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100/100 (Very Low)

OpenClaw: benign
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Paper Deep Reader

作者: SoymilkWinsAgain
Slug:paper-deep-reader
版本:2.1.0
更新时间:2026-03-26 17:27:01
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OpenClaw: benign

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The skill is internally coherent: it provides a protocol and local helper scripts for producing detailed paper-reading notes, requests no credentials, has no install step, and does not contain obvious...

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原始 JSON 数据
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    "latestVersion": {
        "_creationTime": 1774514990481,
        "_id": "k975fvvh4zyy586wpyjyy3vqsn83mjb7",
        "changelog": "**Expanded support and structure for diverse research paper types.**\n\n- Added detailed adapters for benchmark, dataset, replication, and synthesis papers, broadening supported paper types.\n- Introduced more targeted evidence checklists (e.g., for ablation, reproducibility, proof rigor, benchmarking fairness).\n- Updated routing and execution protocol: require explicit selection of one primary adapter plus up to three relevant evidence packs per paper.\n- Enhanced instructions for reading, mapping, and routing papers, with emphasis on identifying main intellectual load and failure risks.\n- Rewrote core rules for clarity, including process for cases where papers are surveys, syntheses, or have complex contributions.\n- Removed obsolete ML-specific adapters and checklists, replacing them with finer-grained alternatives.",
        "changelogSource": "user",
        "createdAt": 1774514990481,
        "parsed": {
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        "version": "2.1.0"
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        "displayName": "SoymilkWinsAgain",
        "handle": "soymilkwinsagain",
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        "kind": "user",
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    "ownerHandle": "soymilkwinsagain",
    "skill": {
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        "_id": "kd76v932satpb7xsjf1rfw3gj5839tnp",
        "badges": [],
        "createdAt": 1773992721021,
        "displayName": "Paper Deep Reader",
        "latestVersionId": "k975fvvh4zyy586wpyjyy3vqsn83mjb7",
        "ownerPublisherId": "s17byp4d6a0a0ag8ke3ng8xmq183hkvt",
        "ownerUserId": "kn77e9apbw6nxzbdb2r5p9qkv182fq22",
        "slug": "paper-deep-reader",
        "stats": {
            "comments": 0,
            "downloads": 101,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 1,
            "versions": 3
        },
        "summary": "Very helpful in deep-reading one selected research paper, journal article, arXiv paper, working paper, technical report, benchmark paper, dataset paper, repl...",
        "tags": {
            "latest": "k975fvvh4zyy586wpyjyy3vqsn83mjb7"
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        "updatedAt": 1774517221484
    }
}