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 pedroiff0/awesome-skills --skill watermarks-removergit clone --depth 1 https://github.com/pedroiff0/awesome-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/pedroiff0/awesome-skills/watermarks-remover)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/watermarks-remover"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/watermarks-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/pedroiff0/awesome-skills/watermarks-remover"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/watermarks-remover.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00061 | $0.01097 |
| Opus 5 | $0.00030 | $0.00549 |
| Sonnet 5 | $0.00012 | $0.00219 |
| Haiku 4.5 | $0.00006 | $0.00110 |
Grade A, and why
watermarks-remover scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "$WM/inspect" -H 'Content-Type: application/json' \ How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Vendor AI Watermark & Provenance Remover
Purity rules: Open hygiene and privacy tool for user-owned content. No proprietary keys or closed endpoints embedded.
This skill strips multi-vendor AI provenance marks from text and document files, covering invisible Unicode injection (Layer A), statistical sampling watermarks (Layer B), and signed C2PA / EXIF / XMP container metadata.
When to Use
- Stripping invisible Unicode characters (
ZWSP,ZWNJ,VS16, BiDi controls) from AI-generated text or copy. - Cleaning signed C2PA / Content Credentials and EXIF/XMP metadata from images and documents.
- Sanitizing Markdown, DOCX, PDF, or text files for clean publishing and privacy hygiene.
- Triggered by requests like "remove AI watermarks", "clean invisible unicode", "strip C2PA", or
/remove-ai-marks.
Architecture & Layers
┌────────────────────────────────────────────────────────────────────────────┐
│ INPUT ARTIFACT │
└──────────────────────┬───────────────────────────────┬─────────────────────┘
│ │
[Text / Code / Markdown] [Media & Document Files]
│ │
▼ ▼
┌───────────────────────────────┐ ┌───────────────────────────┐
│ LAYER A: Invisible Unicode │ │ LAYER C: Container Meta │
│ (ZWSP, Tags, BiDi, Selectors) │ │ (C2PA, EXIF, XMP, OOXML) │
│ -> scripts/clean_unicode.py │ │ -> exiftool / zip scrub │
└───────────────┬───────────────┘ └─────────────┬─────────────┘
│ │
▼ │
┌───────────────────────────────┐ │
│ LAYER B: Statistical Tokens │ │
│ (SynthID, Green-list LLM) │ │
│ -> Paraphrase / Rewrite │ │
└───────────────┬───────────────┘ │
│ │
└───────────────┬───────────────┘
▼
CLEANED ARTIFACT
What ships with it
3 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.
- 11d ago First seen · 110 lines · 61 tokens per session scan A 9fe3e897f54b
watermarks-remover is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 1,097 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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