公开记录
软件健康报告模式 0.11.0 · 指标 1.13.0 · 2026-07-17 08:49 UTC

PrimeIntellect-ai / prime

Official CLI and Python SDK for Prime Intellect - access GPU compute, remote sandboxes, RL environments, and distributed training infrastructure for AI development at scale.

PythonMIT★ 223 星标⑂ 49 复刻始于 2024年12月在 GitHub 上查看 ↗

PrimeIntellect-ai/prime 的健康指数为 100 分中的 72 分,处于「良好」区间。 其得分最高的类别是Vitality(95/100),最低的是AI Readiness(46/100)。 最近一次更新在今天。 近期的大部分工作由 2 位贡献者完成。

72
总分 / 100
良好

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 49(有风险)的上限。AI 就绪度不计入总体分。

72
优秀85-100堪称典范;基本满足所有检验标准
良好70-84健康;仅有轻微不足
中等50-69可接受,但存在明显不足;建议进行审查
存在风险30-49存在重大薄弱环节;采用时应保持审慎
危急1-29问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

所有权

920 关注者59 个公开仓库始于 2023年10月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

按类别列示的指标

活力

项目是否仍有生命——是否仍在编写代码,是否仍在发布版本?

95优秀 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
34.6/36提交节奏 — 52 周中有 50 周有提交
18/18提交量 — 最近一年 579 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year579
human_commit_share
days_since_last_push0
active_weeks_last_year50

发布纪律

90优秀
评分方式
27/27有发布版本 — 已发布 100 个发布版本
36/36发布时效 — 最近一次发布版本于 0 天前
27/27发布节奏 — 约每 6.4 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — Project has not signed or included provenance with any releases.
所用输入
releases_count100
latest_release_tagv0.6.18
releases_from_tags
days_since_latest_release0
mean_days_between_releases6.4

社区与采用

项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?

53中等 · 占总体的 18%
评分方式
38.1/60星标 — 223 个星标
14/25复刻 — 49 个复刻
3.9/15关注者 — 6 位关注者
所用输入
forks49
stars223
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

50中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?

71良好 · 占总体的 24%
评分方式
25.2/54巴士系数 — 2 位贡献者贡献了半数提交
13.2/22.5提交分布 — 头号贡献者编写了 41% 的提交
13.5/13.5贡献者广度 — 31 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 5 contributing companies or organizations
所用输入
bus_factor2
contributors_sampled31
top_contributor_share0.413
评分方式
38.7/46.8议题解决 — 83% 的议题已关闭
31/38.3PR 接受 — 已裁定的 PR 中 590/729 已合并
13.5/15OpenSSF Scorecard:Code-Review — Found 27/30 approved changesets -- score normalized to 9
所用输入
merged_prs590
open_issues5
closed_issues24
issue_closed_ratio0.828
closed_unmerged_prs139
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
21.3/25所有者影响力 — PrimeIntellect-ai 有 920 位关注者
18.5/25既往记录 — 59 个公开仓库,账户约 2 年
所用输入
followers920
owner_typeOrganization
is_verified
owner_loginPrimeIntellect-ai
public_repos59
account_age_days1,005

工程质量

基础的工程与文档实践是否到位?

76良好 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 6 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

50中等
评分方式
30/30README
0/25文档目录
0/15文档 / 主页站点
10/10仓库描述
0/10主题标签
10/10Wiki
所用输入
topics
has_wiki
homepage
has_readme
has_docs_dir
has_description

安全

可见的安全与供应链实践是否稳固,且不存在未解决的高风险司法辖区暴露?

