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research-loop研究循环

Agent Skill

research-loop 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

3,834

周安装

163

GitHub Stars

公开资料未说明

下载量

1,343
OpenClaw

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

MIT-0

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:research-loop(研究循环)
来源仓库:https://github.com/wd041216-bit/research-loop
安装命令:
openclaw skills install research-loop
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install research-loop

简介

research-loop 是 Claude Code 兼容的研究工作流镜像,用于信息查找与筛选。

  • 适合在 OpenClaw 中根据关键词或任务场景快速定位候选结果。
  • 需结合来源仓库和 README 确认具体用法,安装前应检查权限与维护状态。
  • 可能触发联网、命令执行或文件读写,建议评估相关风险。
  • 仅当从 Claude Code 运行且需要相同源码时才使用此技能。

SKILL.md

name
research-loop
description
>-
version
1.0.0
metadata
openclaw
requires
bins
emoji
\F52C
homepage
https://github.com/wd041216-bit/10000-mentors-research-workflow
allowed-tools
model
inherit
argument-hint
<repo-url> [--max-cycles N] [--target-journal NAME] [--no-push]

Research Loop Compatibility Skill

This is the Claude Code compatibility mirror. The primary skill lives at:

.codex/skills/research-loop/

Use this mirror only when the runtime is Claude Code. Keep the same safety contract:

  1. Treat the current target repo HEAD as primary truth.
  2. Treat MemPalace, prior handoffs, and expert memory as secondary context.
  3. Use native web search only for short, attributed fresh context when needed.
  4. Do not require Ollama API keys or Ollama native web search.
  5. Run one bounded micro-step per cycle.
  6. Write source changes into the workflow run's source_changes/ repo-root mirror.
  7. Write the executor manifest with python3 -m autonomous_research_workflow.cli write-executor-manifest.
  8. Do not mark empirical progress unless runnable code or checkable result artifacts were produced.
  9. Run the protocol hygiene checks in protocol hygiene before choosing a micro-step.
  10. Run the innovation-frontier checks in innovation frontier so current assets calibrate the loop without trapping it.
  11. Stop only when Submission Advisor reports score >= 100 and level = submission_ready, executor completed, and delivery completed.

Phase Order

Run the 15-phase loop described in phases:

  1. source_intake
  2. mempalace_context
  3. council_knowledge
  4. expert_forum_coverage
  5. literature_refresh
  6. knowledge_publish
  7. advisor_design
  8. execution_packet
  9. executor_run
  10. advisor_reflection
  11. openspace_retrospective
  12. next_cycle_handoff
  13. star_office_status
  14. overwatcher_check
  15. github_publish

Native Executor

Phase 9 remains the key agent-native phase:

  • Read the execution packet.
  • Read the source clone.
  • Generate the smallest useful runnable research asset.
  • Write only to source_changes/.
  • Run lightweight checks when possible.
  • Write executor_manifest.json.

Use executor-template as the output contract.

Protocol Hygiene

Before the advisor or executor treats a repo as submission-ready, check for:

  • positioning drift between README claims and later submission/package locators
  • synthetic or structural claims being mislabeled as empirical results
  • tracked reproducibility artifacts that rewrite timestamps or other volatile fields
  • CI gates that omit confirm scripts or fail to check dirty diffs
  • premature dual-venue framing before empirical results exist
  • misleading names such as result_quality_* for input-quality analysis
  • weak contamination checks being promoted into strong evidence

Use protocol hygiene as the detailed rubric.

Innovation Frontier

Current assets are the evidence floor, not the imagination ceiling. Before selecting a micro-step, check whether the loop is overfitting to incomplete benchmarks, toy rows, inherited file names, or prior advisor backlog. Use innovation frontier to keep at least one evidence-linked but asset-transcending research route alive.

Completion Gate

Only stop when all are true:

  • Submission Advisor score is at least 100.
  • Submission Advisor level is submission_ready.
  • Executor manifest status is completed.
  • Delivery status is published or explicitly local_only for dry runs.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

85.95%
按下载量换算1,154

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。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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