remove-ai-marks

# Remove AI marks Hygiene for **text** (Unicode + statistical rewrite) and **files** (C2PA / AI metadata on common containers). Read when needed: - `references/mark-classes.md` — Unicode / sampling / C2PA / containers - `references/vendor-notes.md` — Claude, Gemini/SynthID, OpenAI, open-LLM - `references/removal-matrix.md` — which layer when - `references/ethics.md` — intended use - `references/how-claude-marks.md` — Anthropic-specific detail - `references/markdiffusion.md` — optional MarkDiffusion image harness This skill is a **thin HTTP client**. All deterministic cleaning lives in this repo’s `service/`. The agent host does not need Python, venvs, or cleaner binaries. Call the service with `curl`. Never run cleaning scripts on the host. ## Reach the service Base URL: `WATERMARKS_SERVICE_URL`, default `http://127.0.0.1:8765`. ```bash WM="${WATERMARKS_SERVICE_URL:-http://127.0.0.1:8765}" ``` The operator starts it (`docker compose up -d`, a published image, or `make serve`). **Probe it first.** If it is down, stop with a clear message — do **not** fall back to local cleaning: ```bash curl -sf "$WM/health" # {"ok": true, "version": "..."} ``` If `WATERMARKS_SERVER_API_KEY` is set on the service, every request needs `-H "Authorization: Bearer $WATERMARKS_SERVICE_API_KEY"`. ### Capabilities ```bash curl -s "$WM/capabilities" ``` Tells you which optional tools exist server-side (`c2patool`, `exiftool`, `qpdf`, `ghostscript`), which scorers are live (`scorers.stylom...