57中等 · 占总体的 16%

安全态势

57中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 27/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 75 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.7

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件?这是一枚独立的实验性徽章——权重为 0.0,因此单独呈现,不影响总体健康评分。

46存在风险 · 占总体的 0%
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档(llms.txt)
0/40可读的提交历史 — 无数据
所用输入
has_llms_txt
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
已排除计分(无数据或不适用):可读的提交历史。 其余权重已重新归一化。
评分方式
0/18一条命令的引导启动
22/22自动化测试
11/11Lint / 格式化配置
11/11静态类型检查 — packages/prime-evals/src/prime_evals/py.typed, packages/prime-sandboxes/src/prime_sandboxes/py.typed, packages/prime-tunnel/src/prime_tunnel/py.typed, packages/prime/src/prime_cli/py.typed
10/10可复现环境 — Dockerfile, lockfile
0/10已体现的代理实践 — 无数据
0/8自动化维护 — 无数据
2/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
所用输入
has_nix
has_tests
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configspackages/prime-evals/src/prime_evals/py.typed, packages/prime-sandboxes/src/prime_sandboxes/py.typed, packages/prime-tunnel/src/prime_tunnel/py.typed, packages/prime/src/prime_cli/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
已排除计分(无数据或不适用):已体现的代理实践, 自动化维护。 其余权重已重新归一化。
评分方式
27/45可类型检查的代码 — Python,已配置类型检查(packages/prime-evals/src/prime_evals/py.typed, packages/prime-sandboxes/src/prime_sandboxes/py.typed, packages/prime-tunnel/src/prime_tunnel/py.typed, packages/prime/src/prime_cli/py.typed)
52.5/55可控的文件大小 — 采样的 219 个源文件中有 10 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes275,849
source_files_sampled219
oversized_source_files10

机器可读接口

40存在风险
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
0/20MCP 服务器
40/40可运行示例 — examples
所用输入
example_dirsexamples
has_mcp_signal
api_schema_files

关键数据

223GitHub 星标
31贡献者
579最近 12 个月提交数
0距最近推送天数
100发布版本数
2巴士系数(bus factor)
5开放议题
PyPI软件包生态系统数

更多细节

OpenSSF Scorecard 5.7 / 10
5.7综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。Scorecard v5.5.0 · 2026-07-17 08:48 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 27/30 approved changesets -- score normalized to 9
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
8Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities75 existing vulnerabilities detected
全部依赖 193

来自 GitHub 依赖图的完整解析依赖集合:0 个直接依赖与 193 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。

