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deliverable-selfloop可交付的自循环

Agent Skill

deliverable-selfloop 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。

总安装

423

周安装

18

GitHub Stars

422

下载量

148
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:deliverable-selfloop(可交付的自循环)
来源仓库:https://github.com/willoscar/research-units-pipeline-skills
仓库路径:skills/deliverable-selfloop
安装命令:
npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill deliverable-selfloop
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/willoscar/research-units-pipeline-skills --skill deliverable-selfloop

简介

deliverable-selfloop 通过自循环机制收敛流水线输出,确保交付物达到稳定、可读的质量基准。

  • 适用于创意路径产出物(如脑暴备忘录)的结构化组织与质量验证场景。
  • 要求按固定顺序读取参考文档,生成 REPORT.md、APPENDIX.md 及 trace 链文件。
  • 内置质量检查脚本,检测缺失章节与模板化语言反模式,强化输出一致性。
  • 安装命令:npx skills add https://github.com/willoscar/research-units-pipeline-skills --skill deliverable-selfloop

SKILL.md

Deliverable Self-Loop (fix-on-fail)

Goal: converge a pipeline deliverable to a stable, reader-facing quality bar.

For the ideation path, the target is now a brainstorm memo bundle:

  • output/REPORT.md
  • output/APPENDIX.md
  • output/REPORT.json
  • plus the supporting trace chain under output/trace/

Load Order

  1. Always read references/overview.md first — defines trace chain, convergence model, and upstream routing.
  2. Read references/quality_checklist.md before running the gate — lists required sections, quality tokens, and templated-language anti-patterns checked by the script.

Inputs

  • output/trace/IDEA_SIGNAL_TABLE.md
  • output/trace/IDEA_DIRECTION_POOL.md
  • output/trace/IDEA_SCREENING_TABLE.md
  • output/trace/IDEA_SHORTLIST.md
  • output/REPORT.md
  • output/APPENDIX.md
  • output/REPORT.json

Output

  • output/DELIVERABLE_SELFLOOP_TODO.md (report-class; always written)

Workflow

  1. Run the gate — run the script (see Script below) on the workspace. It checks trace presence, shortlist size, required sections, appendix quality, and templated language.
  2. Read the TODO report — open output/DELIVERABLE_SELFLOOP_TODO.md. If - Status: PASS, the deliverable is done.
  3. Fix blockers — for each issue listed under ## Remaining blockers:

- Missing output/trace/IDEA_SIGNAL_TABLE.md → run idea-signal-mapper. - Missing output/trace/IDEA_DIRECTION_POOL.md → run idea-direction-generator. - Missing output/trace/IDEA_SCREENING_TABLE.md → run idea-screener. - Missing output/trace/IDEA_SHORTLIST.md → run idea-shortlist-curator. - Missing REPORT sections → expand the report via idea-memo-writer. - Thin APPENDIX → enrich with per-paper reading guides. - Templated language → rewrite canned phrases to context-specific language.

  1. Rerun until PASS.

Acceptance

  • output/DELIVERABLE_SELFLOOP_TODO.md exists and contains - Status: PASS.
  • All 7 trace/output artifacts present and non-empty.
  • Shortlist size is 3–5.
  • No templated language detected.

Script (optional; deterministic gate)

Quick Start

  • python.codex/skills/deliverable-selfloop/scripts/run.py --workspace workspaces/<ws>

All Options

  • --workspace <dir> (required)
  • --unit-id <U###>
  • --inputs <semicolon-separated>
  • --outputs <semicolon-separated>
  • --checkpoint <C#>

Examples

  • Run the gate on a brainstorm workspace:

- python.codex/skills/deliverable-selfloop/scripts/run.py --workspace workspaces/brainstorm-llm-agents

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.97%
按下载量换算49

Claude

32.55%
按下载量换算48

Cursor

20.59%
按下载量换算30

Gemini CLI

9.78%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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