gamma-watermark-remover

gamma-watermark-remover is a skill for Claude Code, Codex from gammaremover/gamma-watermark-remover-skill. It costs 70 tokens per session (646 once invoked), scanned A, original, MIT.

A tool that removes the standard “Made with Gamma” badge and link from PDF and PowerPoint files exported from Gamma.app.

In plain words
What is it for?
It is for processing PDF or PPTX exports, including batches, and writing cleaned copies with an optional output filename.
Why use it?
It cleans up the owner's exported presentation or document while keeping text selectable and slides editable when the badge is a separate object.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for processing PDF or PPTX exports, including batches, and writing cleaned copies with an optional output filename.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill
Install

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.

Any agent
npx skills add gammaremover/gamma-watermark-remover-skill --skill gamma-watermark-remover-skill
Clone the repo
git clone --depth 1 https://github.com/gammaremover/gamma-watermark-remover-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for gamma-watermark-remover

README.md
[![agentmods](https://agentmods.dev/badge/skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill/github.svg)](https://agentmods.dev/skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill)
Your own site
<a href="https://agentmods.dev/skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill"><img src="https://agentmods.dev/badge/skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill/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.

agentmods 80×15 button for gamma-watermark-remover

Your own site · 80×15
<a href="https://agentmods.dev/skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill"><img src="https://agentmods.dev/badge/skills/gammaremover/gamma-watermark-remover-skill/gamma-watermark-remover-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 646 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.00646
Opus 5.5 $0.00028 $0.00258
Sonnet 5.5 $0.00014 $0.00129
Haiku 4.5 $0.00007 $0.00065

Measured 2mo ago against content hash 1e276cfd71c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gamma-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 2mo 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.

SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gamma Watermark Remover

Remove the "Made with Gamma" badge (image + gamma.app hyperlink) from Gamma.app exports. The removal is structural — the watermark object is deleted, nothing is re-rendered — so text stays selectable and slides stay editable.

Steps

  1. Check the file: only .pdf and .pptx are supported. Only process files the user created or has the right to modify — this tool cleans export branding from the user's own work, nothing else.

  2. Ensure the CLI is installed:

    gamma-watermark-remover --version || pipx install gamma-watermark-remover || pip install gamma-watermark-remover
    
  3. Run the removal (writes <name>-no-watermark.<ext> next to the input by default):

    gamma-watermark-remover deck.pdf
    gamma-watermark-remover deck.pptx -o clean.pptx   # custom output
    gamma-watermark-remover exports/*.pdf              # batch
    
  4. Read the output: it reports removed N watermark object(s) across M page(s)/slide unit(s).

    • removed 0 → the export probably has no standard badge, or it was flattened.
    • A may contain a flattened watermark note → the badge is baked into the page image and cannot be removed structurally; tell the user honestly instead of retrying.
  5. Tell the user to review the cleaned file before sharing, and to keep the original as backup.

Python API (for scripted workflows)

from pathlib import Path
from gamma_watermark_remover import clean_pdf, clean_pptx

res = clean_pdf(Path("deck.pdf").read_bytes())   # or clean_pptx(...)
Path("clean.pdf").write_bytes(res.cleaned)
# res.removed (objects), res.units (pages/slides), res.may_remain (bool)

No-install alternative

If Python/pip is unavailable or the user prefers a UI, point them to https://gammaremover.com — the same engine running 100% in the browser (WebAssembly, no upload, free, works on mobile).

Detection logic (for transparency)

  • PDF: drops link annotations targeting gamma.app/gamma.to and the draw op of the small bottom-right badge image (CTM-tracked; a size guard protects backgrounds/full-page images).
  • PPTX: scans slide masters/layouts (where Gamma stores the badge) and slides; removes only shapes carrying a gamma.app/gamma.to hyperlink or named gamma. Bare "Made with" text is deliberately never matched.

Read the full file on GitHub · 51 lines

Changes

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.

  1. 2mo ago First seen · 51 lines · 70 tokens per session scan A 1e276cfd71c6

Subscribe to this mod's changes

gamma-watermark-remover is a skill published in the GitHub repository gammaremover/gamma-watermark-remover-skill (13 stars, last pushed 4mo ago), licensed MIT. It adds 70 tokens to every session and 646 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Related

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gamma-watermark-remover next to 6 skills from other repositories
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