remove-ai-marks

remove-ai-marks is a skill for Claude Code, Codex from AndreyTsibin/mcp-super-app-public. It costs 224 tokens per session (3,175 once invoked), scanned A, original, no licence file.

A tool for removing hidden characters, statistical text marks, and file metadata that can identify content as AI-generated.

In plain words
What is it for?
Cleaning Unicode marks, optionally rewriting text to remove statistical watermarks, and removing C2PA, EXIF, XMP, and container metadata from supported file types.
Why use it?
It addresses provenance marks that may remain in text, images, documents, web files, or other exported content.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Cleaning Unicode marks, optionally rewriting text to remove statistical watermarks, and removing C2PA, EXIF, XMP, and container metadata from supported file types.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andreytsibin/mcp-super-app-public/remove-ai-marks
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 AndreyTsibin/mcp-super-app-public --skill remove-ai-marks
Clone the repo
git clone --depth 1 https://github.com/AndreyTsibin/mcp-super-app-public

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 remove-ai-marks

README.md
[![agentmods](https://agentmods.dev/badge/skills/andreytsibin/mcp-super-app-public/remove-ai-marks/github.svg)](https://agentmods.dev/skills/andreytsibin/mcp-super-app-public/remove-ai-marks)
Your own site
<a href="https://agentmods.dev/skills/andreytsibin/mcp-super-app-public/remove-ai-marks"><img src="https://agentmods.dev/badge/skills/andreytsibin/mcp-super-app-public/remove-ai-marks/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 remove-ai-marks

Your own site · 80×15
<a href="https://agentmods.dev/skills/andreytsibin/mcp-super-app-public/remove-ai-marks"><img src="https://agentmods.dev/badge/skills/andreytsibin/mcp-super-app-public/remove-ai-marks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 224 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,175 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00224 $0.03175
Opus 5.5 $0.00090 $0.01270
Sonnet 5.5 $0.00045 $0.00635
Haiku 4.5 $0.00022 $0.00317

Measured 1mo ago against content hash b022a144c6d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

remove-ai-marks 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 1mo 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.

Python, venvs, or cleaning tools. Call the service with `curl`; never run
assets/skills/remove-ai-marks/SKILL.md · 293 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

7 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.

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. 1mo ago Changed · +5 lines · +88 tokens per session b022a144c6d0
  2. 1mo ago First seen · 288 lines · 136 tokens per session scan A 3f128e0cbd77

Subscribe to this mod's changes

remove-ai-marks is a skill published in the GitHub repository AndreyTsibin/mcp-super-app-public (2 stars, last pushed 26d ago), with no licence file. It adds 224 tokens to every session and 3,175 once invoked, about $0.0009 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens