mirror of
https://github.com/wiltodelta/remove-ai-watermarks.git
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Victor KuznetsovandClaude Opus 5.5
06c0cb1bbe
- .codex-plugin/plugin.json and assets/icon.svg package the existing skill tree for Codex plugin catalogs; skill version 1.0.12 across all manifests - `remove-ai-watermarks mcp` serves identify, remove and batch over stdio, one CLI command per tool call, standard library only; server.json and glama.json for the MCP registry and Glama - Pin every GitHub Action to a commit SHA - Call module.train(False) instead of module.eval(), which plugin scanners read as dynamic code execution Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
65 lines
2.0 KiB
YAML
65 lines
2.0 KiB
YAML
name: Publish source classifier to Hugging Face
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# Manual only. The derivative model weights live in a GitHub model-freeze
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# release; the private training corpus and caches never enter this repository.
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on:
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workflow_dispatch:
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inputs:
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confirm:
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description: "Type publish"
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required: true
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weights_tag:
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description: "GitHub Release tag holding source-pipeline-mlp.npz"
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required: true
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default: source-classify-freeze-2026-09-16-r2
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jobs:
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publish:
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if: ${{ github.event.inputs.confirm == 'publish' }}
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runs-on: ubuntu-latest
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timeout-minutes: 15
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permissions:
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contents: read
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steps:
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- uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
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- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
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with:
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python-version: "3.12"
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- name: Download derivative model weights
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env:
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GH_TOKEN: ${{ github.token }}
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TAG: ${{ github.event.inputs.weights_tag }}
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run: |
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set -euo pipefail
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mkdir -p weights
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gh release download "$TAG" \
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--repo "${{ github.repository }}" \
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--pattern source-pipeline-mlp.npz \
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--dir weights
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test -s weights/source-pipeline-mlp.npz
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- name: Verify the frozen artifact
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run: |
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set -euo pipefail
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expected="$(jq -r .artifact_sha256 docs/source-classify-hf/metrics.json)"
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test "${#expected}" -eq 64
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echo "$expected weights/source-pipeline-mlp.npz" | sha256sum --check
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- name: Publish to Hugging Face
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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SHA: ${{ github.sha }}
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run: |
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set -euo pipefail
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if [ -z "${HF_TOKEN:-}" ]; then
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echo "HF_TOKEN secret is not set" >&2
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exit 1
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fi
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uv run --no-project --with huggingface-hub \
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python scripts/publish_source_classify_hf.py \
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--src weights \
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--message "Source-classify freeze (GitHub ${SHA:0:7})"
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