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Agent Skill · 研究检索

lifecyclemodel-resulting-process-builder(生命周期模型结果流程构建器)

lifecyclemodel-resulting-process-builder 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。

lifecyclemodel-resulting-process-builder 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 72,863。

总安装 186周安装 8GitHub Stars 4下载 65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:lifecyclemodel-resulting-process-builder(生命周期模型结果流程构建器)
来源仓库:https://github.com/tiangong-lca/skills
仓库路径:skills/lifecyclemodel-resulting-process-builder
安装命令:
npx skills add https://github.com/tiangong-lca/skills --skill lifecyclemodel-resulting-process-builder
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/tiangong-lca/skills --skill lifecyclemodel-resulting-process-builder

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。

lifecyclemodel-resulting-process-builder 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。

使用前建议核验是否会触发联网、命令执行或文件读写操作。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。

来源仓库内路径:skills/lifecyclemodel-resulting-process-builder

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/tiangong-lca/skills --skill lifecyclemodel-res…;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

lifecyclemodel-resulting-process-builder 怎么安装?

在终端执行 npx skills add https://github.com/tiangong-lca/skills --skill lifecyclemodel-resulting-pro…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

lifecyclemodel-resulting-process-builder 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。

lifecyclemodel-resulting-process-builder 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。

lifecyclemodel-resulting-process-builder 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。

lifecyclemodel-resulting-process-builder 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 4 星。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。

lifecyclemodel-resulting-process-builder 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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
lifecyclemodel-resulting-process-builder

生命周期模型结果流程构建器 · 本页

1864调用外部服务未明确未通过

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

Lifecycle Model Resulting Process Builder

Use this skill when the source of truth is already a lifecycle model json_ordered file and the next step is to deterministically compute the aggregated resulting process plus relation handoff artifacts, not to synthesize a process from external flow evidence.

Run Workflow

  1. By default the wrapper runs the published CLI through npm exec --yes --package=@tiangong-lca/cli@latest -- tiangong. Use TIANGONG_LCA_CLI_DIR or --cli-dir only for local dev/CI overrides.
  2. Use node scripts/run-lifecyclemodel-resulting-process-builder.mjs build... to delegate to tiangong lifecyclemodel build-resulting-process.
  3. Use node scripts/run-lifecyclemodel-resulting-process-builder.mjs publish... to delegate to tiangong lifecyclemodel publish-resulting-process.
  4. Confirm the local artifacts in the run directory before any later tiangong publish run step.

The active runtime path is skill -> Node wrapper -> tiangong CLI. Python and MCP are no longer part of the normal execution path for this skill.

What The Implementation Does

  • validates assets/request.schema.json
  • loads a lifecycle model from source_model.json_ordered or source_model.json_ordered_path
  • resolves referenced process datasets from local process exports
  • extracts process instances and graph edges from model topology
  • aggregates exchanges across included processes and cancels internal linked flows
  • derives:

- process-projection-bundle.json - projection-report.json - publish-bundle.json via publish - publish-intent.json via publish

  • emits relation payloads containing:

- generated_from_lifecyclemodel_id - generated_from_lifecyclemodel_version - projection_role - projection_signature

  • supports primary-only
  • accepts all-subproducts requests conservatively and reports when only a primary aggregated process can be emitted
  • keeps all work local; no remote write path is executed here

Inputs

Always provide:

  • source_model
  • projection
  • publish

Provide process_sources when local process resolution is not discoverable from the model path.

The source model may be provided as:

  • source_model.id
  • source_model.json_ordered_path
  • source_model.json_ordered

Referenced process datasets may be provided via:

  • process_sources.process_catalog_path
  • process_sources.run_dirs[]
  • process_sources.process_json_dirs[]
  • process_sources.process_json_files[]
  • auto-detected sibling directories such as processes/ or *-processes/ when using --model-file

Canonical request files should use process_sources.allow_remote_lookup, but the normal skill flow is still local-first and should keep it false unless deterministic remote process lookup is explicitly needed. When process_sources.allow_remote_lookup=true, supply TIANGONG_LCA_API_BASE_URL and TIANGONG_LCA_API_KEY or pass --base-url and --api-key through to the CLI.

Outputs

  • request.normalized.json
  • source-model.normalized.json
  • source-model.summary.json
  • projection-report.json
  • process-projection-bundle.json
  • publish-bundle.json from publish
  • publish-intent.json from publish

Commands

node scripts/run-lifecyclemodel-resulting-process-builder.mjs build \
  --request assets/example-request.json \
  --out-dir /abs/path/run-001

node scripts/run-lifecyclemodel-resulting-process-builder.mjs build \
  --model-file assets/example-model.json \
  --projection-role primary \
  --out-dir /abs/path/run-001

node scripts/run-lifecyclemodel-resulting-process-builder.mjs publish \
  --run-dir /abs/path/run-001 \
  --publish-processes \
  --publish-relations

# Force a local CLI working tree during dev/CI
TIANGONG_LCA_CLI_DIR=/path/to/tiangong-lca-cli \
  node scripts/run-lifecyclemodel-resulting-process-builder.mjs build --json

Use --model-file only when local process sources can be inferred from the model location. Use --request to pin process_sources.* explicitly. The wrapper keeps --request and --model-file as compatibility flags, but the underlying CLI contract is --input <request.json> for build and --run-dir <dir> for publish.

Separation Rule

  • use process-automated-builder for flow-to-process synthesis
  • use this skill for lifecyclemodel-to-resulting-process aggregation/build

They are different pipelines and should stay separate.

Load References On Demand

  • references/projection-workflow.md: intake to publish-handoff stages
  • references/projection-contract.md: bundle shape and relation semantics
  • references/builder-invocation-contract.md: caller/callee contract
  • references/integration-notes.md: current cross-project architecture notes

平台分布

Codex

39.81%
按下载量换算26

Claude

31.75%
按下载量换算21

Cursor

16.99%
按下载量换算11

Gemini CLI

9.25%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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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