_pet_repairs.py 6.6 KB runs code
- scripts/record_imagegen_result.py 7.7 KB runs code
- scripts/render_animation_videos.py 4.1 KB runs code
- scripts/render_animation_videos.sh 152 B runs code
- scripts/validate_atlas.py 4.7 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.
- 10d ago First seen · 336 lines · 107 tokens per session scan A 8d6fd6a644f2
hatch-pet-v1 is a skill published in the GitHub repository legeling/awesome-codex-pet (888 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 5,316 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to hatch-pet, differing in 58 lines, and is treated as a copy.
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