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 rookie-ricardo/erduo-skills --skill gemini-watermark-removergit clone --depth 1 https://github.com/rookie-ricardo/erduo-skillsWrote 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/rookie-ricardo/erduo-skills/gemini-watermark-remover)<a href="https://agentmods.dev/skills/rookie-ricardo/erduo-skills/gemini-watermark-remover"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/gemini-watermark-remover/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/rookie-ricardo/erduo-skills/gemini-watermark-remover"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/gemini-watermark-remover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00330 |
| Opus 5 | $0.00028 | $0.00165 |
| Sonnet 5 | $0.00011 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
gemini-watermark-remover 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 12d 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.
What it actually says
Gemini Watermark Remover
Dependencies
- Python 3.9+
- Pillow (install with
pip install -r requirements.txt)
Quick start
- Install dependencies in the scripts folder:
cd skills/gemini-watermark-remover/scripts && pip install -r requirements.txt
- Run the CLI:
python remove_watermark.py <input-image> <output-image>
CLI usage
- Parameters:
input-image: path to the Gemini watermarked imageoutput-image: path for the cleaned image (format inferred from extension)
Example:
python remove_watermark.py ./in.png ./out.png
What this skill provides
scripts/remove_watermark.py: CLI entry point and core algorithm.assets/bg_48.png,assets/bg_96.png: Pre-captured watermark alpha maps.references/algorithm.md: Math, detection rules, and limits.
Workflow
- Use
remove_watermark.pyfor one-off processing. - If you need to adjust detection rules or alpha logic, read
references/algorithm.md.
Notes
- The script uses Pillow for image IO and per-pixel edits.
- Output format is inferred from the output file extension by Pillow.
What ships with it
5 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.
- 12d ago First seen · 47 lines · 55 tokens per session scan A 51ee814927e7
gemini-watermark-remover is a skill published in the GitHub repository rookie-ricardo/erduo-skills (935 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 330 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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