94/100 (Very Low)

OpenClaw： benign
VirusTotal： benign
StaticScan： unknown

OpenClaw： benign

The skill's files, declared purpose, and runtime instructions are consistent: it validates and canonicalizes documents locally and the bundled scripts match the stated functionality, with no apparent ...

[内容已截断]

VirusTotal： benign VT 报告

静态扫描： unknown

README 未提供

{
    "latestVersion": {
        "_creationTime": 1772454280657,
        "_id": "k97am9m25bfj9cvkz6qf49vvk9825n4r",
        "changelog": "## v2.1.3 (2026-03-02)\n\n### Fixed\n- `document_hash.py` now implements full FORMAT_SPEC §2.1-2.4 compliance\n- Fence-aware end marker detection (Quine Protection per §2.3\/§8.5)\n- All deployment copies converged to single canonical implementation\n\n### Added\n- `canonicalize()`: trailing whitespace stripping, newline collapsing (3+→2), final newline normalization, UTF-8 NFC normalization\n- Hash window extraction between `---\\n` and ``\n- YAML-aware `document-sha256` removal with multiline continuation support (§2.2)\n- `find_end_marker()`: fence-tracking for Quine Protection — markers inside fenced code blocks are correctly ignored\n- 7 new test vectors for fence-aware detection (15 total)\n\n### Why\nResolves ClawHub\/OpenClaw \"Suspicious\" finding: the previous implementation only did BOM removal + CRLF normalization, missing 5 of 7 canonicalization steps declared in SKILL.md and FORMAT_SPEC. Implementation now matches spec exactly.",
        "changelogSource": "user",
        "createdAt": 1772454280657,
        "parsed": {
            "clawdis": {
                "author": "Francesco Marinoni Moretto"
            }
        },
        "version": "2.1.3"
    },
    "owner": {
        "_creationTime": 0,
        "_id": "publishers:missing",
        "displayName": "Francesco Marinoni Moretto",
        "handle": "frmoretto",
        "image": "https:\/\/avatars.githubusercontent.com\/u\/47558125?v=4",
        "kind": "user",
        "linkedUserId": "kn7712gz5gc9pr8qr8ybxgq63981jghf"
    },
    "ownerHandle": "frmoretto",
    "skill": {
        "_creationTime": 1771790554541,
        "_id": "kd7f6hrjanb40qphe8rcqfzz6n81m69s",
        "badges": [],
        "createdAt": 1771790554541,
        "displayName": "Clarity Gate",
        "latestVersionId": "k97am9m25bfj9cvkz6qf49vvk9825n4r",
        "ownerUserId": "kn7712gz5gc9pr8qr8ybxgq63981jghf",
        "slug": "clarity-gate",
        "stats": {
            "comments": 0,
            "downloads": 408,
            "installsAllTime": 0,
            "installsCurrent": 0,
            "stars": 0,
            "versions": 2
        },
        "summary": "Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clar...",
        "tags": {
            "latest": "k97am9m25bfj9cvkz6qf49vvk9825n4r"
        },
        "updatedAt": 1772454296685
    }
}