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CC hatch-pet

Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.

nexu-io/open-design Agent Skills author: nexu-io Apache-2.0 5 files body ≈ 5 648 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual…

As a process C 53/100 · Has gaps — References files that are not bundled: references/canonical-base.png, references/layout-guides/, scripts/generate_pet_images.py

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
C
53/100
Has gaps
References files that are not bundled: references/canonical-base.png, references/layout-guides/, scripts/generate_pet_images.py
Tools and files w 18
0
Inputs and preconditions w 11
0
Result and completion w 14
40
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: open-design

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5648 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/canonical-base.png
  • warning missing-ref reference to a missing file: references/layout-guides/
  • warning missing-ref reference to a missing file: scripts/generate_pet_images.py
  • warning missing-ref reference to a missing file: references/layout-guides/<state>.png
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "od"

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: references/canonical-base.png, references/layout-guides/, scripts/generate_pet_images.py
  • 0Tools and files. 4 referenced file(s) missing: references/canonical-base.png, references/layout-guides/, scripts/generate_pet_images.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 5648 tokens
  • 85Steps. 78 steps, 1 vague phrases
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 544: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 78 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.