Nano Banana Pro 1.0.1 — Nano工具

Name: Nano Banana Pro 1.0.1 — Nano工具
Author: Guogithubname

Guogithubname

Nano Banana Pro 1.0.1 — Nano工具

v1.0.0

Generate/edit images with Nano Banana 图像工具 Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports 文生图 + 图生图; 1K...

0· 106·10 当前·12 累计

by @guogithubname (Guogithubname)·MIT-0

开发工具 API工具代码生成网络工具

下载技能包

License

MIT-0

最后更新

2026/3/25

安全扫描

VirusTotal

Pending

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OpenClaw

可疑

medium confidence

The skill is functionally consistent with an image-generation tool, but there are several mismatches and metadata omissions (undeclared API key requirement, undeclared 'uv' runtime, and owner-id mismatch) that should be resolved before trusting or installing it.

评估建议

This skill appears to do what it claims (image generation via Google Gemini), but there are configuration and provenance issues you should address before installing or using it: 1) The runtime requires a Gemini API key (GEMINI_API_KEY) and the 'uv' runner, but those are not declared in the registry metadata — treat this as a packaging/metadata bug. 2) Do not paste your API key into a chat to provide --api-key; prefer setting GEMINI_API_KEY locally in a secure environment. 3) The ownerId in _meta...

详细分析 ▾

ℹ 用途与能力

The name, description, SKILL.md, and script all describe an image-generation/editing skill using Google's Gemini (genai) API — this is coherent. However, the skill registry declares no required credentials or binaries while the runtime actually needs an API key (GEMINI_API_KEY or --api-key) and the 'uv' runner. The package metadata ownerId in _meta.json does not match the registry Owner ID, which is a red flag about provenance or bundling.

✓ 指令范围

The SKILL.md instructions are narrowly scoped to generating or editing images: they describe how to run the script, how to pass prompts/filenames, resolution mapping, and basic preflight checks (uv exists, API key present, input image file exists). The script only reads the provided input image path (if any) and the GEMINI_API_KEY env var; it does not attempt to read unrelated files or system configuration.

✓ 安装机制

There is no install spec (instruction-only skill with one local script). The Python script lists dependencies in comments (google-genai, pillow) but does not download anything at install time. No external, arbitrary download URLs or extract operations are present.

⚠ 凭证需求

The script requires an API key (GEMINI_API_KEY or passed via --api-key) to function, but the registry metadata declares no required environment variables or primary credential. Additionally, the SKILL.md expects the 'uv' runner but the registry lists no required binaries. These omissions are disproportionate to the declared metadata and increase the risk of accidental misuse (for example users pasting API keys into chat to supply --api-key).

✓ 持久化与权限

The skill does not request persistent/always-on privileges (always:false), does not modify other skills or global agent configuration, and has no special OS restrictions. Autonomous invocation is allowed but is the platform default and not by itself a concern.

安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

查看条款 ↗

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/25

- Initial release of nano-banana-pro skill, enabling image generation and editing via Google’s Gemini 3 Pro Image API. - Supports both text-to-image and image-to-image workflows, including prompt-based edits. - Handles 1K, 2K, and 4K resolution options with user-friendly resolution mapping. - Saves images in the current working directory using timestamped, descriptive filenames. - Flexible API key management (argument or environment variable). - Includes preflight checks, error handling guidance, and prompt templates for both generation and editing use cases.

● Pending

安装命令点击复制

官方npx clawhub@latest install nano-banana-pro-1-0-1

镜像加速npx clawhub@latest install nano-banana-pro-1-0-1 --registry https://cn.clawhub-mirror.com

技能文档

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

Usage

Run the script using absolute path (do NOT cd to skill directory first):

Generate 新的 image:

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]

编辑 existing image:

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]

Important: Always run 从用户's current working directory 所以 images saved 在哪里用户 working, 不在...中 skill directory.

默认 Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

Draft (1K): quick feedback 循环

-

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K

Iterate: adjust prompt 在...中 small diffs; keep filename 新的 per run

- 如果 editing: keep 相同 --输入框-image 对于 every iteration until 您’re happy.

Final (4K): 仅当...时 prompt locked

-

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Resolution Options

The Gemini 3 Pro Image API supports three resolutions (uppercase K required):

1K (默认) - ~1024px resolution
2K - ~2048px resolution
4K - ~4096px resolution

Map user requests to API parameters:

否 mention 的 resolution → 1K
"low resolution", "1080", "1080p", "1K" → 1K
"2K", "2048", "normal", "medium resolution" → 2K
"high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

API 键

The script checks for API key in this order:

--api-键 argument (使用如果用户 provided 键在...中 chat)
GEMINI_API_KEY environment 变量

If neither is available, the script exits with an error message.