注册表软件包版本关系
PyPIaiofiles间接
PyPIaiofiles25.1.0间接
PyPIaiohappyeyeballs2.6.1间接
PyPIaiohttp3.12.15间接
PyPIaiohttp3.13.0间接
PyPIaiolimiter1.2.1间接
PyPIaiosignal1.4.0间接
PyPIannotated-types0.7.0间接
PyPIanthropic0.95.0间接
PyPIantlr4-python3-runtime4.13.2间接
PyPIanyio4.11.0间接
PyPIasync-timeout5.0.1间接
PyPIattrs25.3.0间接
PyPIattrs25.4.0间接
PyPIbuild间接
PyPIbuild1.3.0间接
PyPIcertifi2025.10.5间接
PyPIcertifi2025.8.3间接
PyPIcffi2.0.0间接
PyPIcfgv3.4.0间接
PyPIcharset-normalizer3.4.3间接
PyPIclick8.2.1间接
PyPIclick8.3.0间接
PyPIcolorama0.4.6间接
PyPIconnect-python间接
PyPIconnect-python0.8.1间接
PyPIcryptography间接
PyPIcryptography46.0.1间接
PyPIcryptography46.0.2间接
PyPIdatasets4.1.1间接
PyPIdatasets4.2.0间接
PyPIdill0.4.0间接
PyPIdistlib0.4.0间接
PyPIdistro1.9.0间接
PyPIdocstring-parser0.17.0间接
PyPIexceptiongroup1.3.0间接
PyPIexecnet2.1.1间接
PyPIfilelock3.19.1间接
PyPIfilelock3.20.0间接
PyPIfrozenlist1.7.0间接
PyPIfrozenlist1.8.0间接
PyPIfsspec2025.9.0间接
PyPIgepa0.0.27间接
PyPIgitignore-parser间接
PyPIgitignore-parser0.1.13间接
PyPIgriffe1.14.0间接
PyPIh110.16.0间接
PyPIhatchling间接
PyPIhf-xet1.1.10间接
PyPIhttpcore1.0.9间接
PyPIhttpx间接
PyPIhttpx0.28.1间接
PyPIhttpx-sse0.4.1间接
PyPIhttpx-sse0.4.3间接
PyPIhuggingface-hub0.35.3间接
PyPIidentify2.6.14间接
PyPIidentify2.6.15间接
PyPIidna3.10间接
PyPIimportlib-metadata8.7.0间接
PyPIiniconfig2.1.0间接
PyPIjinja23.1.6间接
PyPIjiter0.11.0间接
PyPIjsonschema4.25.1间接
PyPIjsonschema-specifications2025.9.1间接
PyPIlatex2sympy2-extended1.10.2间接
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PyPImarkdown-it-py4.0.0间接
PyPImarkupsafe3.0.3间接
PyPImath-verify0.8.0间接
PyPImcp1.15.0间接
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PyPIplatformdirs4.5.0间接
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PyPIprime0.4.0间接
PyPIprime-evals间接
PyPIprime-pydantic-config0.3.0.dev86间接
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PyPIpython-dateutil2.9.0.post0间接
PyPIpython-dotenv1.1.1间接
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PyPIpytz2025.2间接
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PyPIpyyaml间接
PyPIpyyaml6.0.3间接
PyPIpyzmq27.1.0间接
PyPIreferencing0.36.2间接
PyPIregex2026.3.32间接
PyPIrenderers0.1.8.dev57间接
PyPIrequests2.32.5间接
PyPIrich间接
PyPIrich14.1.0间接
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PyPIrpds-py0.27.1间接
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PyPIruff0.13.2间接
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PyPIsafetensors0.8.0间接
PyPIsetproctitle1.3.7间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsniffio1.3.1间接
PyPIsse-starlette3.0.2间接
PyPIstarlette0.48.0间接
PyPIsympy1.14.0间接
PyPItenacity间接
PyPItenacity9.1.2间接
PyPItextual间接
PyPItextual6.1.0间接
PyPItextual6.2.1间接
PyPItextual-hires-canvas0.14.0间接
PyPItextual-plot间接
PyPItextual-plot0.10.1间接
PyPItiktoken0.13.0间接
PyPItokenizers0.22.2间接
PyPItoml间接
PyPItoml0.10.2间接
PyPItomli间接
PyPItomli2.2.1间接
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PyPItomli-w1.2.0间接
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PyPIty0.0.1a21间接
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PyPItyping-inspection0.4.2间接
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PyPIvirtualenv20.34.0间接
PyPIvirtualenv20.35.3间接
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原始 JSON 报告 机器可读
{
  "data": {
    "repo": {
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      "created_at": "2024-12-29T17:23:04Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-16T15:53:25Z",
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                "key": "issue_template",
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                "key": "commit_distribution",
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                "key": "openssf_scorecard_contributors",
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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                "key": "owner_reach",
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                "key": "openssf_scorecard_ci_tests",
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                "key": "wiki",
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        ],
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                "key": "fuzzing",
                "name": "Fuzzing",
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              {
                "key": "license",
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              {
                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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                "key": "pinned_dependencies",
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                "key": "security_policy",
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                "detail": "security policy file not detected",
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              },
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                "key": "signed_releases",
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                "key": "token_permissions",
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                "key": "vulnerabilities",
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            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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            "value": 100,
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              "review_only_matches": 0,
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            "components": [
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                "key": "policy_exposure_multiplier",
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                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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                "status": "missed",
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                "key": "machine_readable_docs_llms_txt",
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            "inputs": {
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                ],
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          },
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            "notes": [],
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T08:49:01.018172Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PrimeIntellect-ai/prime.svg",
  "full_name": "PrimeIntellect-ai/prime",
  "license_state": "standard",
  "license_spdx": "MIT"
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.11.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计.