45 lines
1.5 KiB
JSON
45 lines
1.5 KiB
JSON
{
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"$schema": "internal://schemas/plugin.lock.v1.json",
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"pluginId": "gh:hugoduncan/mcp-vector-search:.claude-plugin/plugins/embed-guide",
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"normalized": {
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"repo": null,
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"ref": "refs/tags/v20251128.0",
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"commit": "b121256139a7187aa2e909950e8e36ae0e173f26",
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"treeHash": "27169d628e946e89db27feb08bf0a5b27fc5d4af8bd54a180895040d42e1ac0e",
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"generatedAt": "2025-11-28T10:17:37.277603Z",
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"toolVersion": "publish_plugins.py@0.2.0"
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},
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"origin": {
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"remote": "git@github.com:zhongweili/42plugin-data.git",
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"branch": "master",
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"commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
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"repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
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},
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"manifest": {
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"name": "embed-guide",
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"description": "Guide for embedding mcp-vector-search as a library in MCP servers",
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"version": "1.0.0"
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},
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"content": {
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"files": [
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{
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"path": "README.md",
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"sha256": "3f1410f339a6478798c944a931f912f05c0d09d91a11f068084eef408a6a7b68"
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},
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{
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"path": ".claude-plugin/plugin.json",
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"sha256": "32518bc566369dee1f5513eaf78b94ad4b88f018e4020e1d9a7dfa9ef796df4b"
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},
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{
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"path": "skills/mcp-vector-search-embed-guide/SKILL.md",
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"sha256": "11963f6ce066d9141c6e58892fadce4ddd5b01232708f71fe73b64d9f70c4333"
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}
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],
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},
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"security": {
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"scannerVersion": null,
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"flags": []
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}
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} |