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Agent Skill · 研究检索

fusion-dependency-review(融合依赖性审查)

fusion-dependency-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

fusion-dependency-review 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 14,818。

总安装 8,279周安装 352GitHub Stars 公开资料未说明下载 2,980核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fusion-dependency-review(融合依赖性审查)
来源仓库:https://github.com/equinor/fusion-skills
仓库路径:skills/fusion-dependency-review
安装命令:
npx skills add https://github.com/equinor/fusion-skills --skill fusion-dependency-review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/equinor/fusion-skills --skill fusion-dependency-review

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找依赖包审查与安全评估相关资料。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适合在引入第三方库时核查许可证与漏洞风险。可结合 npm 或 NuGet 生态了解常见维护状态指标。建议在锁定版本前进行人工二次确认与测试验证。

fusion-dependency-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/fusion-dependency-review

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/equinor/fusion-skills --skill fusion-dependenc…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

fusion-dependency-review 怎么安装?

在终端执行 npx skills add https://github.com/equinor/fusion-skills --skill fusion-dependency-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fusion-dependency-review 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

fusion-dependency-review 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

fusion-dependency-review 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

fusion-dependency-review 用的人多吗?

公开数据是累计安装 8,279 次,近一周安装 352 次,下载 2,980 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

fusion-dependency-review 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
fusion-dependency-review

融合依赖性审查 · 本页

8,279—调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Dependency Review

Structured review workflow for dependency update PRs. Produces consistent research notes that incorporate existing PR discussion, multi-lens analysis, and an actionable verdict with explicit maintainer confirmation before any merge action.

When to use

Use this skill when a dependency PR needs review and you want a consistent, auditable decision process.

Typical triggers:

  • "Review this dependency PR"
  • "Should we merge this dependency update?"
  • "Check this Renovate/Dependabot PR"
  • "Review one of our open dependency PRs"
  • "What changed in this library bump?"
  • "Is this dependency update safe to merge?"
  • A PR title contains dependency update patterns (for example chore(deps):, fix(deps):, bump, update)
  • The user shares a PR URL for a dependency update

When not to use

Do not use this skill for:

  • Feature PRs or application code reviews (use standard code review workflows)
  • Dependency automation or bot configuration
  • Approving/merging without explicit user confirmation
  • Deciding organizational dependency policy

Required inputs

Collect before starting the review:

  • Repository owner and name
  • PR number or URL for the dependency update, or a copied PR summary that includes package name, version change, changed files, and CI status
  • Optional: specific review concerns or areas of focus from the maintainer

If required details are missing, ask concise clarifying questions from references/questions.md.

If the PR target is missing or ambiguous:

  • Ask only the minimal follow-up question needed to identify the target PR.
  • When repository context is known, use GitHub MCP to list likely open dependency PRs and let the user choose instead of guessing.
  • Keep the shortlist concise and decision-friendly: include PR number, title, dependency/package hint, author, and CI state when available.

Auto-extract from the PR when available:

  • Package(s) being updated and version range (from → to)
  • Changelog/release notes URL
  • CI status
  • Changed files and dependency ecosystem
  • Existing top-level PR comments, review comments, and unresolved thread state

Instructions

Preferred advisor orchestration

When the runtime supports skill-local advisors, prefer this execution shape instead of a single long linear pass:

  1. Run agents/target-pr-advisor.md first when the PR target is missing or ambiguous so the review starts from one explicit dependency PR.
  2. Run agents/research-advisor.md to normalize the PR context, existing discussion, source list, and research notes.
  3. Fan out the lens advisors in parallel with the same normalized inputs:
  • agents/security-advisor.md
  • agents/code-quality-advisor.md
  • agents/impact-advisor.md
  1. Chain the combined research and lens outputs into agents/verdict-advisor.md for recommendation, confidence, handoff, and confirmation wording.
  2. Chain into agents/source-control-advisor.md only if the accepted next step requires PR patching, rebase, conflict resolution, or merge-readiness work.

Keep the lens advisors narrow and independent. The parent skill owns the unified review and should preserve disagreement between advisors instead of flattening it early.

Workflow summary

  1. Resolve the target PR with agents/target-pr-advisor.md and the concise prompts in references/questions.md.
  2. Gather context and build the shared evidence packet with agents/research-advisor.md, assets/review-tracker.md, and assets/research-template.md.
  3. Run agents/security-advisor.md, agents/code-quality-advisor.md, and agents/impact-advisor.md in parallel with the same normalized research packet.
  4. Use agents/verdict-advisor.md to produce the recommendation, confidence, follow-up, and explicit maintainer prompt.
  5. Use agents/source-control-advisor.md only after the verdict is accepted and only when branch work is required.
  6. Follow references/instructions.md for the detailed live-PR contract: target selection, checkpoint comments, decision gates, and handoff timing.

