blackbird-agency / hyva-algolia-search

每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。

每个点涵盖 2 天。

来自 GitHub 依赖图的完整解析依赖集合：5 个直接依赖与 1 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。

本报告未能完成公告比对：No resolved dependencies carried a version and a supported ecosystem

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          {
            "name": "Dangerous-Workflow",
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            "reason": "no workflows found",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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          {
            "name": "Dependency-Update-Tool",
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            "reason": "no update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
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            "notes": [],
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            "inputs": {
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            "notes": [],
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        "weight": 0.23,
        "metrics": [
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                ],
                "max_points": 35
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              {
                "key": "version_history",
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                "points": 20,
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                "key": "not_deprecated",
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                "points": 20,
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        ],
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        ],
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        "key": "security",
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        "metrics": [
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            "key": "security_posture",
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            "notes": [
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                "key": "code_review",
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                "status": "partial",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "key": "license",
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                "status": "met",
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                "key": "maintained",
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                "status": "partial",
                "details": [],
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                "status": "excluded",
                "details": [
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                "key": "pinned_dependencies",
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                "status": "excluded",
                "details": [
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                "key": "sast",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "points": 0,
                "status": "excluded",
                "details": [
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                "max_points": 7.5
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                "key": "vulnerabilities",
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            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
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            "value": 100,
            "inputs": {
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              "policy_countries": [
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                "Iran",
                "North Korea"
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              "commit_weight_rule": {
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              "assessed_self_published_locations": 9
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                "key": "policy_exposure_multiplier",
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                "status": "met",
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        "key": "ai_readiness",
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            "note": null,
            "notes": [],
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            "inputs": {
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                "key": "machine_readable_docs_llms_txt",
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                "points": 28.5,
                "status": "partial",
                "details": [
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                    "code": "legible_history",
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                "max_points": 40
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            ]
          },
          {
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            "notes": [
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                "code": "excluded_no_data",
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            "value": 1,
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                "points": 0,
                "status": "missed",
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                "status": "missed",
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                    "code": "no_agent_authored_commits",
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                "key": "automated_maintenance",
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                    "code": "no_dependency_automation",
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                "max_points": 8
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                "key": "openssf_scorecard_pinned_dependencies",
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              "largest_source_bytes": 51194,
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              "oversized_source_files": 0
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        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
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}