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Agent Skill · 研究检索

fusion-package-scribe(融合包划线器)

fusion-package-scribe 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-package-scribe 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,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 40,294。

总安装 1,304周安装 56GitHub Stars 公开资料未说明下载 457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-package-scribe(融合包划线器)
来源仓库:https://github.com/equinor/fusion-skills
仓库路径:skills/fusion-package-scribe
安装命令:
npx skills add https://github.com/equinor/fusion-skills --skill fusion-package-scribe
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-package-scribe

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。

用于查找包管理与发布流程相关的操作指南。适合在维护私有仓库或发布公共模块时参考规范。可结合 npm/pypi 等平台了解版本号约定与发布检查项。建议在发布前完成自动化测试与依赖冲突扫描。fusion-package-scribe 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-package-scribe

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-package-s…;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

    它需要需要联网,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-package-scribe 怎么安装?

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

fusion-package-scribe 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-package-scribe 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

fusion-package-scribe 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-package-scribe 用的人多吗?

公开数据是累计安装 1,304 次,近一周安装 56 次,下载 457 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-package-scribe 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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-package-scribe

融合包划线器 · 本页

1,304—需要联网未明确通过

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

Package Scribe

Experimental caveat

This skill is experimental and not yet stable. Behavior, structure, and outputs may change between versions.

When to use

Use this skill when you need to systematically add or improve documentation across TypeScript packages — whether a full monorepo sweep or a single package.

Typical triggers:

  • "document all packages"
  • "improve docs for packages/utils/observable"
  • "add TSDoc to all public exports in this package"
  • "rewrite the README for this package"
  • "run a documentation pass on the monorepo"
  • "review the TSDoc quality in this package"

Implicit triggers:

  • A package has public exports with missing or stub TSDoc
  • A package README is outdated, inconsistent, or missing standard sections
  • A documentation sweep is planned across multiple packages

When not to use

Do not use this skill for:

  • Modifying runtime code (only doc comments and README files)
  • Generating API reference sites or TypeDoc output
  • Non-TypeScript languages (initial scope is TS/TSX only)
  • Auto-merging PRs or bypassing review workflows
  • Security vulnerability scanning or performance profiling
  • Replacing existing CI-based doc generation pipelines

Required inputs

If required inputs are missing or ambiguous, ask before proceeding.

  • Scope: monorepo root path or specific package path(s)
  • Mode: single (one package) or sweep (multiple packages)

Conditional inputs

  • Package filter: glob or list when processing a subset of packages
  • README template path: repo-specific template if not using the built-in default (for example under .github/instructions/)
  • Tracking issue: issue number for lifecycle updates (assign, status, close)
  • Commit style: repo-specific conventional commit format (defaults to docs(<package>):)
  • Batch size: number of packages per batch for sweep mode (defaults to 5)

Defaults

  • Mode: single (if only one package path provided)
  • Commit prefix: docs(<package-name>):
  • Batch size: 5 packages per sweep batch
  • README structure: built-in template from references/readme-template.md
  • Review council: enabled (runs after every package)

Precedence and standards discovery

This skill discovers and follows the target repository's own standards:

  1. Repository instructions — applicable files under .github/instructions/, CONTRIBUTING.md, contribute/
  2. Tooling configuration — tsconfig.json, biome.json, .editorconfig
  3. Companion skill — fusion-code-conventions for TSDoc rules, naming conventions, and intent quality (when installed)
  4. Built-in defaults — references/tsdoc-checklist.md and references/readme-template.md

Repository-level standards always win. When no repo standards exist, the built-in defaults apply.

Agent modes

AgentRoleActivated for
agents/orchestrator.agent.mdBatch coordinatorSweep mode — plans batches, manages token budgets, tracks progress
agents/documenter.agent.mdPer-package writerEvery package — scans API surface, generates TSDoc, rewrites README
agents/reviewer.agent.mdReview councilAfter each package — verifies intent, comprehension, retrieval fitness

In single-agent runtimes, all three roles run inline sequentially.

