根据角色或品牌视觉生成、修复并打包可用于 Codex 的动画宠物素材。
该技能材料显示其为开源、无密钥、未声明远程端点的宠物精灵图生成工作流,整体风险较低。其主要关注点在于会围绕本地图片生成与文件落盘进行处理,但依据现有材料未见明显数据外发、凭证滥用或供应链红旗。
材料明确写明“需要的密钥/环境变量:(无)”,未见要求 API key、Token 或账号凭证,也未见诱导收集或回传凭证的描述,凭证暴露面低。
声明“远程端点 host:(无)”,文档仅提到调用已安装的 `$imagegen` 系统技能而非直连特定第三方主机;基于现有材料未见将用户数据发送到不明或无关外部端点的证据。
README 提到会“use bundled scripts for deterministic spritesheet assembly”,并涉及父级 shell/`jq` 步骤、校验、打包与清理;这意味着工作流可能触发本地脚本和命令执行。此类本地执行属于技能/工具常规能力,当前未见超出声明用途的高危系统权限申请。
文档明确涉及读取本地技能文件 `${CODEX_HOME:-$HOME/.codex}/skills/.system/imagegen/SKILL.md`,以及在 `${CODEX_HOME:-$HOME/.codex}/generated_images`、`decoded/` 等路径写入、复制和删除生成图片。说明其具备有限本地文件访问与清理能力,但从材料看范围主要围绕生成产物与技能目录,未见过度授权迹象。
来源为 GitHub 上的 openai/skills,且系统标注为 open-source、community-trust 约 22k star,源码可审计、社区采用度高,这是明显的降风险因素。需留意许可证未声明、维护状态未知,但仅凭这些不足以构成高风险红旗。
复制安装指令,让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "hatch-pet" 技能: 1. 下载 https://raw.githubusercontent.com/openai/skills/main/skills/.curated/hatch-pet/SKILL.md 2. 保存为 ~/.claude/skills/hatch-pet/SKILL.md 3. 装好后重载技能,告诉我可以用了
Create a Codex-compatible animated pet from a concept, brand cue, company/prospect name, one or more reference images, or any combination of those inputs. This workflow keeps the deterministic hatch-pet pipeline for atlas geometry, validation, visual QA, and packaging, while using concise state-specific prompts and allowing any pet-safe visual style.
User-facing inputs are optional. If the user omits a pet name, infer one from the concept, brand, company, or reference filenames; if that is not possible, choose a short friendly 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.
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, image CLI, or any other image-generation path directly. Let $imagegen choose its own built-in-first path and fallback rules. If $imagegen says a fallback requires confirmation, ask the user before continuing.
When invoking $imagegen, pass the generated pet prompt as the authoritative visual spec. Pet prompts should stay concise, state-specific, sprite-production oriented, and grounded in the listed input images. Keep longer policy and QA rules in this skill and the deterministic review scripts rather than expanding them into every image prompt. Do not wrap prompts in the generic $imagegen shared prompt schema.
Use this skill's scripts for deterministic image work only: preparing layout guides and prompts, mirroring approved running-left, extracting frames, validating rows, composing the final atlas, and creating contact-sheet plus motion-preview QA media. Parent-owned shell/jq steps handle manifest updates, packaging, and cleanup.
The built-in $imagegen path stores generated PNG bytes in the rollout that invokes it, even when it also writes a file under ${CODEX_HOME:-$HOME/.codex}/generated_images. Deleting files later reduces filesystem use, but it does not shrink an already-written rollout. Keep image generation isolated and bounded:
selected_source=... and qa_note=...; they must not include Markdown image previews, base64, or extra visual attachments in their final response.decoded/, remove the selected original from ${CODEX_HOME:-$HOME/.codex}/generated_images when it lives there, then remove its now-empty generation directory if possible.$imagegen CLI fallback when available. That path requires local API credentials and explicit user confirmation, but it can avoid built-in image payloads being embedded in rollout events.If the user provides a brand, company, product, or prospect name rather than a concrete avatar description or reference image, run a lightweight discovery subagent before preparing the pet run. The discovery worker must use web search and prefer official sources such as the brand site, product pages, docs, about pages, press pages, or brand pages. Use reputable secondary sources only when official pages are too thin. Keep the search narrow: enough to extract visual and personality cues, not a market-research brief.
Skip discovery when the user already provides a concrete mascot/avatar description or reference images, unless the user explicitly asks for brand research.
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根据代码库在 Figma 中创建或更新专业级设计系统与组件库
在调用 Figma 操作前加载此技能,确保编辑与脚本检查稳定执行
连接 Figma 获取设计上下文与资源,并将节点高效转换为生产代码。
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查询 OpenAI 官方文档与引用,辅助选型、升级模型及优化提示词
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用自然语言生成像素画、角色表、图标与动画游戏素材。
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帮助你创建、整理、校验并重构 AgentSkills 与 SKILL.md 技能文件。
将本地 Claude Code 或 Codex 历史转为可分享的匿名开发者画像与海报
帮助用户创作海报、插画与静态视觉稿,并输出PNG或PDF文件