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 agentmods add skills/allenk/gwt-integrations/gwtnpx skills add allenk/gwt-integrations --skill gwtgit clone --depth 1 https://github.com/allenk/gwt-integrationsWrote 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/allenk/gwt-integrations/gwt)<a href="https://agentmods.dev/skills/allenk/gwt-integrations/gwt"><img src="https://agentmods.dev/badge/skills/allenk/gwt-integrations/gwt.svg" alt="Measured on agentmods" 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 | $0.00115 | $0.02609 |
| Opus 5 | $0.00057 | $0.01305 |
| Sonnet 5 | $0.00023 | $0.00522 |
| Haiku 4.5 | $0.00012 | $0.00261 |
Grade A, and why
gwt 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 5d 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
98% identical to gwt — 12 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GeminiWatermarkTool Skill for Codex-Like Agents
Overview
GeminiWatermarkTool (GWT) removes visible Gemini AI watermarks from images using mathematically accurate reverse alpha blending, with optional AI denoising (FDnCNN + NCNN Vulkan GPU) for residual cleanup.
Source: https://github.com/allenk/GeminiWatermarkTool
Binary Location
Search in this order:
- Environment variable:
GWT_BINARY_PATH - System PATH:
GeminiWatermarkTool(or.exeon Windows) - Codex skill bin directory:
- Windows:
%USERPROFILE%\.codex\skills\gwt\bin\GeminiWatermarkTool.exe - Linux/macOS:
~/.codex/skills/gwt/bin/GeminiWatermarkTool
- Windows:
- Repo-local bin directory (validation mode / fallback):
- Windows:
.\bin\GeminiWatermarkTool.exe - Linux/macOS:
./bin/GeminiWatermarkTool
- Windows:
If not found, run the installer:
python ~/.codex/skills/gwt/install.py
For local validation inside this repo only:
python ~/.codex/skills/gwt/install.py --dir ./bin
Always pass --no-banner when calling GWT — suppresses ASCII art that wastes tokens.
Watermark Profile Selection (v0.3.1+)
GWT ships with two watermark profiles. The default targets Gemini 3.5 and later, with automatic legacy fallback.
| Profile | Targets | When tried |
|---|---|---|
| Current (V2) | Gemini 3.5 and later outputs | first, by default |
| Legacy (V1) | Pre-Gemini-3.5 outputs | automatically retried if V2 skips |
This means remove_watermark(input, output) already handles mixed Gemini-3.5+
and pre-3.5 inputs without supervision — the CLI tries the current profile,
and on skip retries with the legacy profile before reporting the final outcome.
Two opt-out paths exist for the rare case where you need to pin a profile:
no_legacy=Trueparameter — disable the automatic fallback (current only)remove_watermark_legacy/remove_watermark_batch_legacy— pin legacy only
Always start with remove_watermark / remove_watermark_batch. The
auto-fallback handles the common case. The dedicated *_legacy tools are
mostly there for callers that have side knowledge an image is pre-3.5 and
want to skip the V2 attempt entirely.
What ships with it
4 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.
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.
- 5d ago First seen · 260 lines · 115 tokens per session scan A 205646705acb
gwt is a skill published in the GitHub repository allenk/gwt-integrations (10 stars, last pushed 3mo ago), licensed MIT. It adds 115 tokens to every session and 2,609 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to gwt, differing in 12 lines, and is treated as a copy.
Other skills, from other repositories
understand-dashboard
Launch the interactive web dashboard to visualize a codebase's knowledge graph.
understand-explain
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase.
understand-onboard
Use when you need to generate an onboarding guide for new team members joining a project.
baoyu-youtube-transcript
Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面"…
baoyu-comic
Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
baoyu-diagram
Create professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system…