Instructions

Step 1 — Discover repository standards

Before generating any documentation:

  1. Search for repo-level documentation instructions:

- applicable files under .github/instructions/ - CONTRIBUTING.md, contribute/

  1. Read tsconfig.json to understand module structure, path aliases, and strict mode settings
  2. Read biome.json or equivalent linter config for style expectations
  3. Check if fusion-code-conventions is available — if so, defer to its TSDoc rules from references/typescript.conventions.md
  4. If no repo-level standards exist, use references/tsdoc-checklist.md as the quality baseline

Step 2 — Discover packages

  1. For single mode: validate the provided package path exists and has TypeScript source files
  2. For sweep mode:

- Read the root package.json or workspace config (pnpm-workspace.yaml, lerna.json, turbo.json) to find all packages - Filter by any provided glob/list - Sort packages by estimated size (file count) for batch planning - Write the discovery summary to .tmp/scribe-discovery-<context>.md

Step 3 — Plan execution (sweep mode only)

Activate agents/orchestrator.agent.md (or run inline):

  1. Group packages into batches of the configured batch size
  2. Order batches: smaller packages (fewer source files) first to maximize early throughput
  3. Estimate token budget per package: ~100 tokens per source file for reading, ~200 tokens per export for TSDoc generation
  4. If a single package exceeds 60% of the estimated context window, flag it for special handling (barrel exports first, defer internal modules)
  5. Write the execution plan to .tmp/scribe-plan-<context>.md

Step 4 — Process each package

Activate agents/documenter.agent.md (or run inline) for each package:

4a — Scan public API surface
  1. Find the barrel export file (index.ts, index.tsx, or main field in package.json)
  2. Trace all re-exports to identify the full public API surface
  3. Categorize exports: functions, classes, types/interfaces, constants, hooks, enums
  4. Prioritize: barrel exports first, then direct public exports, then internally-consumed-but-exported items
4b — Generate or improve TSDoc

For each public export:

  1. Read the existing implementation to understand intent, parameters, return values, error paths, and side effects
  2. Check for existing TSDoc — improve rather than replace when present
  3. Apply the TSDoc checklist (repo standards or references/tsdoc-checklist.md):

- Summary line: explain *why* and *what problem it solves*, not just *what it does* - @param for every parameter with meaningful descriptions - @returns for every non-void function - @template for every generic type parameter - @throws for meaningful error paths - @example for user-facing and non-trivial public APIs - @deprecated with replacement guidance when applicable

  1. Flag and rewrite "name-echo" patterns (for example /** Gets the value. */ getValue())
  2. Do not modify runtime code — only doc comments
4c — Rewrite or improve README
  1. Read the existing README (if any) to preserve valuable content
  2. Apply the README structure from repo instructions or references/readme-template.md:

- Package name and description - Features / key exports - Installation - Usage with code examples - API reference (summary of key exports with links or inline docs) - Configuration (if applicable)

  1. Ensure the README is useful to a developer discovering the package for the first time
  2. Optimize for retrieval: use clear headings, keyword-rich descriptions, and concrete examples

Step 5 — Review council

Activate agents/reviewer.agent.md (or run inline) after each package:

  1. Intent extraction — Does the TSDoc accurately describe *what the code does* and *why*? Flag any comment that merely restates the function/type name.
  2. Code comprehension — Are complex algorithms, state machines, or side effects explained? Would a new developer understand the code from the docs alone?
  3. User-facing quality — Is the README useful to someone discovering the package for the first time? Does it have working examples?
  4. Retrieval fitness — Will the documentation produce good hits in RAG / semantic search? Are key terms present in headings and summaries?

The reviewer produces a pass/fail per criterion. Failures loop back to Step 4 for the specific package.

Step 6 — Commit

After the review council passes for a package:

  1. Stage only documentation files (.ts/.tsx files for TSDoc changes, README.md)
  2. Commit using the repo's conventional commit format, defaulting to: docs(<package-name>): improve TSDoc and README documentation
  3. Do not push — leave that to the user or a PR workflow

Step 7 — Report

After all packages are processed:

  1. Write a summary to .tmp/scribe-report-<context>.md:

- Packages processed and status (pass/fail/skipped) - Total exports documented - Review council pass rates per criterion - Any packages flagged for manual review - Commits created

  1. If a tracking issue was provided, update it with the summary

Expected output

  • TSDoc comments on all public exports in processed packages
  • Consistent README for each processed package
  • One commit per package with documentation-only changes
  • Summary report in .tmp/
  • Tracking issue update (when issue number provided)

Safety & constraints

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

  • Only modify doc comments and README files — never touch runtime code
  • Do not push commits; leave push decisions to the user
  • Do not auto-merge PRs or bypass review workflows
  • Do not invent API behavior — document only what the code actually does
  • Do not delete or replace existing valuable documentation without preserving its content
  • When a tracking issue is referenced, update it only after explicit confirmation
  • Respect .gitignore and do not commit temporary files from .tmp/
  • If the review council fails a package twice, flag it for manual review instead of looping indefinitely

平台分布

Codex

36.57%
按下载量换算167

Claude

29.24%
按下载量换算134

Cursor

21.02%
按下载量换算96

Gemini CLI

9.41%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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