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Victor KuznetsovandClaude Opus 5
2bc37738d9
`skills/remove-ai-watermarks/` teaches a coding agent to drive the CLI on content the user generated, and refuses stock-agency and other third-party paid-asset marks. It ships with this repository rather than as a fifth release surface, and installs through `npx skills add` in any harness or as a Claude plugin from `.claude-plugin/marketplace.json`. `scripts/probe.py` measures capability rather than presence: a found binary said nothing about whether the build can run a visible-mark command, so it writes a blank PNG with zlib and struct and runs the installed `visible` and `invisible` on it. Exit 2 is a state only a working stack reaches, and `invisible` checks its extra before detection, so a signal-free image answers in 0.23s with no model download. That distinction matters: without CUDA, `all` writes nothing with the invisible extra installed and writes a useful visible+metadata result without it, and both exit 1. The skill also carries what a weak model gets wrong. It must report only what a command in the session actually did, because a run on a machine with no pixel stack produced a finished-looking removal report, complete with a size table for a file nobody wrote. It must not read exit 2 as a verdict, because Click's usage errors share that code. And it must get explicit consent before `verify-openai-synthid`, which uploads the user's image to a third party. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>