Assets

  • assets/research-template.md: research-comment structure for change summary, breaking changes, known issues, and sources
  • assets/verdict-template.md: verdict structure for lens assessments, recommendation, confidence, and follow-up items
  • assets/review-tracker.md: working checklist and tracker for context, validation, lens outcomes, and handoff decisions

References

  • references/instructions.md: detailed execution contract for target selection, live-PR checkpoints, and decision sequencing
  • references/questions.md: concise follow-up questions for choosing the target dependency PR and scoping the review

Advisors

  • agents/target-pr-advisor.md: resolves the exact dependency PR to review or returns a shortlist for user selection
  • agents/research-advisor.md: first pass; builds the shared evidence packet for all later advisors
  • agents/security-advisor.md: parallel lens pass; checks security posture and attack-surface changes
  • agents/code-quality-advisor.md: parallel lens pass; checks upstream stability, regressions, and API drift
  • agents/impact-advisor.md: parallel lens pass; checks repository blast radius, CI, and follow-up work
  • agents/verdict-advisor.md: chained synthesis pass; turns research and lens outputs into one decision
  • agents/source-control-advisor.md: conditional final pass; handles rebase, sync, validation reruns, and push safety when patching the PR

If helper advisors are unavailable, follow the same orchestration inline: research first, lenses next, verdict after that, and source-control last only when mutation is needed.

Expected output

If the PR target is unresolved, return:

  • A concise shortlist of candidate dependency PRs when live PR search is available
  • The minimal follow-up question required to let the user choose the correct PR
  • Explicit status: Awaiting user PR selection

If the PR target is resolved, return a structured review containing:

  • Package name, version change, and update type
  • Existing PR discussion summary (top-level comments, review-thread themes, unresolved concerns)
  • Research summary (changelog highlights, breaking changes, known issues)
  • Security assessment with evidence
  • Code quality assessment with evidence
  • Impact assessment with evidence
  • Verdict: recommendation, rationale, confidence, and follow-up items
  • Handoff recommendation when follow-up work should become a tracked issue
  • Explicit action prompt for the maintainer

Safety & constraints

  • This skill is mutation-capable. Repository-local workflow instructions take precedence over inline guidance when they conflict.

Never:

  • Merge or approve a dependency PR without explicit user confirmation
  • Create a merge commit by merging the base branch into a Dependabot or Renovate PR branch
  • Guess which PR to review when multiple plausible dependency PRs exist
  • Skip the research checkpoint comment or final verdict comment on a live PR
  • Ignore existing reviewer concerns because they are inconvenient or duplicative
  • Claim CI passed or security is clear without checking actual status
  • Expose secrets or tokens in comments or logs
  • Dismiss security concerns for convenience
  • Fabricate changelog entries or version details not found in sources

Always:

  • Ask minimal follow-up questions when the target PR is missing or ambiguous
  • Present evidence for each assessment (link to changelog, CVE, CI status)
  • List candidate dependency PRs for user selection when repository context exists but the PR target does not
  • Fetch existing PR comments and review threads via GitHub MCP before analysis on a live PR
  • Reuse one shared research packet across advisors instead of rediscovering the same facts in each pass — this includes PR metadata, changed files, CI status, and existing discussion
  • Do not re-fetch PR comments or review threads independently in each advisor; pass the pre-fetched data from the research advisor to all lens advisors
  • Prefer parallel lens analysis when the runtime supports it, then chain synthesis after all lens outputs are ready
  • Post the research checkpoint comment to the PR before any branch mutation on a live PR
  • Post the final verdict comment to the PR before any approval or merge on a live PR
  • Make branch-sync or rebase needs explicit before patching the PR
  • Rebase dependency PR branches onto the latest base branch when refresh is required; do not merge the base branch into the PR branch
  • Make follow-up work explicit rather than burying it in review notes
  • Respect the maintainer as the final decision-maker
  • Keep review output in a consistent, repeatable structure

平台分布

Codex

34.53%
按下载量换算1,029

Claude

28.53%
按下载量换算850

Cursor

20.71%
按下载量换算617

Gemini CLI

10.53%
按下载量换算314

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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