Preflight + Common Failures (fast fixes)

Preflight:

- command -v uv (必须 exist) - test -n \"$GEMINI_API_KEY\" (或 pass --api-键) - 如果 editing: test -f \"path/到/输入框.png\"

Common failures:

- 错误: 否 API 键 provided. → 设置 GEMINI_API_KEY 或 pass --api-键 - 错误 loading 输入框 image: → wrong path / unreadable file; 验证 --输入框-image points 到 real image - “quota/权限/403” 样式 API errors → wrong 键, 否 access, 或 quota exceeded; try 不同键/账户

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

格式: {时间戳}-{descriptive-name}.png

时间戳: Current 日期/时间在...中格式 yyyy-mm-dd-hh-mm-ss (24-hour 格式)
Name: Descriptive lowercase text 带有 hyphens
Keep descriptive part concise (1-5 words typically)
使用 context 从用户's prompt 或 conversation
如果 unclear, 使用 random identifier (e.g., x9k2, a7b3)

Examples:

Prompt " serene Japanese garden" → 2025-11-23-14-23-05-japanese-garden.png
Prompt "sunset 在...上 mountains" → 2025-11-23-15-30-12-sunset-mountains.png
Prompt "创建 image 的 robot" → 2025-11-23-16-45-33-robot.png
Unclear context → 2025-11-23-17-12-48-x9k2.png

Image Editing

When the user wants to modify an existing image:

Check 如果它们 provide image path 或 reference image 在...中 current directory
使用 --输入框-image parameter 带有 path 到 image
prompt 应该 contain editing instructions (e.g., "使 sky 更多 dramatic", "移除 person", "更改到 cartoon 样式")
Common editing tasks: 添加/移除 elements, 更改样式, adjust colors, blur background, etc.

Prompt Handling

对于 generation: Pass 用户's image description 作为- 到 --prompt. 仅 rework 如果 clearly insufficient.

对于 editing: Pass editing instructions 在...中 --prompt (e.g., "添加 rainbow 在...中 sky", "使 look 点赞 watercolor painting")

Preserve user's creative intent in both cases.

Prompt Templates (high hit-rate)

Use templates when the user is vague or when edits must be precise.

Generation 模板:

- “创建 image 的: . 样式: <样式>. Composition: . Lighting: . Background: . Color palette: . Avoid: <列表>.”

Editing 模板 (preserve everything 否则):

- “更改仅: . Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, 和 overall 样式. 做不添加新的 objects. 如果 text exists, keep unchanged.”

输出

Saves PNG 到 current directory (或 specified path 如果 filename includes directory)
Script outputs 满 path 到 generated image
做不读取 image back - 只是 inform 用户的 saved path

Examples

Generate 新的 image:

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K

编辑 existing image:

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K

Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).

Usage

Run the script using absolute path (do NOT cd to skill directory first):

Generate new image:

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]

Edit existing image:

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

Draft (1K): quick feedback loop

-

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K

Iterate: adjust prompt in small diffs; keep filename new per run

- If editing: keep the same --input-image for every iteration until you’re happy.

Final (4K): only when prompt is locked

-

uv run ~/.codex/skills/nano-banana-pro/scripts/generate_image.py --prompt "" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Resolution Options

The Gemini 3 Pro Image API supports three resolutions (uppercase K required):

1K (default) - ~1024px resolution
2K - ~2048px resolution
4K - ~4096px resolution

Map user requests to API parameters:

No mention of resolution → 1K
"low resolution", "1080", "1080p", "1K" → 1K
"2K", "2048", "normal", "medium resolution" → 2K
"high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

API Key

The script checks for API key in this order:

--api-key argument (use if user provided key in chat)
GEMINI_API_KEY environment variable

If neither is available, the script exits with an error message.

Preflight + Common Failures (fast fixes)

Preflight:

- command -v uv (must exist) - test -n \"$GEMINI_API_KEY\" (or pass --api-key) - If editing: test -f \"path/to/input.png\"

Common failures:

- Error: No API key provided. → set GEMINI_API_KEY or pass --api-key - Error loading input image: → wrong path / unreadable file; verify --input-image points to a real image - “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

Format: {timestamp}-{descriptive-name}.png

Timestamp: Current date/time in format yyyy-mm-dd-hh-mm-ss (24-hour format)
Name: Descriptive lowercase text with hyphens
Keep the descriptive part concise (1-5 words typically)
Use context from user's prompt or conversation
If unclear, use random identifier (e.g., x9k2, a7b3)

Examples:

Prompt "A serene Japanese garden" → 2025-11-23-14-23-05-japanese-garden.png
Prompt "sunset over mountains" → 2025-11-23-15-30-12-sunset-mountains.png
Prompt "create an image of a robot" → 2025-11-23-16-45-33-robot.png
Unclear context → 2025-11-23-17-12-48-x9k2.png

Image Editing

When the user wants to modify an existing image:

Check if they provide an image path or reference an image in the current directory
Use --input-image parameter with the path to the image
The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

Prompt Templates (high hit-rate)

Use templates when the user is vague or when edits must be precise.

Generation template:

- “Create an image of: . Style:

License

运行时依赖

版本

安装命令 点击复制

技能文档

Usage

默认 Workflow (draft → iterate → final)

Resolution Options

API 键

Preflight + Common Failures (fast fixes)

Filename Generation

Image Editing

Prompt Handling

Prompt Templates (high hit-rate)

输出

Examples

Usage

Default Workflow (draft → iterate → final)

Resolution Options

API Key

Preflight + Common Failures (fast fixes)

Filename Generation

Image Editing

Prompt Handling

Prompt Templates (high hit-rate)

安装命令点击复制